1) The document describes a methodology for encapsulating and representing knowledge about the evolution of an engineering system. It involves mathematical formalism to represent design steps, contradictions, goals and TRIZ principles.
2) A graph visualization is proposed to represent the design process, with nodes as possible TRIZ principles and colored nodes indicating principles selected at each step.
3) A database structure is outlined to store information on contradictions, principles, design steps and which principles were selected, along with explanations. This knowledge representation aims to guide design of similar products.
This document provides biographical and contact information for C Annamalai, an Assistant Registrar at Vinod Gupta School of Management at IIT Kharagpur. It lists his education, areas of research, awards, publications, text books he has reviewed, patents, copyrights, membership in professional organizations, and contact details.
Dr. Dattatreya Rachakonda has over 20 years of experience in academia and industry. He has a Ph.D in physics from IISc and has worked at IBM for 7 years managing modeling programs. He is currently a professor teaching undergraduate physics. He has extensive experience in areas such as semiconductor physics, fluid mechanics, and computational modeling.
IRJET- Comparative Study of Machine Learning Models for Alzheimer’s Detec...IRJET Journal
This document presents a comparative study of machine learning models for detecting Alzheimer's disease. The study uses MRI data to extract features like brain volume and uses those as inputs to various machine learning models like logistic regression, support vector machines, decision trees, random forests and AdaBoost. The performance of each model is evaluated using metrics like accuracy, sensitivity and specificity. The results show that the random forest model performs the best with the highest prediction rates, indicating it has potential for accurate early detection of Alzheimer's using MRI data.
FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZA...csandit
Recognizing Faces helps to name the various subjects present in the image. This work focuses
on labeling faces on an image which includes faces of humans being of various age group
(heterogeneous set ). Principal component analysis concentrates on finds the mean of the data
set and subtracts the mean value from the data set with an intention to normalize that data.
Normalization with respect to image is the removal of common features from the data set. This
work brings in the novel idea of deploying the median another measure of central tendency for
normalization rather than mean. The above work was implemented using matlab. Results show
that Median is the best measure for normalization for a heterogeneous data set which gives
raise to outliers.
Introduction to Management Information Systems (ISG 101E), for
undergraduate students in Industrial Engineering, Istanbul Technical University
Lecturer: Management Information Systems (ISG 511E), for graduate students in
Industrial Engineering, Istanbul Technical University
Lecturer: Healthcare Management (ISG 513E), for graduate students in Industrial
Engineering, Istanbul Technical University
Lecturer: Strategic Management (ISG 515E), for graduate students in Industrial
Engineering, Istanbul Technical University
Lecturer: Organization Theory (ISG 517E), for graduate students in Industrial
Engineering, Istanbul Technical University
Lecturer: Medical Informatics (BYE 513E), for graduate students in Bi
The document discusses the use of rapid prototyping (RP) techniques for designing and manufacturing customized anatomical implants. It provides an overview of various RP technologies such as stereolithography, selective laser sintering, and fused deposition modeling. The document then reviews several case studies on applications of RP in medicine, including the fabrication of custom implants and scaffolds, models for pre-operative surgical planning, and anatomical models for testing implants and techniques. Finally, it discusses how computed tomography and magnetic resonance imaging data can be converted into 3D models using software, before being manufactured using RP.
Rule-based expert systems for supporting university studentsertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/rule-based-expert-systems-for-supporting-university-students/
There are more than 15 million college students in the US alone. Academic advising for courses and scholarships is typically performed by human advisors, bringing an immense managerial workload to faculty members, as well as other staff at universities. This paper reports and discusses the development of two educational expert systems at a private international university. The first expert system is a course advising system which recommends courses to undergraduate students. The second system suggests scholarships to undergraduate students based on their eligibility. While there have been reported systems for course advising, the literature does not seem to contain any references to expert systems for scholarship recommendation and eligibility checking. Therefore the scholarship recommender that we developed is first of its kind. Both systems have been implemented and tested using Oracle Policy Automation (OPA) software.
MOST READ ARTICLES IN ARTIFICIAL INTELLIGENCE - International Journal of Arti...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
This document provides biographical and contact information for C Annamalai, an Assistant Registrar at Vinod Gupta School of Management at IIT Kharagpur. It lists his education, areas of research, awards, publications, text books he has reviewed, patents, copyrights, membership in professional organizations, and contact details.
Dr. Dattatreya Rachakonda has over 20 years of experience in academia and industry. He has a Ph.D in physics from IISc and has worked at IBM for 7 years managing modeling programs. He is currently a professor teaching undergraduate physics. He has extensive experience in areas such as semiconductor physics, fluid mechanics, and computational modeling.
IRJET- Comparative Study of Machine Learning Models for Alzheimer’s Detec...IRJET Journal
This document presents a comparative study of machine learning models for detecting Alzheimer's disease. The study uses MRI data to extract features like brain volume and uses those as inputs to various machine learning models like logistic regression, support vector machines, decision trees, random forests and AdaBoost. The performance of each model is evaluated using metrics like accuracy, sensitivity and specificity. The results show that the random forest model performs the best with the highest prediction rates, indicating it has potential for accurate early detection of Alzheimer's using MRI data.
FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS WITH MEDIAN FOR NORMALIZA...csandit
Recognizing Faces helps to name the various subjects present in the image. This work focuses
on labeling faces on an image which includes faces of humans being of various age group
(heterogeneous set ). Principal component analysis concentrates on finds the mean of the data
set and subtracts the mean value from the data set with an intention to normalize that data.
Normalization with respect to image is the removal of common features from the data set. This
work brings in the novel idea of deploying the median another measure of central tendency for
normalization rather than mean. The above work was implemented using matlab. Results show
that Median is the best measure for normalization for a heterogeneous data set which gives
raise to outliers.
Introduction to Management Information Systems (ISG 101E), for
undergraduate students in Industrial Engineering, Istanbul Technical University
Lecturer: Management Information Systems (ISG 511E), for graduate students in
Industrial Engineering, Istanbul Technical University
Lecturer: Healthcare Management (ISG 513E), for graduate students in Industrial
Engineering, Istanbul Technical University
Lecturer: Strategic Management (ISG 515E), for graduate students in Industrial
Engineering, Istanbul Technical University
Lecturer: Organization Theory (ISG 517E), for graduate students in Industrial
Engineering, Istanbul Technical University
Lecturer: Medical Informatics (BYE 513E), for graduate students in Bi
The document discusses the use of rapid prototyping (RP) techniques for designing and manufacturing customized anatomical implants. It provides an overview of various RP technologies such as stereolithography, selective laser sintering, and fused deposition modeling. The document then reviews several case studies on applications of RP in medicine, including the fabrication of custom implants and scaffolds, models for pre-operative surgical planning, and anatomical models for testing implants and techniques. Finally, it discusses how computed tomography and magnetic resonance imaging data can be converted into 3D models using software, before being manufactured using RP.
Rule-based expert systems for supporting university studentsertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/rule-based-expert-systems-for-supporting-university-students/
There are more than 15 million college students in the US alone. Academic advising for courses and scholarships is typically performed by human advisors, bringing an immense managerial workload to faculty members, as well as other staff at universities. This paper reports and discusses the development of two educational expert systems at a private international university. The first expert system is a course advising system which recommends courses to undergraduate students. The second system suggests scholarships to undergraduate students based on their eligibility. While there have been reported systems for course advising, the literature does not seem to contain any references to expert systems for scholarship recommendation and eligibility checking. Therefore the scholarship recommender that we developed is first of its kind. Both systems have been implemented and tested using Oracle Policy Automation (OPA) software.
MOST READ ARTICLES IN ARTIFICIAL INTELLIGENCE - International Journal of Arti...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
Optimizing Waste Collection In An Organized Industrial Region: A Case Studyertekg
This document summarizes a case study that optimizes industrial waste collection from 17 factories located in an organized industrial region in Turkey. The authors developed a mixed integer programming model to determine the optimal waste container locations and transportation routes to minimize total costs. They applied the model to real data from an industrial zone. The optimal solution selected 3 out of 5 candidate locations and had a minimum monthly cost of 70,338 Turkish Lira. The authors also created a visualization of the optimal supply chain network to provide additional insights into the solution.
Re-Mining Item Associations: Methodology and a Case Study in Apparel Retailingertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/re-mining-item-associations-methodology-and-a-case-study-in-apparel-retailing/
Association mining is the conventional data mining technique for analyz-ing market basket data and it reveals the positive and negative associations between items. While being an integral part of transaction data, pricing and time information have not been integrated into market basket analy-sis in earlier studies. This paper proposes a new approach to mine price, time and domain related attributes through re-mining of association mining results. The underlying factors behind positive and negative relationships can be characterized and described through this second data mining stage. The applicability of the methodology is demonstrated through the analy-sis of data coming from a large apparel retail chain, and its algorithmic complexity is analyzed in comparison to the existing techniques.
Visual Mining of Science Citation Data for Benchmarking Scientific and Techno...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/visual-mining-of-science-citation-data-for-benchmarking-scientific-and-technological-competitiveness-of-world-countries/
In this paper we present a study where we visually analyzed science citation data to investigate the competitiveness of world countries in selected categories of science. The dataset that we worked on in our study includes the number of papers published and the number of citations made in the ESI (Essential Science Indicators) database in 2004. The dataset lists these values for practically every country in the world. In analyzing the data, we employ methods and software tools developed and used in the data mining and information visualization fields of the Computer Science. Some of the questions for which we look for answers in this study are the following: (a) Which countries are most competitive in the selected categories of science? (i.e. Engineering, Computer Science, Economics & Business) (b) What type of correlations exist between different categories of science? For example, do countries with many published papers in the field of Engineering science also have many papers published on Computer Science or Economics & Business? (c) Which countries produce the most influential papers? This analysis is needed since a country may have many papers published but these papers may be cited very rarely. (d) Can we gain useful and actionable insights by combining science citation data with socioeconomic and geographical data?
Impact of Cross Aisles in a Rectangular Warehouse: A Computational Studyertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/impact-of-cross-aisles-in-a-rectangular-warehouse-a-computational-study/
Order picking is typically the most costly operation in a warehouse and traveling is typically the most time consuming task within order picking. In this study we focus on the layout design for a rectangular warehouse, a warehouse with parallel storage blocks with main aisles separating them. We specifically analyze the impact of adding cross aisles that cut storage blocks perpendicularly, which can reduce travel times during order picking by introducing flexibility in going from one main aisle to the next. We consider two types of cross aisles, those that are equally spaced (Case 1) and those that are unequally spaced, which respectively have equal and unequal distances among them. For Case 2, we extend an earlier model and present a heuristic algorithm for finding the best distances among cross aisles. We carry out extensive computational experiments for a variety of warehouse designs. Our findings suggest that warehouse planners can obtain great travel time savings through establishing equally spaced cross aisles, but little additional savings in unequally-spaced cross isles. We present a look-up table that provides the best number of equally spaced cross aisles when the number of cross aisles (N) and the length of the warehouse (T) are given. Finally, when the values of N and T are not known, we suggest establishing three cross aisles in a warehouse.Order picking is typically the most costly operation in a warehouse and traveling is typically the most time consuming task within order picking. In this study we focus on the layout design for a rectangular warehouse, a warehouse with parallel storage blocks with main aisles separating them. We specifically analyze the impact of adding cross aisles that cut storage blocks perpendicularly, which can reduce travel times during order picking by introducing flexibility in going from one main aisle to the next. We consider two types of cross aisles, those that are equally spaced (Case 1) and those that are unequally spaced, which respectively have equal and unequal distances among them. For Case 2, we extend an earlier model and present a heuristic algorithm for finding the best distances among cross aisles. We carry out extensive computational experiments for a variety of warehouse designs. Our findings suggest that warehouse planners can obtain great travel time savings through establishing equally spaced cross aisles, but little additional savings in unequally-spaced cross isles. We present a look-up table that provides the best number of equally spaced cross aisles when the number of cross aisles (N) and the length of the warehouse (T) are given. Finally, when the values of N and T are not known, we suggest establishing three cross aisles in a warehouse.
Financial Benchmarking Of Transportation Companies In The New York Stock Exc...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/financial-benchmarking-of-transportation-companies-in-the-new-york-stock-exchange-nyse-through-data-envelopment-analysis-dea-and-visualization/
In this paper, we present a benchmarking study of industrial transportation companies traded in the New York Stock Exchange (NYSE). There are two distinguishing aspects of our study: First, instead of using operational data for the input and the output items of the developed Data Envelopment Analysis (DEA) model, we use financial data of the companies that are readily available on the Internet. Secondly, we visualize the efficiency scores of the companies in relation to the subsectors and the number of employees. These visualizations enable us to discover interesting insights about the companies within each subsector, and about subsectors in comparison to each other. The visualization approach that we employ can be used in any DEA study that contains subgroups within a group. Thus, our paper also contains a methodological contribution.
Statistical Scoring Algorithm for Learning and Study Skillsertekg
İndirmek için Bağlantı > https://ertekprojects.com/gurdal-ertek-publications/blog/statistical-scoring-algorithm-for-learning-and-study-skills/
This study examines the study skills and the learning styles of university students by using scoring method. The study investigates whether the study skills can be summarized in a single universal score that measures how hard a student works. The sample consists of 418 undergraduate students of an international university. The presented scoring was method adapted from the domain of risk management. The proposed method computes an overall score that represents the study skills, using a linear weighted summation scheme. From among 50 questions regarding to learning and study skills, the 30 highest weighted questions are suggested to be used in the future studies as a learning and study skills inventor. The proposed scoring method and study yield results and insights that can guide educators regarding how they can improve their students’ study skills. The main point drawn from this study is that the students greatly value opportunities for interaction with instructors and peers, cooperative learning and active engagement in lectures.
Visual and analytical mining of transactions data for production planning f...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/visual-and-analytical-mining-of-sales-transaction-data-for-production-planning-and-marketing/
Recent developments in information technology paved the way for the collection of large amounts of data pertaining to various aspects of an enterprise. The greatest challenge faced in processing these massive amounts of raw data gathered turns out to be the effective management of data with the ultimate purpose of deriving necessary and meaningful information out of it. The following paper presents an attempt to illustrate the combination of visual and analytical data mining techniques for planning of marketing and production activities. The primary phases of the proposed framework consist of filtering, clustering and comparison steps
implemented using interactive pie charts, K-Means algorithm and parallel coordinate plots respectively. A prototype decision support system is developed and a sample analysis session is conducted to demonstrate the applicability of the framework.
Design Requirements For a Tendon Rehabilitation Robot: Results From a Survey ...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/design-requirements-for-a-tendon-rehabilitation-robot-results-from-a-survey-of-engineers-and-health-professionals/
Exoskeleton type finger rehabilitation robots are helpful in assisting the treatment of tendon injuries. A survey has been carried out with engineers and health professionals to further develop an existing finger exoskeleton prototype. The goal of the study is to better understand the relative importance of several design criteria through the analysis of survey results and to improve the finger exoskeleton accordingly. The survey questions with strong correlations are identified and the preferences of the two respondent groups are statistically compared. The results of the statistical analysis are interpreted and insights obtained are used to guide the design process. The answers to the qualitative questions are also discussed together with their design implications. Finally, Quality Function Deployment (QFD) has been employed for visualizing these functional requirements in relation to the customer requirements.
Linking Behavioral Patterns to Personal Attributes through Data Re-Miningertekg
Download Link >https://ertekprojects.com/gurdal-ertek-publications/blog/linking-behavioral-patterns-to-personal-attributes-through-data-re-mining/
A fundamental challenge in behavioral informatics is the development of methodologies and systems that can achieve its goals and tasks, including be-havior pattern analysis. This study presents such a methodology, that can be con-verted into a decision support system, by the appropriate integration of existing tools for association mining and graph visualization. The methodology enables the linking of behavioral patterns to personal attributes, through the re-mining of colored association graphs that represent item associations. The methodology is described and mathematically formalized, and is demonstrated in a case study related with retail industry.
Simulation Modeling For Quality And Productivity In Steel Cord Manufacturingertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/simulation-modeling-for-quality-and-productivity-in-steel-cord-manufacturing/
We describe the application of simulation modeling to estimate and improve quality and productivity performance of a steel cord manufacturing system. We describe the typical steel cord manufacturing plant, emphasize its distinguishing characteristics, identify various production settings and discuss applicability of simulation as a management decision support tool. Besides presenting the general structure of the developed simulation model, we focus on wire fractures, which can be an important source of system disruption.
The Bullwhip Effect In Supply Chain Reflections After A Decadeertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/the-bullwhip-effect-in-supply-chain-reflections-after-a-decade/
A decade has passed since the publication of the two seminal papers by Lee, Padmanabhan and Whang (1997) that describes the “bullwhip effect” in supply chains and characterizes its underlying causes. The bullwhip phenomenon is observed in supply chains where the decisions at the subsequent stages of the supply chain are made greedily based on local information, rather than through coordination based on global information on the state of the whole chain. The first consequence of this information distortion is higher variance in purchasing quantities compared to sales quantities at a particular supply chain stage. The second consequence is increasingly higher variance in order quantities and inventory levels in the upstream stages compared to their downstream stages (buyers). In this paper, we survey a decade of literature on the bullwhip effect and present the key insights reported by researchers and practitioners. We also present our reflections and share our vision of possible future.
Teaching Warehousing Concepts through Interactive Animations and 3-D Modelsertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/teaching-warehousing-concepts-through-interactive-animations-and-3-d-models/
Teaching Warehousing Concepts through Interactive Animations and 3-D Models
İndirmek için Bağlantı > https://ertekprojects.com/gurdal-ertek-publications/blog/depolama-sistemleri/
Depolar, ürünlerin dağıtımı sırasında kullanılan geçici stok noktalarıdır. Depolar, tedarik zincirlerinin hedeflenen amaçlar doğrultusunda çalışmasına ve lojistik faaliyetlerinin etkin yürütülmesine önemli katkıda bulunurlar. Depolar, üretim tesislerinin içinde veya yanında bulunabileceği gibi, ayrı, özel olarak inşa edilmiş yapılar halinde de kurulabilirler. Şekil 4.1’de, tipik bir deponun genel görünüşü sunulmaktadır. Malzeme/ürünler, bu tipik depoda raflarda depolanmakta, malzeme giriş çıkışları depo rampaları üzerinden gerçekleşmekte, yükleme/boşaltma işlemleri forklift olarak adlandırılan araçlar kullanılarak gerçekleştirilmektedir. Deponun yönetimi, Depo Yöneticisi (Warehouse Manager) ya da Depo Müdürüunvanını taşıyan bir lojistik uzmanı tarafından yürütülmektedir.
Application of local search methods for solving a quadratic assignment proble...ertekg
Ertek, G., Aksu, B., Birbil, S. E., İkikat, M. C., Yıldırmaz, C. (2005). “Application of local search methods for solving a quadratic assignment problem: A case study”, Proceedings of Computers and Industrial Engineering Conference, 2005. Istanbul, Turkey.
Application Of Local Search Methods For Solving A Quadratic Assignment Probl...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/application-of-local-search-methods-for-solving-a-quadratic-assignment-problem-a-case-study/
This paper discusses the design and application of local search methods to a real-life application at a steel cord manufacturing plant. The case study involves a layout problem that can be represented as a Quadratic Assignment Problem (QAP). Due to the nature of the manufacturing process, certain machinery need to be allocated in close proximity to each other. This issue is incorporated into the objective function through assigning high penalty costs to the unfavorable allocations. QAP belongs to one of the most difficult class of combinatorial optimization problems, and is not solvable to optimality as the number of facilities increases. We implement the well-known local search methods, 2-opt, 3-opt and tabu search. We compare the solution performances of the methods to the results obtained from the NEOS server, which provides free access to many optimization solvers on the internet.
Supplier and Buyer Driven Channels in a Two-Stage Supply Chainertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/supplier-and-buyer-driven-channels-in-a-two-stage-supply-chain/
We explore the impact of power structure on price, sensitivity of market price, and profits in a two-stage supply chain with single product, supplier and buyer, and a price sensitive market. We develop and analyze the case where the supplier has dominant bargaining power and the case where the buyer has dominant bargaining power. We consider a pricing scheme for the buyer that involves both a multiplier and a markup. We show that it is optimal for the buyer to set the markup to zero and use only a multiplier. We also show that the market price and its sensitivity are higher when operational costs (namely distribution and inventory) exist. We observe that the sensitivity of the market price increases non-linearly as the wholesale price increases, and derive a lower bound for it. Through experimental analysis, we show that marginal impact of increasing shipment cost and carrying charge (interest rate) on prices and profits are decreasing in both cases. Finally, we show that there exist problem instances where the buyer may prefer supplier-driven case to markup-only buyer-driven and similarly problem instances where the supplier may prefer markup-only buyer-driven case to supplier-driven.
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/modelling-the-supply-chain-perception-gaps/
This study applies the research of perception gap analysis to supply chain integration and develops a generic model, the 3-Level Gaps Model, with the goal of contributing to harmonization and integration in the supply chain. The model suggests that significant perception gaps may exist among supply chain members with regards to the importance of different performance criteria. The concept of the model is conceived through an empirical and inductive approach, combining the research discipline of supply chain relationship and perception gap analysis. First hand data has been collected through a survey across a key buyer in the motor insurance industry and its eight suppliers. Rigorous statistical analysis testified the research hypotheses, which in turn verified the validity and relevance of the developed 3-Level Gaps Model. The research reveals the significant existence of supply chain perception gaps at all three levels as defined, which could be the root-causes to underperformed supply chain.
An Open Source Java Code For Visualizing Supply Chain Problemsertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/an-open-source-java-code-for-visualizing-supply-chain-problems/
In this paper, we decribe an open source Java class library for visualizing supply chain problems within a geographical context. The highly competitive markets and recent technological advances make the use of such supply chain network visualizations critical in both strategic and tactical levels. The most important characteristic of our work is its easy integration with any Java application. Our software differs from any other commercial and open source supply chain visualization tool by its simple structure, easy adoption and implementation and high compatibility. The main motivation of our study was to develop a simple – yet effective – library that would not require to learn and apply complicated visualization tools and data structures such as Geographical Information Systems (GIS). In this study, we illustrate the use of our visualization tool through maps of Turkey, Europe, North and South America, the United States and the NAFTA. We believe that ease of visualization offered by our open source tool will contribute to a multitude of projects in supply chain design, as well as increasing productive communication among practitioners, especially involved in strategic level decision making processes. We foresee that our supply chain visualization tool will fill a gap in this area with its simple but effective structure.
Encapsulating And Representing The Knowledge On The Evolution Of An Engineeri...Gurdal Ertek
This paper proposes a cross-disciplinary methodology for a fundamental question in product development: How can the innovation patterns during the evolution of an engineering system (ES) be encapsulated, so that it can later be mined through data analysis methods? Reverse engineering answers the question of which components a developed engineering system consists of, and how the components interact to make
the working product. TRIZ answers the question of which problem-solving principles can be, or have been employed in developing that system, in comparison to its earlier versions, or with respect to similar systems. While these two methodologies have been very popular, to the best of our knowledge, there does not yet exist a methodology that
reverse-engineers, encapsulates and represents the information regarding the application of TRIZ through the complete product development process. This paper suggests such a methodology that consists of mathematical formalism, graph visualization, and database representation. The proposed approach is demonstrated by analyzing the design and development process for a prototype wrist-rehabilitation
robot and representing the process as a graph that consists of TRIZ principles.
http://research.sabanciuniv.edu.
Product quality improved using triz a case study in increasing innovative opt...eSAT Publishing House
1. The authors applied TRIZ (Theory of Inventive Problem Solving) to solve a quality issue of particulate matter remaining in engine block pockets after cleaning.
2. Using TRIZ tools like contradiction matrix and Su-Field analysis, the authors determined that the rust preventive oil used in machining was causing dust to adhere in pockets.
3. The authors proposed using a lighter, less viscous oil at the machining stage to reduce adhesion. This solution eliminated manual cleaning and achieved the quality standard of less than 70mg particulate matter after machine cleaning alone.
Optimizing Waste Collection In An Organized Industrial Region: A Case Studyertekg
This document summarizes a case study that optimizes industrial waste collection from 17 factories located in an organized industrial region in Turkey. The authors developed a mixed integer programming model to determine the optimal waste container locations and transportation routes to minimize total costs. They applied the model to real data from an industrial zone. The optimal solution selected 3 out of 5 candidate locations and had a minimum monthly cost of 70,338 Turkish Lira. The authors also created a visualization of the optimal supply chain network to provide additional insights into the solution.
Re-Mining Item Associations: Methodology and a Case Study in Apparel Retailingertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/re-mining-item-associations-methodology-and-a-case-study-in-apparel-retailing/
Association mining is the conventional data mining technique for analyz-ing market basket data and it reveals the positive and negative associations between items. While being an integral part of transaction data, pricing and time information have not been integrated into market basket analy-sis in earlier studies. This paper proposes a new approach to mine price, time and domain related attributes through re-mining of association mining results. The underlying factors behind positive and negative relationships can be characterized and described through this second data mining stage. The applicability of the methodology is demonstrated through the analy-sis of data coming from a large apparel retail chain, and its algorithmic complexity is analyzed in comparison to the existing techniques.
Visual Mining of Science Citation Data for Benchmarking Scientific and Techno...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/visual-mining-of-science-citation-data-for-benchmarking-scientific-and-technological-competitiveness-of-world-countries/
In this paper we present a study where we visually analyzed science citation data to investigate the competitiveness of world countries in selected categories of science. The dataset that we worked on in our study includes the number of papers published and the number of citations made in the ESI (Essential Science Indicators) database in 2004. The dataset lists these values for practically every country in the world. In analyzing the data, we employ methods and software tools developed and used in the data mining and information visualization fields of the Computer Science. Some of the questions for which we look for answers in this study are the following: (a) Which countries are most competitive in the selected categories of science? (i.e. Engineering, Computer Science, Economics & Business) (b) What type of correlations exist between different categories of science? For example, do countries with many published papers in the field of Engineering science also have many papers published on Computer Science or Economics & Business? (c) Which countries produce the most influential papers? This analysis is needed since a country may have many papers published but these papers may be cited very rarely. (d) Can we gain useful and actionable insights by combining science citation data with socioeconomic and geographical data?
Impact of Cross Aisles in a Rectangular Warehouse: A Computational Studyertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/impact-of-cross-aisles-in-a-rectangular-warehouse-a-computational-study/
Order picking is typically the most costly operation in a warehouse and traveling is typically the most time consuming task within order picking. In this study we focus on the layout design for a rectangular warehouse, a warehouse with parallel storage blocks with main aisles separating them. We specifically analyze the impact of adding cross aisles that cut storage blocks perpendicularly, which can reduce travel times during order picking by introducing flexibility in going from one main aisle to the next. We consider two types of cross aisles, those that are equally spaced (Case 1) and those that are unequally spaced, which respectively have equal and unequal distances among them. For Case 2, we extend an earlier model and present a heuristic algorithm for finding the best distances among cross aisles. We carry out extensive computational experiments for a variety of warehouse designs. Our findings suggest that warehouse planners can obtain great travel time savings through establishing equally spaced cross aisles, but little additional savings in unequally-spaced cross isles. We present a look-up table that provides the best number of equally spaced cross aisles when the number of cross aisles (N) and the length of the warehouse (T) are given. Finally, when the values of N and T are not known, we suggest establishing three cross aisles in a warehouse.Order picking is typically the most costly operation in a warehouse and traveling is typically the most time consuming task within order picking. In this study we focus on the layout design for a rectangular warehouse, a warehouse with parallel storage blocks with main aisles separating them. We specifically analyze the impact of adding cross aisles that cut storage blocks perpendicularly, which can reduce travel times during order picking by introducing flexibility in going from one main aisle to the next. We consider two types of cross aisles, those that are equally spaced (Case 1) and those that are unequally spaced, which respectively have equal and unequal distances among them. For Case 2, we extend an earlier model and present a heuristic algorithm for finding the best distances among cross aisles. We carry out extensive computational experiments for a variety of warehouse designs. Our findings suggest that warehouse planners can obtain great travel time savings through establishing equally spaced cross aisles, but little additional savings in unequally-spaced cross isles. We present a look-up table that provides the best number of equally spaced cross aisles when the number of cross aisles (N) and the length of the warehouse (T) are given. Finally, when the values of N and T are not known, we suggest establishing three cross aisles in a warehouse.
Financial Benchmarking Of Transportation Companies In The New York Stock Exc...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/financial-benchmarking-of-transportation-companies-in-the-new-york-stock-exchange-nyse-through-data-envelopment-analysis-dea-and-visualization/
In this paper, we present a benchmarking study of industrial transportation companies traded in the New York Stock Exchange (NYSE). There are two distinguishing aspects of our study: First, instead of using operational data for the input and the output items of the developed Data Envelopment Analysis (DEA) model, we use financial data of the companies that are readily available on the Internet. Secondly, we visualize the efficiency scores of the companies in relation to the subsectors and the number of employees. These visualizations enable us to discover interesting insights about the companies within each subsector, and about subsectors in comparison to each other. The visualization approach that we employ can be used in any DEA study that contains subgroups within a group. Thus, our paper also contains a methodological contribution.
Statistical Scoring Algorithm for Learning and Study Skillsertekg
İndirmek için Bağlantı > https://ertekprojects.com/gurdal-ertek-publications/blog/statistical-scoring-algorithm-for-learning-and-study-skills/
This study examines the study skills and the learning styles of university students by using scoring method. The study investigates whether the study skills can be summarized in a single universal score that measures how hard a student works. The sample consists of 418 undergraduate students of an international university. The presented scoring was method adapted from the domain of risk management. The proposed method computes an overall score that represents the study skills, using a linear weighted summation scheme. From among 50 questions regarding to learning and study skills, the 30 highest weighted questions are suggested to be used in the future studies as a learning and study skills inventor. The proposed scoring method and study yield results and insights that can guide educators regarding how they can improve their students’ study skills. The main point drawn from this study is that the students greatly value opportunities for interaction with instructors and peers, cooperative learning and active engagement in lectures.
Visual and analytical mining of transactions data for production planning f...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/visual-and-analytical-mining-of-sales-transaction-data-for-production-planning-and-marketing/
Recent developments in information technology paved the way for the collection of large amounts of data pertaining to various aspects of an enterprise. The greatest challenge faced in processing these massive amounts of raw data gathered turns out to be the effective management of data with the ultimate purpose of deriving necessary and meaningful information out of it. The following paper presents an attempt to illustrate the combination of visual and analytical data mining techniques for planning of marketing and production activities. The primary phases of the proposed framework consist of filtering, clustering and comparison steps
implemented using interactive pie charts, K-Means algorithm and parallel coordinate plots respectively. A prototype decision support system is developed and a sample analysis session is conducted to demonstrate the applicability of the framework.
Design Requirements For a Tendon Rehabilitation Robot: Results From a Survey ...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/design-requirements-for-a-tendon-rehabilitation-robot-results-from-a-survey-of-engineers-and-health-professionals/
Exoskeleton type finger rehabilitation robots are helpful in assisting the treatment of tendon injuries. A survey has been carried out with engineers and health professionals to further develop an existing finger exoskeleton prototype. The goal of the study is to better understand the relative importance of several design criteria through the analysis of survey results and to improve the finger exoskeleton accordingly. The survey questions with strong correlations are identified and the preferences of the two respondent groups are statistically compared. The results of the statistical analysis are interpreted and insights obtained are used to guide the design process. The answers to the qualitative questions are also discussed together with their design implications. Finally, Quality Function Deployment (QFD) has been employed for visualizing these functional requirements in relation to the customer requirements.
Linking Behavioral Patterns to Personal Attributes through Data Re-Miningertekg
Download Link >https://ertekprojects.com/gurdal-ertek-publications/blog/linking-behavioral-patterns-to-personal-attributes-through-data-re-mining/
A fundamental challenge in behavioral informatics is the development of methodologies and systems that can achieve its goals and tasks, including be-havior pattern analysis. This study presents such a methodology, that can be con-verted into a decision support system, by the appropriate integration of existing tools for association mining and graph visualization. The methodology enables the linking of behavioral patterns to personal attributes, through the re-mining of colored association graphs that represent item associations. The methodology is described and mathematically formalized, and is demonstrated in a case study related with retail industry.
Simulation Modeling For Quality And Productivity In Steel Cord Manufacturingertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/simulation-modeling-for-quality-and-productivity-in-steel-cord-manufacturing/
We describe the application of simulation modeling to estimate and improve quality and productivity performance of a steel cord manufacturing system. We describe the typical steel cord manufacturing plant, emphasize its distinguishing characteristics, identify various production settings and discuss applicability of simulation as a management decision support tool. Besides presenting the general structure of the developed simulation model, we focus on wire fractures, which can be an important source of system disruption.
The Bullwhip Effect In Supply Chain Reflections After A Decadeertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/the-bullwhip-effect-in-supply-chain-reflections-after-a-decade/
A decade has passed since the publication of the two seminal papers by Lee, Padmanabhan and Whang (1997) that describes the “bullwhip effect” in supply chains and characterizes its underlying causes. The bullwhip phenomenon is observed in supply chains where the decisions at the subsequent stages of the supply chain are made greedily based on local information, rather than through coordination based on global information on the state of the whole chain. The first consequence of this information distortion is higher variance in purchasing quantities compared to sales quantities at a particular supply chain stage. The second consequence is increasingly higher variance in order quantities and inventory levels in the upstream stages compared to their downstream stages (buyers). In this paper, we survey a decade of literature on the bullwhip effect and present the key insights reported by researchers and practitioners. We also present our reflections and share our vision of possible future.
Teaching Warehousing Concepts through Interactive Animations and 3-D Modelsertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/teaching-warehousing-concepts-through-interactive-animations-and-3-d-models/
Teaching Warehousing Concepts through Interactive Animations and 3-D Models
İndirmek için Bağlantı > https://ertekprojects.com/gurdal-ertek-publications/blog/depolama-sistemleri/
Depolar, ürünlerin dağıtımı sırasında kullanılan geçici stok noktalarıdır. Depolar, tedarik zincirlerinin hedeflenen amaçlar doğrultusunda çalışmasına ve lojistik faaliyetlerinin etkin yürütülmesine önemli katkıda bulunurlar. Depolar, üretim tesislerinin içinde veya yanında bulunabileceği gibi, ayrı, özel olarak inşa edilmiş yapılar halinde de kurulabilirler. Şekil 4.1’de, tipik bir deponun genel görünüşü sunulmaktadır. Malzeme/ürünler, bu tipik depoda raflarda depolanmakta, malzeme giriş çıkışları depo rampaları üzerinden gerçekleşmekte, yükleme/boşaltma işlemleri forklift olarak adlandırılan araçlar kullanılarak gerçekleştirilmektedir. Deponun yönetimi, Depo Yöneticisi (Warehouse Manager) ya da Depo Müdürüunvanını taşıyan bir lojistik uzmanı tarafından yürütülmektedir.
Application of local search methods for solving a quadratic assignment proble...ertekg
Ertek, G., Aksu, B., Birbil, S. E., İkikat, M. C., Yıldırmaz, C. (2005). “Application of local search methods for solving a quadratic assignment problem: A case study”, Proceedings of Computers and Industrial Engineering Conference, 2005. Istanbul, Turkey.
Application Of Local Search Methods For Solving A Quadratic Assignment Probl...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/application-of-local-search-methods-for-solving-a-quadratic-assignment-problem-a-case-study/
This paper discusses the design and application of local search methods to a real-life application at a steel cord manufacturing plant. The case study involves a layout problem that can be represented as a Quadratic Assignment Problem (QAP). Due to the nature of the manufacturing process, certain machinery need to be allocated in close proximity to each other. This issue is incorporated into the objective function through assigning high penalty costs to the unfavorable allocations. QAP belongs to one of the most difficult class of combinatorial optimization problems, and is not solvable to optimality as the number of facilities increases. We implement the well-known local search methods, 2-opt, 3-opt and tabu search. We compare the solution performances of the methods to the results obtained from the NEOS server, which provides free access to many optimization solvers on the internet.
Supplier and Buyer Driven Channels in a Two-Stage Supply Chainertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/supplier-and-buyer-driven-channels-in-a-two-stage-supply-chain/
We explore the impact of power structure on price, sensitivity of market price, and profits in a two-stage supply chain with single product, supplier and buyer, and a price sensitive market. We develop and analyze the case where the supplier has dominant bargaining power and the case where the buyer has dominant bargaining power. We consider a pricing scheme for the buyer that involves both a multiplier and a markup. We show that it is optimal for the buyer to set the markup to zero and use only a multiplier. We also show that the market price and its sensitivity are higher when operational costs (namely distribution and inventory) exist. We observe that the sensitivity of the market price increases non-linearly as the wholesale price increases, and derive a lower bound for it. Through experimental analysis, we show that marginal impact of increasing shipment cost and carrying charge (interest rate) on prices and profits are decreasing in both cases. Finally, we show that there exist problem instances where the buyer may prefer supplier-driven case to markup-only buyer-driven and similarly problem instances where the supplier may prefer markup-only buyer-driven case to supplier-driven.
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/modelling-the-supply-chain-perception-gaps/
This study applies the research of perception gap analysis to supply chain integration and develops a generic model, the 3-Level Gaps Model, with the goal of contributing to harmonization and integration in the supply chain. The model suggests that significant perception gaps may exist among supply chain members with regards to the importance of different performance criteria. The concept of the model is conceived through an empirical and inductive approach, combining the research discipline of supply chain relationship and perception gap analysis. First hand data has been collected through a survey across a key buyer in the motor insurance industry and its eight suppliers. Rigorous statistical analysis testified the research hypotheses, which in turn verified the validity and relevance of the developed 3-Level Gaps Model. The research reveals the significant existence of supply chain perception gaps at all three levels as defined, which could be the root-causes to underperformed supply chain.
An Open Source Java Code For Visualizing Supply Chain Problemsertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/an-open-source-java-code-for-visualizing-supply-chain-problems/
In this paper, we decribe an open source Java class library for visualizing supply chain problems within a geographical context. The highly competitive markets and recent technological advances make the use of such supply chain network visualizations critical in both strategic and tactical levels. The most important characteristic of our work is its easy integration with any Java application. Our software differs from any other commercial and open source supply chain visualization tool by its simple structure, easy adoption and implementation and high compatibility. The main motivation of our study was to develop a simple – yet effective – library that would not require to learn and apply complicated visualization tools and data structures such as Geographical Information Systems (GIS). In this study, we illustrate the use of our visualization tool through maps of Turkey, Europe, North and South America, the United States and the NAFTA. We believe that ease of visualization offered by our open source tool will contribute to a multitude of projects in supply chain design, as well as increasing productive communication among practitioners, especially involved in strategic level decision making processes. We foresee that our supply chain visualization tool will fill a gap in this area with its simple but effective structure.
Encapsulating And Representing The Knowledge On The Evolution Of An Engineeri...Gurdal Ertek
This paper proposes a cross-disciplinary methodology for a fundamental question in product development: How can the innovation patterns during the evolution of an engineering system (ES) be encapsulated, so that it can later be mined through data analysis methods? Reverse engineering answers the question of which components a developed engineering system consists of, and how the components interact to make
the working product. TRIZ answers the question of which problem-solving principles can be, or have been employed in developing that system, in comparison to its earlier versions, or with respect to similar systems. While these two methodologies have been very popular, to the best of our knowledge, there does not yet exist a methodology that
reverse-engineers, encapsulates and represents the information regarding the application of TRIZ through the complete product development process. This paper suggests such a methodology that consists of mathematical formalism, graph visualization, and database representation. The proposed approach is demonstrated by analyzing the design and development process for a prototype wrist-rehabilitation
robot and representing the process as a graph that consists of TRIZ principles.
http://research.sabanciuniv.edu.
Product quality improved using triz a case study in increasing innovative opt...eSAT Publishing House
1. The authors applied TRIZ (Theory of Inventive Problem Solving) to solve a quality issue of particulate matter remaining in engine block pockets after cleaning.
2. Using TRIZ tools like contradiction matrix and Su-Field analysis, the authors determined that the rust preventive oil used in machining was causing dust to adhere in pockets.
3. The authors proposed using a lighter, less viscous oil at the machining stage to reduce adhesion. This solution eliminated manual cleaning and achieved the quality standard of less than 70mg particulate matter after machine cleaning alone.
An Overview of TRIZ Problem-Solving Methodology and its ApplicationsIOSR Journals
This document provides an overview of the TRIZ problem-solving methodology. It begins with an introduction to problem solving and lists common problem-solving steps. It then introduces TRIZ as a methodology developed in Russia to systematically solve problems by applying universal invention principles. The document describes the key components of TRIZ, including its laws of evolution, standard problem-solving approaches, and inventive principles. It compares the TRIZ methodology to the conventional structured problem-solving approach. The document then discusses various applications of TRIZ, including in computer-aided design and other engineering fields. It provides examples of how TRIZ tools like the contradiction matrix are used to generate solution principles for resolving contradictions in technical systems.
An Overview Of TRIZ Problem-Solving Methodology And Its ApplicationsJoaquin Hamad
This document provides an overview of the TRIZ problem-solving methodology. It discusses how TRIZ was developed in the former USSR based on analyzing patterns in inventions and patents. The key findings were that problems and solutions repeatedly occurred across industries, technical evolution followed patterns, and innovations used effects outside their fields. TRIZ aims to make the problem-solving process more efficient and effective by applying its principles to conventional structured methodologies. The document outlines the TRIZ problem-solving methodology and its four main components: laws of technological evolution, standard approaches to problems, the ARIZ algorithm, and a knowledge base. It also discusses applications of TRIZ in engineering and non-technical fields to improve products and systems.
Reverse Engineering for Documenting Software Architectures, a Literature ReviewEditor IJCATR
Recently, much research in software engineering focused on reverse engineering of software systems which has become one
of the major engineering trends for software evolution. The objective of this survey paper is to provide a literature review on the
existing reverse engineering methodologies and approaches for documenting the architecture of software systems. The survey process
was based on selecting the most common approaches that form the current state of the art in documenting software architectures. We
discuss the limitations of these approaches and highlight the main directions for future research and describe specific open issues for
research.
Lean thinking literature review and suggestions for future researchWorld-Academic Journal
The research provides a literature overview from a timespan of more than 60 years with articles historically and thematically organized about the application of “Lean thinking” (LT) concept and the main research findings through different industries. Lean thinking is an important but yet still under researched aspect of strategic management. By collecting research records from ISI web of knowledge naming directly the lean thinking issue; 34 Web of science records, 10 Medline records and 2 Chinese citation database records were found. Results show that the main focus areas on lean thinking researches are mainly applied in health care industry (with the 48% of the collected records) followed by manufacturing industry (17%), construction (10%), product development (7%), training and education (7%) and supply chain (2%). Other industries (9%) are also starting to apply lean thinking philosophy according to the particularities of their domain. We find research gaps and provide directions for further investigation.
3D printing technology for medical applications.pdfRamesh S P Ramesh
This document summarizes 3D printing technology methods, biomedical applications, future opportunities, and trends. It discusses how 3D printing works by adding layers of material to create 3D objects from digital designs. The document outlines various 3D printing methods and materials used. It describes applications of 3D printing in biomedical fields like surgery, medical devices, tissue engineering, and organ printing. The document concludes by discussing expected future developments and trends in using 3D printing for more biomedical applications.
An Engineering-to-Biology Thesaurus for Engineering Design.pdfNaomi Hansen
This document presents an engineering-to-biology thesaurus that aims to help engineers leverage biological information during the design process by providing synonymous biological terms mapped to engineering function and flow terminology. The thesaurus integrates terms from research at Oregon State University, the Indian Institute of Science, and the University of Toronto. Biological terms in the thesaurus correspond to terms in the Functional Basis lexicon, an established set of engineering function and flow terms. The thesaurus is intended to ease the use of biological knowledge for engineers without extensive biological backgrounds. An example application of comprehension and functional modeling using the thesaurus is also presented.
This document provides an overview of how TRIZ (Theory of Inventive Problem Solving) and TRM (Technology Road Mapping) can be integrated based on previous literature. It describes the understanding of TRIZ and TRM, including their individual strengths. Three modes of integration are proposed: 1) Applying TRIZ concepts to enhance the TRM process, 2) Applying TRM concepts to enhance the TRIZ innovation process, and 3) Applying TRIZ methodology to link successive roadmapping processes. Previous efforts that focus on enhancement of TRM with TRIZ techniques are also discussed.
Technology Management - A Complex Adaptive Systems ApproachIan McCarthy
This document discusses using a complex adaptive systems approach and fitness landscape theory to understand technology management. It presents a model called the strategy configuration chain that illustrates how organizations classify, select, adopt and exploit technologies through four linked tasks to develop capabilities and a technological configuration. The document also introduces an NK model that can represent an organization's technology strategy as a string of bits and calculate a fitness value for different strategic configurations based on their potential for survival and competitiveness. This provides a way to visualize different strategic options and their relationships on a fitness landscape.
Engineering Ethics In Engineering
Engineering : Engineering And Ethics
The Importance Of Ethics In Engineering
Foundation Of Engineering Ethics And Values
Engineering Ethics Essay
Engineering Ethics
Ethics And Ethics Of Engineering Ethics
Ethics in Engineering Essay
Importance Of Ethics In Engineering
The Codes Of Ethics And Ethics In Engineering
Ethics in Technology Essay
This document discusses a nursing homework assignment that involves analyzing a healthcare information technology (HIT) project. It describes a hypothetical example of a nurse leader proposing a new alarm and monitoring system for a children's hospital wing that was initially rejected due to budget constraints. After a child was abducted, the new system was approved. The key takeaway is the importance of getting stakeholder and decision maker support for HIT projects. Students are asked to discuss a real HIT project from their organization and how stakeholders helped move it forward.
DEA-Based Benchmarking Models In Supply Chain Management: An Application-Orie...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/data-envelopment-analysis/
Data Envelopment Analysis (DEA) is a mathematical methodology for benchmarking a group of entities in a group. The inputs of a DEA model are the resources that the entity consumes, and the outputs of the outputs are the desired outcomes generated by the entity, by using the inputs. DEA returns important benchmarking metrics, including efficiency score, reference set, and projections. While DEA has been extensively applied in supply chain management (SCM) as well as a diverse range of other fields, it is not clear what has been done in the literature in the past, especially given the domain, the model details, and the country of application. Also, it is not clear what would be an acceptable number of DMUs in comparison to existing research. This paper follows a recipe-based approach, listing the main characteristics of the DEA models for supply chain management. This way, practitioners in the field can build their own models without having to perform detailed literature search. Further guidelines are also provided in the paper for practitioners, regarding the application of DEA in SCM benchmarking.
The document summarizes the Technology Acceptance Model (TAM) and Technology-Organization-Environment (TOE) framework for understanding technology adoption. TAM models how users come to accept new technologies based on perceived usefulness and ease of use. It is built on expectancy-value theory and the theory of reasoned action. TOE framework examines how three contexts - technological, organizational, and environmental - influence organizations' decisions to adopt innovations. The document provides details on the key constructs of each model and examples of how they have been applied to study different technologies and industries.
This document reviews and compares eight prominent models of user acceptance of information technology: the theory of reasoned action, technology acceptance model, motivational model, theory of planned behavior, combined TAM and TPB model, model of PC utilization, innovation diffusion theory, and social cognitive theory. It aims to empirically compare the models, formulate a unified model integrating elements of the eight models called UTAUT, and validate UTAUT using multiple data sets. The eight models are described and their constructs defined. Prior empirical comparisons of the models are discussed, noting limitations that the current study aims to address.
rsos.royalsocietypublishing.orgReviewCite this article .docxhealdkathaleen
rsos.royalsocietypublishing.org
Review
Cite this article: Calder M etal. 2018
Computational modelling for
decision-making: where, why, what, who and
how. R.Soc.opensci. 5: 172096.
http://dx.doi.org/10.1098/rsos.172096
Received: 6 December 2017
Accepted: 10 May 2018
Subject Category:
Computer science
Subject Areas:
computer modelling and
simulation/mathematical modelling
Keywords:
modelling, decision-making, data,
uncertainty, complexity, communication
Author for correspondence:
Muffy Calder
e-mail: [email protected]
Computational modelling
for decision-making: where,
why, what, who and how
Muffy Calder1, Claire Craig2, Dave Culley3, Richard de
Cani4, Christl A. Donnelly5, Rowan Douglas6, Bruce
Edmonds7, Jonathon Gascoigne6, Nigel Gilbert8,
Caroline Hargrove9, Derwen Hinds10, David C. Lane11,
Dervilla Mitchell4, Giles Pavey12, David Robertson13,
Bridget Rosewell14, Spencer Sherwin15, Mark
Walport16 and Alan Wilson17
1School of Computing Science, University of Glasgow, Glasgow, UK
2The Royal Society, London, UK
3Improbable, London, UK
4Arup, London, UK
5MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease
Epidemiology, Imperial College London, London, UK
6Willis Towers Watson, London, UK
7Centre for Policy Modelling, Manchester Metropolitan University, Manchester, UK
8Centre for Research in Social Simulation, University of Surrey, Guildford, UK
9McLaren Applied Technologies, Woking, UK
10National Cyber Security Centre, UK
11Henley Business School, University of Reading, Reading, UK
12Consultant, UK
13School of Informatics, University of Edinburgh, Edinburgh, UK
14Volterra Partners, London, UK
15Department of Aeronautics, Imperial College London, London, UK
16UK Research and Innovation, London, UK
17The Alan Turing Institute, London, UK
BE, 0000-0002-3903-2507
In order to deal with an increasingly complex world, we
need ever more sophisticated computational models that can
help us make decisions wisely and understand the potential
consequences of choices. But creating a model requires far
more than just raw data and technical skills: it requires a
2018 The Authors. Published by the Royal Society under the terms of the Creative Commons
Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted
use, provided the original author and source are credited.
http://crossmark.crossref.org/dialog/?doi=10.1098/rsos.172096&domain=pdf&date_stamp=2018-06-20
mailto:[email protected]
http://orcid.org/0000-0002-3903-2507
2
rsos.royalsocietypublishing.org
R.Soc.open
sci.5:172096
.................................................
close collaboration between model commissioners, developers, users and reviewers. Good modelling
requires its users and commissioners to understand more about the whole process, including the
different kinds of purpose a model can have and the different technical bases. This paper offers a
guide to the process of commissioning, developing and deploying mo ...
DESIGN, DEVELOPMENT & IMPLEMENTATION OF ONTOLOGICAL KNOWLEDGE BASED SYSTEM FO...IJDKP
This document summarizes an article that describes the design and development of an ontological knowledge-based system to support reconfigurable assembly lines in the automotive industry. The system uses an ontology to represent the relationships between products, processes, and resources. It aims to facilitate rapid reconfiguration of assembly lines in response to changing product requirements. The system is intended to help automotive companies address challenges like increasing competition, complex products and processes, and the need to adapt quickly to changes and new customer requirements.
The document discusses the need for a human-centered methodology called HCOME for developing and managing ontologies. HCOME aims to actively involve knowledge workers in all stages of ontology development and evolution to better support their work. It emphasizes empowering knowledge workers to shape their shared information spaces by managing formal conceptualizations as part of their daily activities. The paper presents scenarios illustrating the need for knowledge workers to update ontologies and capture new knowledge. It then introduces the HCOME methodology and HCONE environment for implementing HCOME to seamlessly integrate ontology engineering into knowledge workers' workflows.
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Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysisertekg
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The topic of this paper is the Alzheimer’s Disease (AD), with the goal being the analysis of risk factors and identifying tests that can help diagnose AD. While there exists multiple studies that analyze the factors that can help diagnose or predict AD, this is the first study that considers only non-image data, while using a multitude of techniques from machine learning and data mining. The applied methods include classification tree analysis, cluster analysis, data visualization, and classification analysis. All the analysis, except classification analysis, resulted in insights that eventually lead to the construction of a risk table for AD. The study contributes to the literature not only with new insights, but also by demonstrating a framework for analysis of such data. The insights obtained in this study can be used by individuals and health professionals to assess possible risks, and take preventive measures.
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/text-mining-with-rapidminer/
The goal of this chapter is to introduce the text mining capabilities of RAPIDMINER through a use case. The use case involves mining reviews for hotels at TripAdvisor.com, a popular web portal. We will be demonstrating basic text mining in RAPIDMINER using the text mining extension. We will present two different RAPIDMINER processes, namely Process01 andProcess02, which respectively describe how text mining can be combined with association mining and cluster modeling. While it is possible to construct each of these processes from scratch by inserting the appropriate operators into the process view, we will instead import these two processes readily from existing model files. Throughout the chapter, we will at times deliberately instruct the reader to take erroneous steps that result in undesired outcomes. We believe that this is a very realistic way of learning to use RAPIDMINER, since in practice, the modeling process frequently involves such steps that are later corrected.
Competitive Pattern-Based Strategies under Complexity: The Case of Turkish Ma...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/competitive-pattern-based-strategies-under-complexity-the-case-of-turkish-managers/
This paper aims to augment current Enterprise Architecture (EA) frameworks to become pattern-based. The main motivation behind pattern-based EA is the support for strategic decisions based on the patterns prioritized in a country or industry. Thus, to validate the need for pattern-based EA, it is essential to show how different patterns gain priority under different contexts, such as industries. To this end, this chapter also reveals the value of alternative managerial strategies across different industries and business functions in a specific market, namely Turkey. Value perceptions for alternative managerial strategies were collected via survey, and the values for strategies were analyzed through the rigorous application of statistical techniques. Then, evidence was searched and obtained from business literature that support or refute the statistically-supported hypothesis. The results obtained through statistical analysis are typically confirmed with reports of real world cases in the business literature. Results suggest that Turkish firms differ significantly in the way they value different managerial strategies. There also exist differences based on industries and business functions. Our study provides guidelines to managers in Turkey, an emerging country, on which strategies are valued most in their industries. This way, managers can have a better understanding of their competitors and business environment, and can develop the appropriate pattern-based EA to cope with complexity and succeed in the market.
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/a-tutorial-on-crossdocking/
In crossdocking, the inbound materials coming in trucks to the crossdock facility are directed to outbound doors and are directly loaded into trucks that will perform shipment, or are staged for a very brief time period before loading. Crossdocking has a great potential to bring savings in logistics: For example, most of the logistics success of Wal-Mart, the world’s leading retailer, is attributed to crossdocking.In this paper,the types of crossdocking are identified, the situations and industries where crossdocking is applicable are explained, prerequisites, advantages and drawbacks are listed, and implementation issues are discussed. Finally a case study that describes the crossdocking applications of a 3rd party logistics firm is presented.
Demonstrating Warehousing Concepts Through Interactive Animationsertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/demonstrating-warehousing-concepts-through-interactive-animations/
In this paper, we report development of interactive computer animations to demonstrate warehousing concepts, providing a virtual environment for learning. Almost every company, regardless of its industry, holds inventory of goods in its warehouse(s) to respond to customer demand promptly, to coordinate supply and demand, to realize economies of scale in manufacturing or processing, to add value to its products and to reduce response time. Design, analysis, and improvement of warehouse operations can yield significant savings for a company. Warehousing science can be considered as an important field within the industrial engineering discipline. However, there is very little educational material (including web based media), and only a handful of books available in this field. We believe that the animations that we developed will significantly contribute to the understanding of warehousing concepts, and enable tomorrow’s practitioners to grasp the fundamentals of managing warehouses.
A Framework for Visualizing Association Mining Resultsertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/a-framework-for-visualizing-association-mining-results/
Association mining is one of the most used data mining techniques due to interpretable and actionable results. In this study we pro-pose a framework to visualize the association mining results, speci¯cally frequent itemsets and association rules, as graphs. We demonstrate the applicability and usefulness of our approach through a Market Basket Analysis (MBA) case study where we visually explore the data mining results for a supermarket data set. In this case study we derive several
interesting insights regarding the relationships among the items and sug-gest how they can be used as basis for decision making in retailing.
Application of the Cutting Stock Problem to a Construction Company: A Case Studyertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/application-of-the-cutting-stock-problem-to-a-construction-company-a-case-study/
This paper presents an application of the well-known cutting stock problem to a construction firm. The goal of the 1Dimensional (1D) cutting stock problem is to cut the bars of desired lengths in required quantities from longer bars of given length. The company for which we carried out this study encounters 1D cutting stock problem in cutting steel bars (reinforcement bars) for its construction projects. We have developed several solution approaches to solving the company’s problem: Building and solving an integer programming (IP) model in a modeling environment, developing our own software that uses a mixed integer programming (MIP) software library, and testing some of the commercial software packages available on the internet. In this paper, we summarize our experiences with all the three approaches. We also present a benchmark of existing commercial software packages, and some critical insights. Finally, we suggest a visual approach for increasing performance in solving the cutting stock problem and demonstrate the applicability of this approach using the company’s data on two construction projects.
Benchmarking The Turkish Apparel Retail Industry Through Data Envelopment Ana...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/benchmarking-the-turkish-apparel-retail-industry-through-data-envelopment-analysis-dea-and-data-visualization/
This paper presents a benchmarking study of the Turkish apparel retailing industry. We have applied the Data Envelopment Analysis (DEA) methodology to determine the efficiencies of the companies in the industry. In the DEA model the number of stores, number of corners, total sales area and number of employees were included as inputs and annual sales revenue was included as the output. The efficiency scores obtained through DEA were visualized for gaining insights about the industry and revealing guidelines that can aid in strategic decision making.
This paper discusses fundamental issues in dairy logistics in a tutorial format. We summarize findings of more than twenty student groups who carried out independent literature surveys and interviewed professionals in the industry. The critical issues in carrying out dairy products logistics, the logistics strategies that are employed by dairy producers in the world and some newly introduced products in the industry and in what ways the introduction of these new products changes the logistics operations are pointed out. The importance of hygiene, cooling, time, humidity, cost, distance, flexibility and meeting the demand is emphasized under the subtitle of critical issues. Except those critical issues, there are some others like short shelf life, quality, emulsion, pasteurization, UHT which depend on the characteristics of the milk and milk products. Logistics strategies in dairy industry are studied by dividing it into two subtitles: the ones that are used in the world and the ones in Turkey. A benchmarking between Turkey and the world is also included at the end. As the variety of milk and milk products increase day by day, the new ingredients of new products also affects the transportation plans. Those impacts are also discussed as a part of our paper. Some descriptive drawings and figures are also embodied. Throughout this paper, only the production, warehousing and transportation of milk, cheese, yoghurt, and similar dairy products are discussed. Ice-cream especially is set out of the scope as it completely differs from actual dairy products as milk, cheese and yoghurt in the means of production and distribution.
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/a-taxonomy-of-logistics-innovations/
In this paper we present a taxonomy of supply chain and logistics innovations, which is based on an extensive literature survey. Our primary goal is to provide guidelines for choosing the most appropriate innovations for a company, such that the company can outrun its competitors. We investigate the factors, both internal and external to the company, that determine the applicability and effectiveness of the listed innovations. We support our suggestions with real world cases reported in literature.
Innovation in Product Form And Function: Customer Perception Of Their Valueertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/innovation-in-product-form-and-function-customer-perception-of-their-value/
The goal of product design is to obtain the maximum effect with minimum cost in functionality and aesthetic beauty. Consumers are attracted to the designs that reflect their use behaviors and psychological responses more than they are to the simple visual representations. When product functions and qualities are similar across products, customers make their purchasing decision upon aesthetic form. Form presents a significant competitive factor that improves the value of a product. Overall, the purpose of this study is to examine the most important product design factors that affect the market share trends of mobile phone companies. Study uses product characteristics for 1,028 mobile phones released between 2003 and 2008 as a case study. The multiple linear regression analysis is used to select highly correlated variables that influence the market share, and Mallow's Cp method is used to determine the best-fitting model. The Partial Regression Coefficients are used to evaluate the relative importance of design criteria. The nine mobile phone design features that affect the market share were identified, and the block form style is determined as the most important design factor. Using these approaches, this study demonstrates how investments should be directed in the next mobile phone design process.
Developing Competitive Strategies in Higher Education through Visual Data Miningertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/visual-data-mining-for-developing-competitive-strategies-in-higher-education/
Information visualization is the growing field of computer science that aims at visually mining data for knowledge discovery. In this paper, a data mining framework and a novel information visualization scheme is developed and applied to the domain of higher education. The presented framework consists of three main types of visual data analysis: Discovering general insights, carrying out competitive benchmarking, and planning for High School Relationship Management (HSRM). In this paper the framework and the square tiles visualization scheme are described and an application at a private university in Turkey with the goal of attracting bright-est students is demonstrated.
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B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
Discover timeless style with the 2022 Vintage Roman Numerals Men's Ring. Crafted from premium stainless steel, this 6mm wide ring embodies elegance and durability. Perfect as a gift, it seamlessly blends classic Roman numeral detailing with modern sophistication, making it an ideal accessory for any occasion.
https://rb.gy/usj1a2
Structural Design Process: Step-by-Step Guide for BuildingsChandresh Chudasama
The structural design process is explained: Follow our step-by-step guide to understand building design intricacies and ensure structural integrity. Learn how to build wonderful buildings with the help of our detailed information. Learn how to create structures with durability and reliability and also gain insights on ways of managing structures.
Top mailing list providers in the USA.pptxJeremyPeirce1
Discover the top mailing list providers in the USA, offering targeted lists, segmentation, and analytics to optimize your marketing campaigns and drive engagement.
How to Implement a Real Estate CRM SoftwareSalesTown
To implement a CRM for real estate, set clear goals, choose a CRM with key real estate features, and customize it to your needs. Migrate your data, train your team, and use automation to save time. Monitor performance, ensure data security, and use the CRM to enhance marketing. Regularly check its effectiveness to improve your business.
Anny Serafina Love - Letter of Recommendation by Kellen Harkins, MS.AnnySerafinaLove
This letter, written by Kellen Harkins, Course Director at Full Sail University, commends Anny Love's exemplary performance in the Video Sharing Platforms class. It highlights her dedication, willingness to challenge herself, and exceptional skills in production, editing, and marketing across various video platforms like YouTube, TikTok, and Instagram.
Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
Introduction
The global retail industry has weathered numerous storms, with the financial crisis of 2008 serving as a poignant reminder of the sector's resilience and adaptability. However, as we navigate the complex landscape of 2024, retailers face a unique set of challenges that demand innovative strategies and a fundamental shift in mindset. This white paper contrasts the impact of the 2008 recession on the retail sector with the current headwinds retailers are grappling with, while offering a comprehensive roadmap for success in this new paradigm.
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Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
The APCO Geopolitical Radar - Q3 2024 The Global Operating Environment for Bu...APCO
The Radar reflects input from APCO’s teams located around the world. It distils a host of interconnected events and trends into insights to inform operational and strategic decisions. Issues covered in this edition include:
Brian Fitzsimmons on the Business Strategy and Content Flywheel of Barstool S...Neil Horowitz
On episode 272 of the Digital and Social Media Sports Podcast, Neil chatted with Brian Fitzsimmons, Director of Licensing and Business Development for Barstool Sports.
What follows is a collection of snippets from the podcast. To hear the full interview and more, check out the podcast on all podcast platforms and at www.dsmsports.net