Gorsel Veri Madenciligi’nde bir Vaka Calısması: OSS Verilerinin Analizi
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Ertek, G., Ozdol, F. and Degirmencioglu, B., “Gorsel Veri Madenciligi’nde bir Vaka Calısması: OSS Verilerinin Analizi”, YA/EM 2005, Istanbul, Turkey.
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Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/a-framework-for-automated-association-mining-over-multiple-databases/
Literature on association mining, the data mining methodology that investigates associations between items, has primarily focused on efficiently mining larger databases. The motivation for association mining is to use the rules obtained from historical data to influence future transactions. However, associations in transactional processes change significantly over time, implying that rules extracted for a given time interval may not be applicable for a later time interval. Hence, an analysis framework is necessary to identify how associations change over time. This paper presents such a framework, reports the implementation of the framework as a tool, and demonstrates the applicability of and the necessity for the framework through a case study in the domain of finance.
A Taxonomy Of Logistics Innovations
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.
Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/risk-factors-and-identifiers-for-alzheimers-disease-a-data-mining-analysis/
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.
Competitiveness of Top 100 U.S. Universities: A Benchmark Study Using Data En...
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/benchmark-study-using-data-envelopment-analysis/
This study presents a comprehensive benchmarking study of the top 100 U.S. Universities. The methodologies used to come up with insights into the domain are Data Envelopment Analysis (DEA) and information visualization. Various approaches to evaluating academic institutions have appeared in the literature, including a DEA literature dealing with the ranking of universities. Our study contributes to this literature by the extensive incorporation of information visualization and subsequently the discovery of new insights.
Industrial Benchmarking through Information Visualization and Data Envelopmen...
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/industrial-benchmarking-through-information-visualization-and-data-envelopment-analysis-a-new-framework/
We present a benchmarking study on the companies in the Turkish food industry based on their financial data. Our aim is to develop a comprehensive benchmarking framework using Data Envelopment Analysis (DEA) and information visualization. Besides DEA, a traditional tool for financial benchmarking based on financial ratios is also incorporated. The consistency/inconsistency between the two methodologies is investigated using information visualization tools. In addition, k-means clustering, a fundamental method from machine learning, is applied to understand the relationship between k-means clustering and DEA.
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Application Of Local Search Methods For Solving A Quadratic Assignment Probl...
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.
Depolama Sistemleri
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.
Teaching Warehousing Concepts through Interactive Animations and 3-D Models
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
Simulation Modeling For Quality And Productivity In Steel Cord Manufacturing
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.
Encapsulating And Representing The Knowledge On The Evolution Of An Engineeri...
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.
Visual and analytical mining of transactions data for production planning f...
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.
Optimizing Waste Collection In An Organized Industrial Region: A Case Study
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.
Rule-based expert systems for supporting university students
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.
Compiere kurulumu
Hüseyin Köroğlu, Alarko Alsim
Tuğçe Gizem Martağan, Sabancı Üniversitesi
Gürdal Ertek, Yrd. Doç. Dr., Sabancı Üniverstiesi
Design Requirements For a Tendon Rehabilitation Robot: Results From a Survey ...
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.
Text Mining with RapidMiner
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.
An Open Source Java Code For Visualizing Supply Chain Problems
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.
Competitive Pattern-Based Strategies under Complexity: The Case of Turkish Ma...
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.
Supplier and Buyer Driven Channels in a Two-Stage Supply Chain
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.
Modelling the supply chain perception gaps
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.
Optimizing the electric charge station network of EŞARJ
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/optimizing-the-electric-charge-station-network-of-esarj/
In this study, we adopt the classic capacitated p-median location model for the solution of a network design problem, in the domain of electric charge station network design, for a leading company in Turkey. Our model encompasses the location preferences of the company managers as preference scores incorporated into the objective function. Our model also incorporates the capacity concerns of the managers through constraints on maximum number of districts and maximum population that can be served from a location. The model optimally selects the new station locations and the visualization of model results provides additional insights.
Re-mining Positive and Negative Association Mining Results
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/re-mining-positive-and-negative-association-mining-results/
Positive and negative association mining are well-known and extensively studied data mining techniques to analyze market basket data. Efficient algorithms exist to find both types of association, sepa-rately or simultaneously. Association mining is performed by operating on the transaction data. Despite being an integral part of the transaction data, the pricing and time information has not been incorporated into market basket analysis so far, and additional attributes have been han-dled using quantitative association mining. In this paper, a new approach is proposed to incorporate price, time and domain related attributes into data mining by re-mining the association mining results. The underlying factors behind positive and negative relationships, as indicated by the as-sociation rules, are characterized and described through the second data mining stagere-mining. The applicability of the methodology is demon-strated by analyzing data coming from apparel retailing industry, where price markdown is an essential tool for promoting sales and generating increased revenue.
A Framework for Automated Association Mining Over Multiple Databases
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/a-framework-for-automated-association-mining-over-multiple-databases/
Literature on association mining, the data mining methodology that investigates associations between items, has primarily focused on efficiently mining larger databases. The motivation for association mining is to use the rules obtained from historical data to influence future transactions. However, associations in transactional processes change significantly over time, implying that rules extracted for a given time interval may not be applicable for a later time interval. Hence, an analysis framework is necessary to identify how associations change over time. This paper presents such a framework, reports the implementation of the framework as a tool, and demonstrates the applicability of and the necessity for the framework through a case study in the domain of finance.
A Taxonomy Of Logistics Innovations
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.
Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/risk-factors-and-identifiers-for-alzheimers-disease-a-data-mining-analysis/
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.
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Simulation Modeling For Quality And Productivity In Steel Cord Manufacturing
Simulation Modeling For Quality And Productivity In Steel Cord Manufacturing
Encapsulating And Representing The Knowledge On The Evolution Of An Engineeri...
Encapsulating And Representing The Knowledge On The Evolution Of An Engineeri...
Visual and analytical mining of transactions data for production planning f...
Visual and analytical mining of transactions data for production planning f...
Optimizing Waste Collection In An Organized Industrial Region: A Case Study
Optimizing Waste Collection In An Organized Industrial Region: A Case Study
Rule-based expert systems for supporting university students
Rule-based expert systems for supporting university students
Design Requirements For a Tendon Rehabilitation Robot: Results From a Survey ...
Design Requirements For a Tendon Rehabilitation Robot: Results From a Survey ...
An Open Source Java Code For Visualizing Supply Chain Problems
An Open Source Java Code For Visualizing Supply Chain Problems
Competitive Pattern-Based Strategies under Complexity: The Case of Turkish Ma...
Competitive Pattern-Based Strategies under Complexity: The Case of Turkish Ma...
Supplier and Buyer Driven Channels in a Two-Stage Supply Chain
Supplier and Buyer Driven Channels in a Two-Stage Supply Chain
Optimizing the electric charge station network of EŞARJ
Optimizing the electric charge station network of EŞARJ
Re-mining Positive and Negative Association Mining Results
Re-mining Positive and Negative Association Mining Results
A Framework for Automated Association Mining Over Multiple Databases
A Framework for Automated Association Mining Over Multiple Databases
Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis
Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis
More from ertekg
Competitiveness of Top 100 U.S. Universities: A Benchmark Study Using Data En...
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/benchmark-study-using-data-envelopment-analysis/
This study presents a comprehensive benchmarking study of the top 100 U.S. Universities. The methodologies used to come up with insights into the domain are Data Envelopment Analysis (DEA) and information visualization. Various approaches to evaluating academic institutions have appeared in the literature, including a DEA literature dealing with the ranking of universities. Our study contributes to this literature by the extensive incorporation of information visualization and subsequently the discovery of new insights.
Industrial Benchmarking through Information Visualization and Data Envelopmen...
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/industrial-benchmarking-through-information-visualization-and-data-envelopment-analysis-a-new-framework/
We present a benchmarking study on the companies in the Turkish food industry based on their financial data. Our aim is to develop a comprehensive benchmarking framework using Data Envelopment Analysis (DEA) and information visualization. Besides DEA, a traditional tool for financial benchmarking based on financial ratios is also incorporated. The consistency/inconsistency between the two methodologies is investigated using information visualization tools. In addition, k-means clustering, a fundamental method from machine learning, is applied to understand the relationship between k-means clustering and DEA.
A Tutorial On Crossdocking
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 Animations
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 Results
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 Study
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...
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.
Dairy Logistics: A Tutorial
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.
Innovation in Product Form And Function: Customer Perception Of Their Value
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 Mining
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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Developing Competitive Strategies in Higher Education through Visual Data Mining
Gorsel Veri Madenciligi’nde bir Vaka Calısması: OSS Verilerinin Analizi
- 1. Görsel Veri Madenciliği’nde bir Vaka Çalışması: ÖSS Verilerinin Analizi Gürdal Ertek, Fethi M. Özdöl, Barış Değirmencioğlu Sabancı Üniversitesi Mühendislik ve Doğa Bilimleri Fakültesi Orhanlı, Tuzla, Istanbul, 34956 1
- 2. Sunum Planı • Veri Madenciliği ve Bilgi Görselleştirmesi • “Boyutlandırılabilir Simgeler” yaklaşımı • Literatür • Eniyileme Modeli • Yazılım Uygulaması • Vaka Çalışması: ÖSS Verilerinin Analizi • Gelecekteki Çalışmalar 2
- 3. • Günümüzde her sahada üretilen veri miktarı bilişim sistemlerinin gelişmesiyle birlikte katlanarak artmaktadır. • Geçmişte – Veri toplamak önemli miktarda vakit gerektiren bir çalışma iken • Günümüzde – Otomatik olarak toplanmakta olan verilerin incelenmesi daha çok önem kazanmaktadır. 3
- 4. Veri Madenciliği (Data Mining) • Temel hedef: – Üretilmekte olan verilerin anlaşılmasını, yorumlanmasını ve ilgili kuruma (iş dünyası, eğitim, askeriye gibi) faydalı çıkarımlar yapılmasını sağlamaktır. 4
- 5. Veri Madenciliği • Algoritma ağırlıklı matematiksel ve istatistiksel metodlar içeren çalışmalar oldukça geniş bir literatür oluşturmaktadırlar. • Ne yazık ki bu çalışmalar –özellikle iş dünyasında istenen uygulanma seviyesine ulaşmamıştır. • Bu metodların bir eksikliği sadece önceden belirlenebilecek tarzda öngörüler oluşturulmasıdır. • Bir başka eksikliği ise son kullanıcıların anlamasının imkansız olduğu karmaşık algoritmalar kullanıyor olmalarıdır. 5
- 6. Görsel Veri Madenciliği (Visual Data Mining) (Bilgi Görselleştirmesi) (Information Visualization) • Bilgisayar biliminin özellikle son 15 yılda önem kazanmış bir sahasıdır. • 1990 öncesinde verilerin grafiksel olarak incelenmesi dönük yapılan çalışmalar... • 1990 sonrasında – Bilgisayarların hafıza, bilgi işleme ve grafiksel ara birim (GUI) boyutunda gelişmeleri – Verilerin daha kolay toplanabilir hale gelmesi ile • daha da olgunlaşmış ve bugünkü seviyesine ulaşmıştır. 6
- 7. Görsel Veri Madenciliği • Amaç: – Özellikle çokboyutlu verilerin görsel olarak grafiklerle sunulması yoluyla • Eldeki verilerden bilgiye ulaşmak • Bu bilgilerde saklı duran önemli noktaları açığa çıkarmaktır. • Bu analiz sürecinde insan algılaması ve insanbilgisayar etkileşimi önem kazanmaktadır. 7
- 8. Görsel Veri Madenciliği • Verilerin görüntüsünü algılayan ve ilginç öngörüler bulmaya çalışan analist karmaşık algoritmaları anlamak zorunda değildir. • Kendisine sunulan görsel etkileşim imkanları ile dilediği grafikleri dilediği parametrelerle dinamik olarak çizdirerek görsel sorgular yapabilir. 8
- 9. Bu Sunumda... • Görsel Veri Madenciliği’nde sıkça rastlanan bir yaklaşımı, simge (ikon) bazlı görselleştirmeyi esas alarak geliştirilen bir görselleştirme yaklaşımı ve bunun gerçek bir veri üzerinde uygulaması sunulacaktır. 9
- 10. “Boyutlandırılabilir Simgeler” (Sizeable Icons) • Kategorik bir grup alan içeren ve sayısal bir ya da daha çok alan içeren veriler için uygulanabilmektir. 10
- 11. • Bu yaklaşımda kategorik değişkenin farklı değerlerinin her biri bir kutu (box) olarak gösterilmekte, • Her bir kutunun içi o değeri taşıyan elemanları simgeleyen renkli kare simgelerle (icons) doldurulmaktadır. • Kare simgelerin rengi sayısal bir değişkenin değerini göstermektedir. 11
- 12. Literatür • Keim (2002): Bilgi görselleştirmesi için sınıflandırma: – Görselleştirilecek veri tipi – Görselleştirme metodu – Etkileşim (interaction) ve çarpıtma (distortion) tekniği • Web Kaynakları http://iv.homeunix.org/ http://otal.umd.edu/Olive/ 12
- 13. Literatür: Simge Bazlı Görselleştirme (Iconbased Visualization) • Sun (2003): Üretim verilerinin görselleştirilmesi – Standart bir görsel tasarımın yan yana kutularda kullanılması • Beddow (1990): Gezegenlerin manyetik etkinliklerinin 13 boyutlu verisi • Hearst (1995): Arama terimlerinin dokümanlar içinde dağılımı • Ward (2002): Simge bazlı görselleştirme literatürünün taraması 13
- 14. Literatür: Boşluk Dolduran Görselleştirme (Spacefilling Visualization) • Mozaik gösterim (Mosaic display) (Spence, 2001, s2023, s4849) – Kutu boyutları her bir değere sahip kayıt sayısını gösterir. • Ağaçharitası (Treemap) (Johnson ve Shneiderman, 1991) – Hiyerarşik veriler tüm ekranı kaplayacak şekilde görüntülenebilir. • Piksel bazlı görselleştirme (Pixelbased visualization) (Keim, 2002) – Ekrandaki herbir piksel veritabanındaki bir kaydı görüntüleyebilir. Böylece 1 milyona yakın kayıt görüntülenebilir. 14
- 15. Literatür: İnsan Gruplarının Görselleştirilmesi • Bir insan grubunun gösterimi (Spence, 2001, s2023, s4849) • Sosyal bir ağ (social network) oluşturan bir insan grubunun gösterimi (Xiong ve Donath, 1999) • Hiyerarşik bir yapı gösteren bir insan grubunun gösterimi (Robertson vd., 1991) 15
- 16. • Her bir küme bir kutu olarak gösterilmekte... • Her bir eleman renkli bir simge olarak gösterilmektedir. • Kutular gruplandıran değişkenin (partitioning attribute) farklı değerlerini taşır. • Kare simgelerin rengi sayısal renklendiren değişkenin (coloring attribute) değerini gösterir. – Sarı: En büyük değer – Siyah: En küçük değer 16
- 17. (h) x = 4 s = 50 piksel 17
- 18. Eniyileme Modeli (Optimization Model) En önemli değişkenler: s : her bir simgenin kenar uzunluğu (h) x : her bir kutudaki yatay simge sayısı 18
- 19. Yazılım Uygulaması • Java programlama dili, • Eclipse Bütünleşik Geliştirme Ortamı ( http://www.eclipse.org ) kullanılmıştır. • Veriler bir MS Access dosyasında yer almakta, ODBC bağlantısı ile SQL sorguları yapılmaktadır. • Kullanıcı Java, SQL ya da MS Access bilmeden grafikler çizdirebilmektedir. 19
- 20. Vaka Çalışması • 2004 Öğrenci Seçme Sınavı’nda (ÖSS) EA ve SAY ilk 5000’e giren 5965 öğrencinin verileri: – Lise İsmi – Lise Tipi – Yerleştirildiği Üniversite – Yerleştirildiği Bölüm – Sayısal Puanı – Eşit Ağırlıklı Puanı 20
- 22. Lise Kıyaslaması (Benchmarking) 22
- 24. Gelecekteki Çalışmalar • Şu anda yapılamayan analizleri yapmaya olanak tanıyacak gösterimlerin geliştirilmesi ve uygulanması – Örn: ÖSS verilerinde yıldan yıla değişimlerin analizi • Kullanıcının etkileşimli sorgular yapabilmesi 24
- 25. Teşekkürler... Sorular? 25