This chapter discusses statistical applications in quality and productivity management. It introduces concepts like Total Quality Management (TQM) and Six Sigma management. It explains that variation exists in all processes, which can be separated into common cause variation and special cause variation. Control charts are used to monitor processes and determine whether the process is in control or out of control. Specifically, it discusses p-charts used for attribute data to monitor the proportion of non-conforming items over time. An example is provided to demonstrate how to construct a p-chart and determine if a hotel room readiness process is in control.
Elementary Data Analysis with MS Excel_Day-5Redwan Ferdous
This event took place on 16th September 2020. This was arranged by EMK Center (Makerlab). The title was 'Elementary Data Analysis with MS Excel', where very basic data analysis with MS excel was discussed.
In Day-5, Hypothesis, Statistics, Regression Analysis, T-Test, Z-test, P-Test, ANOVA, Goal Seek, Pivot Chart, Dashboard, Slicer, Solver, Data Analysis Toolpak, and peripheral items were discussed.
Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more. It is useful in identifying important factors that will affect a dependent variable, and the nature of the relationship between each of the factors and the dependent variable. It can help an enterprise consider the impact of multiple independent predictors and variables on a dependent variable, and is beneficial for forecasting and predicting results.
Elementary Data Analysis with MS Excel_Day-5Redwan Ferdous
This event took place on 16th September 2020. This was arranged by EMK Center (Makerlab). The title was 'Elementary Data Analysis with MS Excel', where very basic data analysis with MS excel was discussed.
In Day-5, Hypothesis, Statistics, Regression Analysis, T-Test, Z-test, P-Test, ANOVA, Goal Seek, Pivot Chart, Dashboard, Slicer, Solver, Data Analysis Toolpak, and peripheral items were discussed.
Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more. It is useful in identifying important factors that will affect a dependent variable, and the nature of the relationship between each of the factors and the dependent variable. It can help an enterprise consider the impact of multiple independent predictors and variables on a dependent variable, and is beneficial for forecasting and predicting results.
ZENITH TECHNOLOGIES provides innovative, reliable and technically advanced process measurement, automation and MES solutions to the process, pharma/biotechnology, food and electronic sectors.
Developing the right solution requires a special mix of engineering and application expertise. Our team of experienced professionals delivers tangible results right through the project lifecycle.
beberapa bank menyediakan layanan perbankan yang namanya Bank Garansi. Bank Garansi dapat meningkatkan keyakinan Anda dalam mengambil projek dan sekaligus meminimalkan resiko kerugian. Bank Garansi adalah jaminan pembayaran yang diberikan kepada pihak penerima jaminan, apabila pihak yang dijamin tidak memenuhi kewajibannya.
“Segala bentuk penyajian dan promosi ide, barang atau jasa secara non-personal oleh suatu sponsor tertentu yang memerlukan pembayaran.” (Philip Kotler 2000:658)
Improving OHS & Productivity of RMG Industries By Analyzing Various KPIsKarina Islam
This ppt summarizes that how KPIs analysis improve productivity and OHS of RMG sectors. Appropriate indicators are first selected for KPI scoring then simulate the scores with the help of Adaptive Network-based Fuzzy Inference System (ANFIS) and finally illustrated how KPIs impacts on overall productivity
Predictive Analysis - Using Insight-informed Data to Determine Factors Drivin...ThinkInnovation
Primary Goals
1. To determine what factors are driving the lead conversion process.
2. To Identify which leads are more likely to convert to paid customers.
Data Description
3. Dataset consists of 4613 rows and 15 columns.
Modelling Strategies
4. Plan
4.1 Perform Dummy Encoding
4.2 List Variables for Modeling
4.3 Identify metric of interest to judge model's performance
5. Build
5.1 Build Logistic Regression Model (Preliminary Model)
5.2 Observe the metrics of the model
6. Improve
6.1 Identify the significant variables
6.2 Rebuild model
6.3 Observe the metrics of the models
7. Decide
7.1 Compare the results of Logistic Regression model (Base model) and Decision Tree Model
7.2 Conclude on best model for this project
8. Recommend
8.1 Determine factors driving the lead conversion process
8.2 Recommend what that may help to identify which leads are more likely to convert to paying customers
Author: Anthony Mok
Date: 16 Nov 2023
Email: xxiaohao@yahoo.com
Good practice standardizes parameters and metrics across the entire operation to enable meaningful manufacturing decision support and continuous improvement. Frequently manufacturing and business parameters are combined into Key Performance Indicators (KPI) to simplify monitoring more complex functions. One commonly deployed KPI is Overall Equipment Effectiveness (OEE) which combines measures of availability, throughput and quality.
There exists tremendous value potential for companies coupling OEE with SPC, and making it part of manufacturing-decision support. It sets the company on the path to state-of-the-art manufacturing process management by enabling them to:
Apply SPC to automated OEE solutions – looking at single values of a KPI adds little to one’s process management capability, but using control charts and process capability analysis will enable developing world-class manufacturing;
Rapidly determine where improvement opportunities exist;
Focus on information, not data – data is the raw material; information provides the decision support that will improve performance levels.
ImportantSummary discussion of chapter not article or sectio.docxbradburgess22840
Important
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Write as a discussion of this part of the chapter with another student
Please post I found the material interesting, or what do you think
I may ask to change some areas at later date
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The Tools of Quality
When we introduce a particular method of doing a job, it is natural to consider whether the method is appropriate or not. The decision is usually based on past results and experience, or perhaps on conventional methods. Procedures will be most effective if a proper evaluation is made, and on-the-job data are essential for making a proper evaluation.
KAORU ISHIKAWA, Quality Tools Inventor 1
1Ishikawa, K., “Guide to Quality Control,” Asia Productivity Organization, Tokyo, Japan, 1985.
Quality improvement in manufacturing or services, to be effective, should address the needs of the system as a whole. In this book we have attempted to address quality management from an integrative perspective. This perspective has encompassed the many functional areas of business, including supply chain management, marketing, accounting, human resources, operations, engineering, and strategy. None of these fields of endeavor operate in a vacuum. They are all interrelated and interdependent.
Improving the System
To be successful, a business or organization must balance the needs of these different functional areas around a coherent business vision and strategy. The objective of the system is to satisfy the customer. Customer satisfaction means higher customer retention, which leads to improved profitability.
A quality system (Figure 10-1) uses the business model with a focus on the customer and includes the dynamics of continual improvement, change, planning, and renewal. Continual improvement is necessary for a company to learn to grow. Companies that are unable to adapt find themselves with stagnant cultures and labor forces. Many managers, on discovering that their organization has reached this point, believe they must resort to draconian measures such as layoffs and organizational reengineering to achieve change. If they had pursued continual improvement and learning in the first place, they might not have reached this juncture.
Figure 10-1 Quality System Model
This quality system is not just a series of variables and relationships. It is an interconnect.
This presentation on batch process analytics was given at Emerson Exchange, 2010. A overview of batch data analytics is presented and information provided on a field trail of on-line batch data analytics at the Lubrizol, Rouen, France plant.
Suatu integrasi dari prinsip teori-teori inovasi dikemukakan oleh Edwin Locke yang meliputi 6 langkah : Needs, Valiees, Goals, Performance, Rewards, Satisfaction
Pengawasan merupakan salah satu fungsi dalam manajemen suatu organisasi. Dimana memiliki arti suatu proses mengawasi dan mengevaluasi suatu kegiatan. Suatu Pengawasan dikatakan penting karena Tanpa adanya pengawasan yang baik tentunya akan menghasilkan tujuan yang kurang memuaskan, baik bagi organisasinya itu sendiri maupun bagi para pekerjanya
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.