Free Download Creating and Using a Shingo-Style Process Map: A quicker path for finding waste and eliminating process problemsBy Peter C Gaa
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Creating and Using a Shingo-Style Process Map: A quicker path for finding waste and eliminating process problemsBy Peter C Gaa
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Process maps have been a critical part of improvement efforts for decades. Shingo-style process maps are one of the least-used but most valuable improvement tools. They have many advantages over other process mapping approaches: • They can be used on any type of process in any work setting: offices, factories, retail shops, hospitals, schools, labs, etc. • They require little or no data. You just need to know the flow from input to output. • They are effective at showing all the moving parts in a process—information, materials, machines, and people—plus where and how variation gets created. • They allow you to more quickly pick out the three main targets for improvement—waste (especially hidden waste), inconsistencies, and unfairness. And they help you uncover the root causes of these problems quickly. • They can be easily linked to specific changes that will eliminate the identified problems, including all the classic Toyota Production System solutions (work standardization, 1-piece flow, mistake proofing, etc.). • Because of their unique format, a completed Shingo-style process map of an improved process can easily become part of a standard operating procedure format. This book provides the how-to around Shingo-style process maps. You’ll learn how to create the map, what kinds of data or estimates to include, how to clearly mark problem areas, which calculations can help you understand process performance, and how to interpret the map to make quick improvements in your own processes.
- Sales Rank: #1630498 in Books
- Published on: 2015-09-05
- Original language: English
- Dimensions: 11.00" h x .34" w x 8.50" l,
- Binding: Paperback
- 142 pages
About the Author
Peter Gaa has helped global firms across many industries and government agencies improve their processes in the office and factory. He has led hundreds of kaizens using Shingo-style process mapping. He is a Master Black Belt in Lean Six Sigma (LSS) and a Lean Master. He has 34 years of experience conducting kaizens in pharmaceutical, chemical, plastics, banking, consumer products, software development, electronics, and automotive industries. He also improved military-type processes within the US Army and Navy in Kuwait, Afghanistan, and the United States of America. In past positions, Pete has led research, development, manufacturing, and quality departments in companies within the plastics, chemicals, and electronic industries in the United States of America and Japan. He has earned 18 US patents on new products and processes.
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Ebook Building Splunk Solutions (Second edition): Splunk Developer GuideBy Grigori Melnik, Dominic Betts, Matthew Tevenan, David Foster, Brian
Ebook Building Splunk Solutions (Second edition): Splunk Developer GuideBy Grigori Melnik, Dominic Betts, Matthew Tevenan, David Foster, Brian
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This guide follows a Splunk software engineering team on a journey to build solutions with partners, focusing on the real world use cases to showcase various technologies of the Splunk Developer Platform. Like a documentary, it captures our story from envisioning and user experience prototyping to development, packaging and multiple production deployments. It includes the diverse perspectives of developers and testers, administrators and product owners, security experts and release engineers. As on any real journey, we make mistakes, have arguments, and change our minds along the way. So in addition to showing you how best to do things, we highlight the pitfalls and issues that we encounter, and the solutions we find. The key element of this guidance, of course, is the code. We’ve made the code repos open, and recommend you study the source code of the reference apps and the associated tests. In fact, you can see and replay the code in motion, as it was developed. We encourage you to reuse and learn from it. The second edition is expanded with 10 new chapters, including 3 new ones in the Journey covering OAuth, alerting and high performance HTTP Event Collector. Additionally we include a new section - the Essentials where we've generalized the lessons learned from this Journey and other development projects into fundamental patterns and practices. We still cover the full spectrum of application development from getting data into Splunk Enterprise to packaging and distributing your app. Each topic combines design and implementation guidelines in a way that supports an iterative development process. These guidelines cover not only Splunk Enterprise operational and programming concepts that the application deals with directly, but also consider performance, quality, and maintenance issues in recommending particular approaches.
- Sales Rank: #843160 in Books
- Published on: 2015-10-15
- Original language: English
- Dimensions: 10.00" h x .80" w x 8.00" l,
- Binding: Paperback
- 340 pages
About the Author
Grigori Melnik is a Principal Product Manager at Splunk focusing on the Developer Platform. Formerly at Microsoft, he produced patterns & practices components and architectural guidance. Prior to that, he was a researcher and developer — long enough ago to remember the joy of programming in Fortran. He is an Associate Editor-in-Chief, IEEE Software magazine & an Adj Professor of Computer Science at the University of Calgary. He speaks around the world on the topics of operational & business intelligence, code reuse, cloud computing, agile methods, and software testing. He holds a PhD in Computer Science from the University of Calgary. Contact him at http://twitter.com/gmelnik
Dominic Betts is a Sr Content Developer at Microsoft and is based in the UK. He has a background in in software development, IT training, and content creation for developers, architects, and IT professionals. Previously, he has co-authored a number of books with the Microsoft patterns & practices team. His current area of interest is IoT.
Matthew Tevenan is a Sr Technical Writer at Splunk. He writes documentation for the Splunk Developer Platform, as well as for DB Connect & other Splunk software. Prior to that, he worked at Microsoft on products such as the Windows Client SDK, Windows Media SDK, and Internet Explorer. Matthew holds a MSc, Tech Communication from the University of Washington & a BA, French from the University of San Francisco.
David Foster is an experienced Splunk developer who has worked on several Splunk apps (Exchange, VMware, Twitter, Flurry) and on the Splunk platform itself (Splunk Web Framework, several SDKs). Beyond Splunk, David has been developing software over 20 years in a wide variety of languages and environments. Currently David is engaged with inspiring the next generation of grade schoolers to write their own computer programs.
Brian Schutz is a Sr Software Developer at Conducive Consulting. He holds a BSc Computer Science from the Texas State University.
Liying Jiang is a Software Engineer in the Splunk Seattle QA team. She has helped to ship Splunk 6 and various Splunk SDKs and apps. Before Splunk, Liying worked at Microsoft for seven years as a member of SQL Server, Office 365 billing & Commerce catalog teams.
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Ebook Download R Tutorial with Bayesian Statistics Using OpenBUGSBy Chi Yau
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R Tutorial with Bayesian Statistics Using OpenBUGSBy Chi Yau
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This text provides R tutorials on statistics, including hypothesis testing, ANOVA and linear regression. It fulfills popular demands by users of r-tutor.com for exercise solutions and offline access.
Part III of the text is about Bayesian statistics. It begins with closed analytic solutions and basic BUGS models for simple examples. Then it covers OpenBUGS for Bayesian ANOVA and regression analysis. Finally, it shows how to build more complex Bayesian models and demonstrates CODA for Markov Chain Monte Carlo (MCMC) convergence.
The last part of this text discusses advanced GPU computing in R using the RPUDPLUS package. Topics include hierarchical clustering, Kendall's tau, support vector machines and Bayesian classification. It illustrates the importance of High Performance Computing (HPC) in the future of statistics. The text concludes with a new section on hierarchical multinomial logit model for marketing research.
- Sales Rank: #184451 in eBooks
- Published on: 2013-09-17
- Released on: 2013-09-17
- Format: Kindle eBook
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