Value-added Management with Design of Experiments


Book Description

This book is about survival. It is about survival in a world that is changing. It is about survival in an occupation - management - that is almost unrecognizable from the viewpoint of only a few years ago, and one that will change even more rapidly in the future. It is about the ultimate survival tool: that of making oneself useful. Managers can be useful, but maybe not in the traditional sense. This book is written for managers who want to be useful by adding value to society in the form of useful products and services. It is not written for those who view personal advancement or wealth as their primary goal. Former Speaker of the US House of Representatives Thomas P. O'Neill was fond of saying 'All politics is local. ' I would like to appropriate that statement and paraphrase it for this book as 'All management is local. ' By that I mean that ultimately, after the global financing and market strategies are in place, and after the top-level missions and purpose of the organization are stated, the value-added manager must know what to do on Monday morning to get the product into the hands of the customer as quickly and efficiently as possible, and to be sure that the customer is successful in using the product. Increasingly, the top-level executive who creates the grand vision is also the manager who must implement it.




Reliability Improvement with Design of Experiment


Book Description

A guide to implementing and operating a practical reliability program using carefully designed experiments to provide information quickly, efficiently and cost effectively. It emphasizes real world solutions to daily problems. The second edition contains a special expanded section demonstrating how to combine accelerated testing with design of experiments for immediate improvement.




Reliability Improvement with Design of Experiment, Second Edition,


Book Description

A guide to implementing and operating a practical reliability program using carefully designed experiments to provide information quickly, efficiently and cost effectively. It emphasizes real world solutions to daily problems. The second edition contains a special expanded section demonstrating how to combine accelerated testing with design of experiments for immediate improvement.




Statistics for Engineers


Book Description

This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting tight tolerances without regard to the statistical aspect of process data is demonstrated. This book offers a solution, bridging the gap between statistical science and engineering technology to ensure that the engineers of today are better equipped to serve the manufacturing industry. Inside, you will find coverage on: the nature of variability, describing the use of formulae to pin down sources of variation; engineering design, research and development, demonstrating the methods that help prevent costly mistakes in the early stages of a new product; production, discussing the use of control charts, and; management and training, including directing and controlling the quality function. The Engineering section of the index identifies the role of engineering technology in the service of industrial quality management. The Statistics section identifies points in the text where statistical terminology is used in an explanatory context. Engineers working on the design and manufacturing of new products find this book invaluable as it develops a statistical method by which they can anticipate and resolve quality problems before launching into production. This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products. Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent.




Optimal Design of Experiments


Book Description

"This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University "It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities? While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.




Design of Experiments in Production Engineering


Book Description

This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.




Quality Function Deployment and Systems Supportability


Book Description

This book not only presents the overall development of quality function deployment (QFD) and what it has been used for to date but a new product support orientation by which it can be employed. It is product and service “system” focused and presents how blending the processes and elements of supportability and analysis into a QFD-modeled methodology can achieve optimal cost savings and performance efficiency and effectiveness. In addition, a working model is provided that will assist those that elect to use such an approach to current/new product and/or service development. QFD is widely spreading throughout the world because of its outstanding usefulness. It is aimed to fulfill the customer’s expectation of a product or service design. Organizations of all sizes are using it to (1) save product and service design and development time, (2) focus on how the product or service might satisfy the customer and (3) improve communication at all levels of an organization during the development process. Based on these three reasons, today's traditional QFD can be divided into three branches and analyzed. First, QFD can be implemented effectively for developing new products and designs by establishing the linkage between design stages through the manufacturing environment. However, research has found that traditional QFD is quite weak in implementing modifications to existing product and service design during its predicted lifecycle. Second, most research to this point has been squarely focused on the “voice of the customer” for prioritizing customer needs. While certainly needed, the “voice of the system” that is being used to produce the product/service and how they operate during its intended life cycle has been given less attention. Third, QFD is often viewed as overly labor-intensive and thus costly, and, because of its team-based development logic, manual in nature by those involved during its development and implementation. Research has shown that life cycle sustainment planning and support for current or proposed products and/or services requires a seamless and balanced life cycle support methodology. To achieve this type of support, twelve functional elements have been identified that form the product support infrastructure. A new approach, one that views product support as an integrative activity where all twelve product support elements are assessed over the entire product and/or service life cycle is being deployed. With this deployment comes a need to ensure Key Performance Parameters (KPPs) are achieved and functional alignment obtained by balancing supportability element cost and provisioning throughout the entire product and/or service lifecycle, not just during the development stage, and to view the system as the “customer” and thus listen to the “Voice of the System” when assessing supportability requirements. Quality Function Deployment (QFD) is such a tool. This book contains four sections. Section 1 provides an initial overview of QFD origins, and history and highlights some of its use today. It addresses how QFD fits within the organization, increasing revenue, and reducing cost. It outlines a step-by-step strategy for successfully deploying QFD within the organization. Section 2 examines the evolving product and/or service requirement, creating the design solution using QFD, assessing supportability characteristics using QFD, and performing functional supportability analysis using QFD. Section 3 provides a guide for developing the life cycle supportability solution using QFD methodology on an ongoing basis, and managing processes throughout the systems lifecycle. Section 4 addresses using QFD in an imperfect world and will provide insight into how to use QFD beyond the standard “house of quality” concept.




Managing Service Delivery Processes


Book Description

The quest for value drives customer behavior in the services marketplace. This book focuses on complex service processes, and is written for professionals, quasi-professionals, and technical workers laboring in all spheres, from law to medicine, and accounting to engineering. It draws its theory and examples from these professional services and many more, with hands-on end-of-chapter exercises on all topics. A framework is presented for understanding how a set of shared fundamental beliefs drives the best-in-class professional service organizations in their learning, which is the source of sustained competitive advantage. Products and processes can be imitated or copied, but learning faster than your competition cannot. Processes create the benefits customers want by delivering the service, or by making this delivery possible in one way or another. The notions, methods, and tools presented in this book present readers with a perspective on their work they most likely never envisaged, and which will lead to a marked improvement in their effectiveness.




Experimental Design


Book Description

This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.




Design of Experiments With Minitab


Book Description

Most of the classic DOE books were written before DOE software was generally available, so the technical level that they assumed was that of the engineer or scientist who had to write his or her own analysis software. In this practical introduction to DOE, guided by the capabilities of the common software packages, Paul Mathews presents the basic types and methods of designed experiments appropriate for engineers, scientists, quality engineers, and Six Sigma Black Belts and Master Black Belts. Although instructions in the use of Minitab are detailed enough to provide effective guidance to a new Minitab user, the book is still general enough to be very helpful to users of other DOE software packages. Every chapter contains many examples with detailed solutions including extensive output from Minitab.