This textbook provides the tools, techniques, and industry examples needed for the successful implementation of design of experiments (DoE) in engineering and manufacturing applications. It contains a high-level engineering analysis of key issues in the design, development, and successful analysis of industrial DoE, focusing on the design aspect of the experiment and then on interpreting the results. Statistical analysis is shown without formula derivation, and readers are directed as to the meaning of each term in the statistical analysis. Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization is designed for graduate-level DoE, engineering design, and general statistical courses, as well as professional education and certification classes. Practicing engineers and managers working in multidisciplinary product development will find it to be an invaluable reference that provides all the information needed to accomplish a successful DoE.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. PROVEN STRATEGIES FOR SUCCESSFULLY MANAGING HIGH-TECH ENGINEERING PROJECTSEngineering Project Management for the Global High-Technology Industry describes how to effectivelyimplement a wide array of project management tools and techniques and covers comprehensive details on the entire product development lifecycle. Technology management--from research to advanced development to adoption in new products--is explained with examples of organizational structure and required timelines. This practical guide discusses key topics such as creating a business plan, performing economic analysis,leveraging internal resources and the supply chain, planning project development, controlling projects, tracking progress, managing risk, and reporting to management. Skills essential to the successful project manager, including communication, leadership, and teamwork, are also addressed. Real-world case studies from top global technology companies illustrate the concepts presented in the book. COVERAGE INCLUDES: Project lifecycle and development of engineeringproject management tools and techniques Product stages and project management structures for developing them Project inception: benchmarking, IP, and voice ofthe customer (VoC) VoC case study Project justification and engineering economic analysis Make or buy: subcontracting and managing the supply chain Engineering project planning and execution Project phases, control, risk analysis, and teamleadership Project monitoring and control case study Engineering project communications Engineering project and product costing Building and managing teams

This textbook provides the tools, techniques, and industry examples needed for the successful implementation of design of experiments (DoE) in engineering and manufacturing applications. It contains a high-level engineering analysis of key issues in the design, development, and successful analysis of industrial DoE, focusing on the design aspect of the experiment and then on interpreting the results. Statistical analysis is shown without formula derivation, and readers are directed as to the meaning of each term in the statistical analysis. Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization is designed for graduate-level DoE, engineering design, and general statistical courses, as well as professional education and certification classes. Practicing engineers and managers working in multidisciplinary product development will find it to be an invaluable reference that provides all the information needed to accomplish a successful DoE.