Springer Developing Structured Procedural and Methodological Engineering Designs: Applied Industrial Engineering Tools

This book is designed to assist industrial engineers and production managers in developing procedural and methodological engineering tools to meet industrial standards and mitigate engineering and production challenges. It offers practitioners expert guidance on how to implement adequate statistical process control (SPC), which takes account of the capability to ensure a stable process and then regulate if variations take place due to variables other than a random variation. Powerful engineering models of new product introduction (NPI), continuous improvement (CI), and the eight disciplines (8D) model of problem solving techniques are explained. The final three chapters introduce new methodological models in operations research (OR) and their applications in engineering, including the hyper-hybrid coordination for process effectiveness and production efficiency, and the Kraljic-Tesfay portfolio matrix of industrial buying. From the Back Cover This book is designed to assist industrial engineers and production managers in developing procedural and methodological engineering tools to meet industrial standards and mitigate engineering and production challenges. It offers practitioners expert guidance on how to implement adequate statistical process control (SPC), which takes account of the capability to ensure a stable process and then regulate if variations take place due to variables other than a random variation. Powerful engineering models of new product introduction (NPI), continuous improvement (CI), and the eight disciplines (8D) model of problem solving techniques are explained. The final three chapters introduce new methodological models in operations research (OR) and their applications in engineering, including the hyper-hybrid coordination for process effectiveness and production efficiency, and the Kraljic-Tesfay portfolio matrix of industrial buying. Provides innovative models in engineering, supply chain analysis, and operations management; Offers practitioners expert guidance on how to implement adequate statistical process control (SPC); Includes new methodological models, such as hyper-hybrid coordination for process effectiveness and the Kraljic-Tesfay portfolio matrix. About the Author Professor Yohannes Yebabe Tesfay is a senior engineer-scientist of new product introduction (NPI), reliability and quality functions. He has innovated many equations, models, and applied theories which include Tesfay coordination. He is a Lean Six Sigma Black Belt, IATF, and ISO professional and is experienced with lean manufacturing engineering practices via process and design development, job-shadowing, and modeling. He is an expert in process flow, plant layout of vertically integrated manufacturing operations, and leading projects utilizing his strong analytical background, emphasizing the design of new product development. He can interpret intricate drawings (GD&T) and technical standards in many engineering sectors. In his most recent role as a new product development engineer scientist at HMPA, he is accountable for the supervision of research, junior industrial, process, and manufacturing engineers in developing design and implementing improvements to eliminate operational wastes within the process and identify potential gaps associated with quality control via applying SPC, engineering DoE, APQP, FMEA, MSA, and PPAP standard engineering methodologies of ISO, IATF, and AS.