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Developing Structured Procedural and Methodological Engineering Designs [electronic resource] : Applied Industrial Engineering Tools / by Yohannes Yebabe Tesfay.

By: Tesfay, Yohannes Yebabe [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XXXVII, 383 p. 130 illus., 113 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030684020.Subject(s): Engineering design | Industrial engineering | Production engineering | Operations research | Technological innovations | Engineering Design | Industrial and Production Engineering | Operations Research and Decision Theory | Innovation and Technology ManagementAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 620.0042 Online resources: Click here to access online
Contents:
Engineering Quality and Quality Control Tools -- Statistical Process Control (SPC) -- Engineering Acceptance Sampling Design -- Quality Design for New Product Introduction (NPI) -- Engineering of Continuous Improvement Techniques -- 8D Problem Solving Model -- Analyzing Industrial Impact of the Bullwhip Effect -- Applications of Tesfay Coordination in Airline Industry -- Applications Modified Panel Data Regression Model in the Airline Industry.
In: Springer Nature eBookSummary: 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.
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Engineering Quality and Quality Control Tools -- Statistical Process Control (SPC) -- Engineering Acceptance Sampling Design -- Quality Design for New Product Introduction (NPI) -- Engineering of Continuous Improvement Techniques -- 8D Problem Solving Model -- Analyzing Industrial Impact of the Bullwhip Effect -- Applications of Tesfay Coordination in Airline Industry -- Applications Modified Panel Data Regression Model in the Airline Industry.

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.

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