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Developing Structured Procedural and Methodological Engineering Designs : Applied Industrial Engineering Tools / by Yohannes Yebabe Tesfay

By: Tesfay, Yohannes Yebabe, autor
Material type: materialTypeLabelE-bookSeries: (Engineering (SpringerNature-11647)); (Engineering (R0) (SpringerNature-43712)).Publisher: Cham : Springer International Publishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XXXVII, 383 páginas) : 130 ilustraciones, 113 ilustraciones a color.ISBN: 9783030684020.Subject: Control de procesosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TS156.8 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.11012188
Total holds: 0

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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