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Developing Structured Procedural and...
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Developing Structured Procedural and Methodological Engineering Designs = Applied Industrial Engineering Tools /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Developing Structured Procedural and Methodological Engineering Designs/ by Yohannes Yebabe Tesfay.
Reminder of title:
Applied Industrial Engineering Tools /
Author:
Tesfay, Yohannes Yebabe.
Description:
XXXVII, 383 p. 130 illus., 113 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Engineering design. -
Online resource:
https://doi.org/10.1007/978-3-030-68402-0
ISBN:
9783030684020
Developing Structured Procedural and Methodological Engineering Designs = Applied Industrial Engineering Tools /
Tesfay, Yohannes Yebabe.
Developing Structured Procedural and Methodological Engineering Designs
Applied Industrial Engineering Tools /[electronic resource] :by Yohannes Yebabe Tesfay. - 1st ed. 2021. - XXXVII, 383 p. 130 illus., 113 illus. in color.online resource.
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.
ISBN: 9783030684020
Standard No.: 10.1007/978-3-030-68402-0doiSubjects--Topical Terms:
560518
Engineering design.
LC Class. No.: TA174
Dewey Class. No.: 620.0042
Developing Structured Procedural and Methodological Engineering Designs = Applied Industrial Engineering Tools /
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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.
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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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