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020 _a9783030684020
024 7 _a10.1007/978-3-030-68402-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTS156.8
_b2021 EB
100 1 _aTesfay, Yohannes Yebabe
_eautor
_4http://id.loc.gov/vocabulary/relators/aut
_9681213
245 1 0 _aDeveloping Structured Procedural and Methodological Engineering Designs :
_bApplied Industrial Engineering Tools
_cby Yohannes Yebabe Tesfay
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Publishing
_c2021
300 _a1 recurso en línea (XXXVII, 383 páginas)
_b 130 ilustraciones, 113 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aEngineering (SpringerNature-11647)
490 0 _aEngineering (R0) (SpringerNature-43712)
505 0 _aEngineering 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.
520 3 _aThis 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.
988 _aSpringer_Engineering_2021
650 7 _2embne
_9150643
_aControl de procesos
776 0 8 _iPrinted edition:
_z9783030684013
776 0 8 _iPrinted edition:
_z9783030684037
776 0 8 _iPrinted edition:
_z9783030684044
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-68402-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2022
_dz
_eIG
_zSI