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2017 | OriginalPaper | Buchkapitel

A Dynamic Approach to Multi-stage Job Shop Scheduling in an Industry 4.0-Based Flexible Assembly System

verfasst von : Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov

Erschienen in: Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing

Verlag: Springer International Publishing

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Abstract

Industry 4.0 technology is based on the concepts of flexibility and dynamic assembly system design. This enables new production strategies and creates new challenges for job shop scheduling. In particular, manufacturing processes for different customer orders may have individual machine structures whereas the flexible stations are able to execute different functions subject to individual sets of operations within the jobs. This study develops a control approach to job shop scheduling in a customized manufacturing process and job sequencing of operations within the jobs. The developed approach presents a contribution to flexible distributed scheduling in the emerging field of Industry 4.0-based innovative production systems.

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Vorheriges Kapitel Decentralized Vs. Centralized Sequencing in a Complex Job-Shop Scheduling

Nächstes Kapitel Genetic Algorithms with Simulation for a Job Shop Scheduling Problem with Crane Conveyance

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Titel: A Dynamic Approach to Multi-stage Job Shop Scheduling in an Industry 4.0-Based Flexible Assembly System
verfasst von: Dmitry Ivanov
Alexandre Dolgui
Boris Sokolov
Verlag: Springer International Publishing
Buch: Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing
Print ISBN: 978-3-319-66922-9

Electronic ISBN: 978-3-319-66923-6

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-66923-6_56

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