Decomposition methods for manufacturing system scheduling : a survey

Manufacturing is the application of labor, tools, machines, chemical and biological processing, to an original raw material by changing its physical and geometrical characteristics, in order to make finished products. Since the first industrial revolution, to accommodate the large-scale production,...

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Main Authors: Yang, Fajun, Gao, Kaizhou, Simon, Ian Ware, Zhu, Yuting, Su, Rong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/140901
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1409012020-06-10T07:18:02Z Decomposition methods for manufacturing system scheduling : a survey Yang, Fajun Gao, Kaizhou Simon, Ian Ware Zhu, Yuting Su, Rong School of Electrical and Electronic Engineering - Delta-NTU Corporate Lab for Cyber-Physical Systems Engineering::Electrical and electronic engineering Assembly Line High-mix Manufacturing is the application of labor, tools, machines, chemical and biological processing, to an original raw material by changing its physical and geometrical characteristics, in order to make finished products. Since the first industrial revolution, to accommodate the large-scale production, tremendous changes have happened to manufacturing through the innovations of technology, organization, management, transportation and communication. This work first reviews the highvolume low-mix process by focusing on the quantity production, transfer line and single model assembly line. Then, it reviews the high-volume high-mix process. For such a process type, mixed/multi model assembly line is usually adopted. Hence, two main decisions on them, i.e., balancing and, sequencing are reviewed. Thereafter, it discusses the low-volume high-mix process in detail. Then, technology gap and future work is discussed, and at last, conclusions are given. NRF (Natl Research Foundation, S’pore) Published version 2020-06-02T13:27:34Z 2020-06-02T13:27:34Z 2018 Conference Paper Yang, F., Gao, K., Simon, I. W., Zhu, Y., & Su, R. (2018). Decomposition methods for manufacturing system scheduling : a survey. IEEE/CAA Journal of Automatica Sinica, 5(2), 389-400. doi:10.1109/jas.2017.7510805 2329-9266 https://hdl.handle.net/10356/140901 5 389 400 en © 2018 The Chinese Association of Automation (published by IEEE). This is an open-access article distributed under the terms of the Creative Commons Attribution License. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Assembly Line
High-mix
spellingShingle Engineering::Electrical and electronic engineering
Assembly Line
High-mix
Yang, Fajun
Gao, Kaizhou
Simon, Ian Ware
Zhu, Yuting
Su, Rong
Decomposition methods for manufacturing system scheduling : a survey
description Manufacturing is the application of labor, tools, machines, chemical and biological processing, to an original raw material by changing its physical and geometrical characteristics, in order to make finished products. Since the first industrial revolution, to accommodate the large-scale production, tremendous changes have happened to manufacturing through the innovations of technology, organization, management, transportation and communication. This work first reviews the highvolume low-mix process by focusing on the quantity production, transfer line and single model assembly line. Then, it reviews the high-volume high-mix process. For such a process type, mixed/multi model assembly line is usually adopted. Hence, two main decisions on them, i.e., balancing and, sequencing are reviewed. Thereafter, it discusses the low-volume high-mix process in detail. Then, technology gap and future work is discussed, and at last, conclusions are given.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yang, Fajun
Gao, Kaizhou
Simon, Ian Ware
Zhu, Yuting
Su, Rong
format Conference or Workshop Item
author Yang, Fajun
Gao, Kaizhou
Simon, Ian Ware
Zhu, Yuting
Su, Rong
author_sort Yang, Fajun
title Decomposition methods for manufacturing system scheduling : a survey
title_short Decomposition methods for manufacturing system scheduling : a survey
title_full Decomposition methods for manufacturing system scheduling : a survey
title_fullStr Decomposition methods for manufacturing system scheduling : a survey
title_full_unstemmed Decomposition methods for manufacturing system scheduling : a survey
title_sort decomposition methods for manufacturing system scheduling : a survey
publishDate 2020
url https://hdl.handle.net/10356/140901
_version_ 1681056184255119360