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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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 |
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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 |
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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. |
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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 |
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1681056184255119360 |