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Open Access

Distributed Scheduling Problems in Intelligent Manufacturing Systems

College of Business, Qingdao University, Qingdao 266071, China
Institute of Systems Engineering, Macau University of Science and Technology, Macao 999078, China
Department of Automation, Tsinghua University, Beijing 100084, China
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Abstract

Currently, manufacturing enterprises face increasingly fierce market competition due to the various demands of customers and the rapid development of economic globalization. Hence, they have to extend their production mode into distributed environments and establish multiple factories in various geographical locations. Nowadays, distributed manufacturing systems have been widely adopted in industrial production processes. In recent years, many studies have been done on the modeling and optimization of distributed scheduling problems. This work provides a literature review on distributed scheduling problems in intelligent manufacturing systems. By summarizing and evaluating existing studies on distributed scheduling problems, we analyze the achievements and current research status in this field and discuss ongoing studies. Insights regarding prior works are discussed to uncover future research directions, particularly swarm intelligence and evolutionary algorithms, which are used for managing distributed scheduling problems in manufacturing systems. This work focuses on journal papers discovered using Google Scholar. After reviewing the papers, in this work, we discuss the research trends of distributed scheduling problems and point out some directions for future studies.

Keywords

distributed manufacturing systemsdistributed scheduling problemsmodeling and optimizationintelligent optimization methods

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Tsinghua Science and Technology
Volume 26 Issue 5,
October 2021
Pages 625-645
DOI: 10.26599/TST.2021.9010009
Cite this article:
Fu Y, Hou Y, Wang Z, et al. Distributed Scheduling Problems in Intelligent Manufacturing Systems. Tsinghua Science and Technology, 2021, 26(5): 625-645. https://doi.org/10.26599/TST.2021.9010009

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Received: 05 January 2021
Accepted: 27 January 2021
Published: 20 April 2021
© The author(s) 2021

© The author(s) 2021. The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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