Multi-factory Cellular Manufacturing Cell Formation and Product Scheduling via Genetic Algorithm

被引：2

作者：

Wang, Jufeng ^{[1
]}

Liu, Chunfeng ^{[2
]}

Zhou, MengChu ^{[3
,4
,5
]}

机构：

[1] China Jiliang Univ, Dept Informat & Comp Sci, Hangzhou 310018, Peoples R China

[2] Hangzhou Dianzi Univ, Sch Management, Hangzhou 310018, Peoples R China

[3] New Jersey Inst Technol, Helen & John C Hartmann Dept Elect & Comp Engn, Newark, NJ 07102 USA

[4] Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China

[5] Macau Univ Sci & Technol, Collaborat Lab Intelligent Sci & Syst, Macau 999078, Peoples R China

来源：

2021 IEEE 17TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) | 2021年

关键词：

Cell formation; Scheduling; Cellular manufacturing system; Supply chain; Genetic Algorithm; RESOURCE; DESIGN; DECISIONS; SYSTEM; MODEL;

D O I：

10.1109/CASE49439.2021.9551488

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The work aims to solve a cell formation and product scheduling problem by considering dual-resource setting, supply chain, profit maximization, and operational error rate in multi-factory cellular manufacturing systems. This problem is important and highly challenging. To solve it, this work proposes a genetic algorithm with novel initialization. Computational experiments are conducted to show that the proposed algorithm has better performance than conventional genetic algorithm without the proposed heuristic given the same computational budget.

引用

页码：1207 / 1212

页数：6

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