Scheduling for Re-entrant Hybrid Flowshop Based on Wolf Pack Algorithm

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Han, Zhonghua^1,2 ; Tian, Xutian^3 ; Ma, Xiaofu^4 ; Lin, Shuo^1

Faculty of Information and Control Engineering, Shenyang Jianzhu University, Liaoning

110168, China^1

Digital Factory Department, Shenyang Institute of Automation, CAS, Shenyang

110016, China^2

Information and Control Engineering Faculty, Shenyang Jianzhu University, Liaoning

110168, China^3

Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg

VA

24060, United States^4

关键词: Conventional methods;    Global optimization method;    Hybrid flow shop;    Manufacturing enterprise;    Mathematical programming models;    Scheduling problem;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/3/032007/pdf
DOI  :  10.1088/1757-899X/382/3/032007

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In order to solve the scheduling problems of Re-entrant Hybrid Flowshop (RHFS), this paper investigates the mathematical programming model of RHFS, and proposes the wolf pack based algorithm (WPA) as a global optimization method. Multi-Sticking Crape Masking procedure scheduling problems in painting workshop of a bus manufacturing enterprise are of typical features of RHFS. We regard it as an application objective of the proposed algorithm, applying WPA and multiple evolutionary algorithms to solve the problems. The results show that the algorithm can solve re-entrant scheduling problems of hybrid flowshop more effectively compared with other conventional methods.