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Scheduling for Re-entrant Hybrid Flowshop Based on Wolf Pack Algorithm
Han ZH(韩忠华)1,2; Tian, Xutian3; Ma, Xiaofu4; Lin S(林硕)1
Department数字工厂研究室
Conference Name2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation, AMIMA 2018
Conference DateMay 23-26, 2018
Conference PlaceChina
Author of SourceNanjing University of Information Science and Technology ; University of Information Technology
Source PublicationIOP Conference Series: Materials Science and Engineering
PublisherIOP
Publication PlaceBristol, UK
2018
Pages2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation - 2. Modeling, Analysis, Simulation and Scheduling of Manufacturing Processes
Indexed ByEI
EI Accession number20183105622486
Contribution Rank1
ISSN1757-8981
AbstractIn 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.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/22364
Collection数字工厂研究室
Corresponding AuthorHan ZH(韩忠华)
Affiliation1.Faculty of Information and Control Engineering, Shenyang Jianzhu University, Liaoning
2.110168, China
3.Digital Factory Department, Shenyang Institute of Automation, CAS, Shenyang
4.110016, China
5.Information and Control Engineering Faculty, Shenyang Jianzhu University, Liaoning
6.110168, China
7.Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg
8.VA
9.24060, United States
Recommended Citation
GB/T 7714
Han ZH,Tian, Xutian,Ma, Xiaofu,et al. Scheduling for Re-entrant Hybrid Flowshop Based on Wolf Pack Algorithm[C]//Nanjing University of Information Science and Technology, University of Information Technology. Bristol, UK:IOP,2018:2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation - 2. Modeling, Analysis, Simulation and Scheduling of Manufacturing Processes.
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