A new vision of approximate methods for the permutation flowshop to minimise makespan: State-of-the-art and computational evaluation

被引:161
作者
Fernandez-Viagas, Victor [1 ]
Ruiz, Ruben [2 ]
Framinan, Jose M. [1 ]
机构
[1] Univ Seville, Sch Engn, Ind Management, Ave Descubrimientos S-N, E-41092 Seville, Spain
[2] Acc B Univ Politecn Valencia, Inst Tecnol Informat, Grp Sistemas Optimizat Aplicada, Ciudad Politecn Innovat, Edifico 8G,Camino Vera S-N, Valencia 46021, Spain
关键词
Scheduling; Flowshop; Heuristics; Metaheuristics; Computational evaluation; SHOP SCHEDULING PROBLEM; PARTICLE SWARM OPTIMIZATION; DIFFERENTIAL EVOLUTION ALGORITHM; HIGH-PERFORMING HEURISTICS; TABU SEARCH ALGORITHM; BEE COLONY ALGORITHM; GENETIC ALGORITHM; SEQUENCING PROBLEM; SCATTER SEARCH; ARTIFICIAL CHROMOSOMES;
D O I
10.1016/j.ejor.2016.09.055
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The permutation flowshop problem is a classic machine scheduling problem where n jobs must be processed on a set of m machines disposed in series and where each job must visit all machines in the same order. Many production scheduling problems resemble flowshops and hence it has generated much interest and had a big impact in the field, resulting in literally hundreds of heuristic and metaheuristic methods over the last 60 years. However, most methods proposed for makespan minimisation are not properly compared with existing procedures so currently it is not possible to know which are the most efficient methods for the problem regarding the quality of the solutions obtained and the computational effort required. In this paper, we identify and exhaustively compare the best existing heuristics and metaheuristics so the state-of-the-art regarding approximate procedures for this relevant problem is established. (C) 2016 Elsevier B.V. All rights reserved.
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页码:707 / 721
页数:15
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