The blocking flow shop scheduling problem: A comprehensive and conceptual review

被引:49
作者
Miyata, Hugo Hissashi [1 ]
Nagano, Marcelo Seido [1 ]
机构
[1] Univ Sao Paulo, Sao Carlos Sch Engn, Prod Engn Dept, Av Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP, Brazil
关键词
Scheduling; Blocking flow shop; Solution methods; Literature review; Classification; BEE COLONY ALGORITHM; PARTICLE SWARM OPTIMIZATION; DIFFERENTIAL EVOLUTION ALGORITHM; NEIGHBORHOOD SEARCH ALGORITHM; TOTAL TARDINESS MINIMIZATION; BATCH-PROCESSING MACHINES; ITERATED GREEDY ALGORITHM; HYBRID GENETIC ALGORITHM; TOTAL COMPLETION-TIME; DE-BASED ALGORITHM;
D O I
10.1016/j.eswa.2019.06.069
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a literature review on the m-machine flow shop scheduling problem with blocking conditions. In total, 139 papers are reviewed and classified, ranging from 1969 up to early 2019. Results showed that makespan was the objective function most adopted by the researchers, with 62% of the total covered, followed by multi-objective based (12%), total flow time-based (11%), due date-based (7%), stochastic based functions (6%) and cycle time (3%). Regarding the purpose of the paper, approximately 92% of the papers proposed solution methods, where 76% of the papers developed heuristic methods and 16% of exact methods, and 8% of the papers considered the analysis of the problem and literature reviews. Directions for future researches include the proposition of solution methods for mono-objective functions as total flow time-based and due date-based, development of solution methods for the m-machine flow shop with RCb and RCb* constraints and adoption of more than one additional constraint to the problem. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:130 / 156
页数:27
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