2005
DOI: 10.1016/j.ijpe.2004.03.011
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Group scheduling in flexible flow shops

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Cited by 72 publications
(32 citation statements)
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“…On-line methods are given in [72] for the m-stage HFS with the makespan criterion. Group scheduling for an mstage HFS was approached by [121]. [64] consider a realistic problem where due date assignment is part of the problem.…”
Section: Heuristicsmentioning
confidence: 99%
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“…On-line methods are given in [72] for the m-stage HFS with the makespan criterion. Group scheduling for an mstage HFS was approached by [121]. [64] consider a realistic problem where due date assignment is part of the problem.…”
Section: Heuristicsmentioning
confidence: 99%
“…F Hm, ((P M (k) ) m k=1 ))|avail|several simulation, heuristics, SA [16] F H3, ((P M (k) ) 3 k=1 ))||Cmax agent-based approach [20] F Hm, ((P M (k) ) m k=1 ))|recrc|Ū w MPF, GA, lower bounds,checks processing [47] F Hm, ((P M (k) ) m k=1 ))||Cmax Artificial Immune Systems [91] F Hm, ((P M (k) ) m k=1 ))|blocking, skip|Cmax flow lines, MPF, TS, huristics F H2, ((1 (1) , P 2 (2) ))||Cmax B&B, GA, heuristics [41] F Hm, ((P M (k) ) m k=1 ))|recrc|T w dispatching rules, heuristics [61] F H2, ((1 (1) , P 2 (2) ))|no − wait, (p j = 1) 1 |Cmax exact method [96] F Hm, ((P M (k) ) m k=1 ))||{Cmax,C} review on exact solution methods [121] F H2, ((1 (1) , P M (2) ))|avail|Cmax B&B, heuristics, complexity [38] F H3, ((RM (k) ) 3 k=1 ))|prec, block, S nsd |Cmax MPR-TS [70] F H2, ((P M (k) ) 2 k=1 )||Cmax B&B [88] F Hm, ((P M (k) ) m k=1 ))||Cmax MPR-SA, lower bounds [107] F H2, ((P 2 (1) , 1 (2) ))|batch|Cmax TSP-based heuristics [37] F H3, ((RM (k) ) 3 k=1 ))|S sd , block, prec|Cmax MPF, lower bounds, TS [50] F Hm, ((P M (k) ) m k=1 ))|assign|ĒT TS, special problem [83] F Hm, ((P M (k) ) m k=1 ))|r j |Cost TS, SA, heuristics [85] F Hm, ((RM (k) ) m k=1 ))|lot, skip|Cost GA, SA, flow lines [100] F H3, ((P M (k) ) 3 k=1 ))||Cmax heuristics [151] (1) , P 2 (2) ))|assembly (2) |F heuristics [195] F Hm, ((P M (k) ) m k=1 ))|size jk |Cmax Particle Swarm Optimization [196] F H2, ((1 (1) , P 2 (2) ))|skip (1) |Cmax heuristics 2009 [90] F Hm, ((RM (k) ) m k=1 ))|S sd , r j |αCmax + (1 − α)Ū MPF, heuristics, dispatching rules, GA [95] F H2, ((P M (1) , 1 (2) ))||Cmax heuristics, product-mix [191] F Hm, ((P M (k) ) m k=1 ))|skip, block, reentry|Cmax GA mixed with LS [229] F Hm, ((P M (k) ) m k=1 ))|size jk |Cmax Iterated Greedy (IG) [19] F H2, ((P M (1) , P M (2) ))|batch (2) |Cmax heuris...…”
Section: Research Opportunities and Conclusionmentioning
confidence: 99%
“…Os sistemas flexible flow shop estão se tornando gradativamente mais frequentes na indústria, principalmente devido à grande carga de trabalho requerida pelas tarefas nas máquinas (Logendran et al, 2005). Como observaram Quadt & Kuhn (2007a), o sistema flow shop híbrido pode ser encontrado em um vasto número de indústrias, como química, eletrônica, de empacotamento, farmacêutica, automotiva, de embalagens de vidro, madeireira, têxtil, de herbicidas, alimentícia, de cosméticos e de semicondutores.…”
Section: Programação Em Sistemas Flexible Flow Lineunclassified
“…Foi proposta uma heurística para gerar uma solução inicial e um algoritmo simulated annealing para melhorá-la. Heurísticas construtivas para minimização do makespan foram apresentadas por Logendran et al (2005). As tarefas foram agrupadas em famílias.…”
Section: Regras De Prioridade Propostasunclassified
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