2004
DOI: 10.1080/002075403010001647604
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Optimal versus heuristic scheduling of surface mount technology lines

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Cited by 14 publications
(10 citation statements)
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“…A simplistic GA approach was proposed in [219] for an HFS with machine eligibility constraints and makespan criterion. The same SMT circuit board flexible flow line studied in [148,149] has been studied more recently in [91], where a mathematical programming based solution approach, dispatching rules and a TS algorithm are proposed. Very recently, a memetic algorithm (GA with embedded local search) was proposed for a similar problem [191].…”
Section: Metaheuristicsmentioning
confidence: 99%
See 1 more Smart Citation
“…A simplistic GA approach was proposed in [219] for an HFS with machine eligibility constraints and makespan criterion. The same SMT circuit board flexible flow line studied in [148,149] has been studied more recently in [91], where a mathematical programming based solution approach, dispatching rules and a TS algorithm are proposed. Very recently, a memetic algorithm (GA with embedded local search) was proposed for a similar problem [191].…”
Section: Metaheuristicsmentioning
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%
“…He tested the model for small-sized problems (e.g., five stages and ten jobs). Kaczmarczyk et al, (2004) proposed a new mixed integer programming formulation for general or batch scheduling in SMT lines with continuous or limited machine availability. Their formulation is an improved version of the model presented by Sawik (2001), incorporating new cutting constraints on decision variables.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, recent advances in integer programming have resulted in commercial software that can handle large mixed integer programs and find a proven optimal solution within a reasonable computation time, in particular if a strong formulation is applied, e.g., Kaczmarczyk et al (2004) and Sawik (2005).…”
Section: Introductionmentioning
confidence: 99%