2014
DOI: 10.1016/j.cor.2014.03.009
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Combining matheuristics and MILP to solve the accessibility windows assembly line balancing problem level 2 (AWALBP-L2)

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Cited by 13 publications
(38 citation statements)
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“…Avikal, Jain, Mishra, and Yadav (2013) addressed the U shaped assembly line balancing problem with consideration of labor productivity. Calleja, Corominas, García-Villoria, and Pastor (2014) addressed the socalled Accessibility Windows Assembly Line Balancing Problem (AWALBP) where the length of the work-piece is larger than the width of workstations. Ullah, Guan, Liu, Zhang, and Wang (2014) studied the assembly line balancing problem with uncertain task times.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Avikal, Jain, Mishra, and Yadav (2013) addressed the U shaped assembly line balancing problem with consideration of labor productivity. Calleja, Corominas, García-Villoria, and Pastor (2014) addressed the socalled Accessibility Windows Assembly Line Balancing Problem (AWALBP) where the length of the work-piece is larger than the width of workstations. Ullah, Guan, Liu, Zhang, and Wang (2014) studied the assembly line balancing problem with uncertain task times.…”
Section: Literature Reviewmentioning
confidence: 99%
“…and instances up to a certain size were solved to optimality. On the other hand, a different approach to the problem considers hybridizing heuristics and mathematical programming to solve the instances that are out of reach of the former models, which is presented in Calleja et al (2014). In that work, a heuristic is used to compute good initial solutions and to derive bounds.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…In a second step, the obtained bounds are incorporated onto a MILP model, with the aim to reduce the model dimension and the solution space. Contrarily to the collaborative combination between a heuristic and MILP of Calleja et al (2014), in this paper we propose integrative combinations between metaheuristics and MILP, where the MILP model is a subordinated element embedded inside the metaheuristic scheme.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
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