2018
DOI: 10.1109/tsm.2017.2768899
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Scheduling of Dual Resource Constrained Lithography Production: Using CP and MIP/CP

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Cited by 23 publications
(11 citation statements)
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“…that provides the best results in 76 out of the 80 total tested instances. Bitar, Dauzère-Pérès, Yugma, & Roussel (2016) , Ham (2018) , Zheng & Wang (2016a) and Zheng & Wang (2018) study similar problems within the semi-conductor industry. All authors propose different solution methods, however no comparison between results is given.…”
Section: Scheduling With Fixed Resource Typesmentioning
confidence: 99%
“…that provides the best results in 76 out of the 80 total tested instances. Bitar, Dauzère-Pérès, Yugma, & Roussel (2016) , Ham (2018) , Zheng & Wang (2016a) and Zheng & Wang (2018) study similar problems within the semi-conductor industry. All authors propose different solution methods, however no comparison between results is given.…”
Section: Scheduling With Fixed Resource Typesmentioning
confidence: 99%
“…They proposed a B&C method to obtain near-optimal solutions and developed a two-phase heuristic that considers a subset of constraints in each phase so as to improve the computation efficiency. Furthermore, resource transportation time is considered in [80,81]. Bitar et al [80] studied the R m |aux, s lk | ∑ w j C j ,throughput , in which only one reticle is stocked for each job type, and a unitary transport time is needed for each movement.…”
Section: Non-batch Machine Scheduling Problemsmentioning
confidence: 99%
“…They proposed an MA whose coding and decoding schemes are based upon some neighborhood structure properties. Ham [81] formulated a similar problem as a MILP and showed that the CP model combined with variable ordering heuristic is able to find optimal solutions for large instances, e.g., up to 200 jobs, 30 machines, and 200 reticles. Chung et al [82] studied the P 2 |aux|C max .…”
Section: Non-batch Machine Scheduling Problemsmentioning
confidence: 99%
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“…The reticle transfers (between machines) have not been explicitly modeled in any of the studies above. Ham [26] is the first study that considers the resource-constraint scheduling problem (referred to as dual-resource constraint, considering both machines and reticles as resources) restricted by sequence-dependent setup time and location-dependent reticle transfer times. Our work complements Ham [26] in several aspects.…”
Section: Literature Reviewmentioning
confidence: 99%