2014
DOI: 10.1002/nav.21596
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Multiproduct batching and scheduling with buffered rework: The case of a car paint shop

Abstract: We study a problem of scheduling products on the same facility, which is motivated by a car paint shop. Items of the same product are identical. Operations on the items are performed sequentially in batches, where each batch is a set of operations on the same product. Some of the produced items are of the required good quality and some items can be defective. Defectiveness of an item is determined by a given simulated function of its product, its preceding product, and the position of its operation in the batc… Show more

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Cited by 3 publications
(1 citation statement)
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“…The researchers developed an optimized meta-heuristic using the Particle Swarm approach to resolve the model's NP-completeness. Jaehn et al (2014) explored a single-facility multiproduct sequential batch-size scheduling problem with buffered rework jobs for a real-world car painting case. Random defective items are gathered in a limited-capacity buffer waiting for a later rework by the same facility.…”
Section: Introductionmentioning
confidence: 99%
“…The researchers developed an optimized meta-heuristic using the Particle Swarm approach to resolve the model's NP-completeness. Jaehn et al (2014) explored a single-facility multiproduct sequential batch-size scheduling problem with buffered rework jobs for a real-world car painting case. Random defective items are gathered in a limited-capacity buffer waiting for a later rework by the same facility.…”
Section: Introductionmentioning
confidence: 99%