000207259 001__ 207259
000207259 005__ 20181203023825.0
000207259 0247_ $$2doi$$a10.1080/00207543.2014.998790
000207259 022__ $$a0020-7543
000207259 02470 $$2ISI$$a000350451200016
000207259 037__ $$aARTICLE
000207259 245__ $$aA production scheduling problem with uncertain sequence-dependent set-up times and random yield
000207259 260__ $$aAbingdon$$bTaylor & Francis Ltd$$c2015
000207259 269__ $$a2015
000207259 300__ $$a16
000207259 336__ $$aJournal Articles
000207259 520__ $$aA scheduling problem in a real production line with uncertain sequence-dependent set-up times and a random yield is considered. The production line can produce multiple product types as production lots, each of which is composed of a number of products of the same product type. To changeover product types, a sequence-dependent set-up operation should be performed, and only the lower and upper bounds are known for the sequence-dependent set-up times. Moreover, the processing time to produce the required number of product for each production lot is uncertain due to the random yield. For the objective of minimising the average tardy probability of given production lots, a systematic approximation scheme to estimate tardy probabilities of lots in any given production sequence is developed by taking not only the uncertainties but also the computational efficiency into account. As practical solution approaches, a simulated annealing and a discrete particle swarm optimisation algorithms using the approximation scheme are developed, and their performance are evaluated by computational experiments. Since there has been no research on the scheduling problems with uncertain sequence-dependent set-up times and random yield, the authors expect this research will make an excellent contribution to develop practical scheduling methodologies in uncertain scheduling environments.
000207259 6531_ $$asimulated annealing
000207259 6531_ $$asequence-dependent set-up
000207259 6531_ $$aparticle swarm optimisation
000207259 6531_ $$ascheduling
000207259 6531_ $$ameta-heuristics
000207259 6531_ $$arandom yield
000207259 700__ $$0246104$$aJoo, Byung Jun$$g220982
000207259 700__ $$0243953$$aXirouchakis, Paul$$g107556
000207259 773__ $$j53$$k9$$q2820-2835$$tInternational Journal Of Production Research
000207259 909C0 $$0252295$$pLICP$$xU10361
000207259 909CO $$ooai:infoscience.tind.io:207259$$particle
000207259 917Z8 $$x207133
000207259 937__ $$aEPFL-ARTICLE-207259
000207259 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000207259 980__ $$aARTICLE