A reactive scheduling approach based on fuzzy inference for hybrid flowshop systems

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dc.contributor.authorUzun Araz O.
dc.contributor.authorEski O.
dc.contributor.authorAraz C.
dc.date.accessioned2024-07-22T08:08:43Z
dc.date.available2024-07-22T08:08:43Z
dc.date.issued2019
dc.description.abstractHybrid flowshops consist of multiple production stages each of which has multiple parallel machines. Scheduling of hybrid flowshops is a NP-hard even in its simplest form. The presence of uncertainty in real-world problems forces the decision makers to reconsider their scheduling decisions in reactive manner. In this study, we proposed a proactive-reactive scheduling approach which allows to be changed dispatching rule set applied in time. The methodology consists of three parts: Shop Floor Management system with a triggering mechanism based on fuzzy inference system, performance prediction of the alternative dispatching rule sets based on Taguchi design, simulation, artificial neural networks, and a multi-criteria decision making methodology for determining new scheduling dispatching rule set. The proposed approach is applied on a real world problem from literature and the results are compared with static approach. © 2019 DAAAM International Vienna. All rights reserved.
dc.identifier.DOI-ID10.2507/IJSIMM18(1)448
dc.identifier.issn17264529
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/14497
dc.language.isoEnglish
dc.publisherDAAAM International Vienna
dc.rightsAll Open Access; Bronze Open Access; Green Open Access
dc.titleA reactive scheduling approach based on fuzzy inference for hybrid flowshop systems
dc.typeArticle

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