A REACTIVE SCHEDULING APPROACH BASED ON FUZZY INFERENCE FOR HYBRID FLOWSHOP SYSTEMS

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dc.contributor.authorAraz, OU
dc.contributor.authorEski, O
dc.contributor.authorAraz, C
dc.date.accessioned2024-07-18T11:40:06Z
dc.date.available2024-07-18T11:40:06Z
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.
dc.identifier.issn1726-4529
dc.identifier.other1996-8566
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/2169
dc.language.isoEnglish
dc.publisherDAAAM INTERNATIONAL VIENNA
dc.subjectNEURAL-NETWORKS
dc.subjectSHOP
dc.subjectSIMULATION
dc.subjectTIME
dc.subjectMULTICRITERIA
dc.subjectALGORITHMS
dc.subject2-STAGE
dc.titleA REACTIVE SCHEDULING APPROACH BASED ON FUZZY INFERENCE FOR HYBRID FLOWSHOP SYSTEMS
dc.typeArticle

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