Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/53527
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dc.contributor.authorChompoonoot Kasemseten_US
dc.contributor.authorUttapol Smutkupten_US
dc.date.accessioned2018-09-04T09:50:50Z-
dc.date.available2018-09-04T09:50:50Z-
dc.date.issued2014-01-01en_US
dc.identifier.issn10226680en_US
dc.identifier.other2-s2.0-84901506250en_US
dc.identifier.other10.4028/www.scientific.net/AMR.931-932.1631en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84901506250&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/53527-
dc.description.abstractThis study aimed to present the robustness evaluation of job-shop scheduling based on Theory of Constraints (TOC) concept under processing time and demand variations using simulation technique. The performance of schedule based on TOC and traditional method (minimizing Cmax) were compared in terms of schedule robustness and performance. Simulation test scenarios were carried out by applying different distributions of processing time with two case problems as single and double bottlenecks cases. In addition, demand variation was added to the simulation test at the last experiment to increase the system variation. The results showed that the schedule based on TOC concept was superior to the schedule from traditional method when the variation in both processing time and demand were increased and the production system was more complicated as can be observed from the results of double bottlenecks case. © (2014) Trans Tech Publications, Switzerland.en_US
dc.subjectEngineeringen_US
dc.titleRobustness evaluation of job-shop scheduling based on theory of constraints (TOC)en_US
dc.typeBook Seriesen_US
article.title.sourcetitleAdvanced Materials Researchen_US
article.volume931-932en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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