Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/65556
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dc.contributor.authorSirada Kerdsirien_US
dc.contributor.authorSomrawee Aramkulen_US
dc.contributor.authorPaskorn Champraserten_US
dc.date.accessioned2019-08-05T04:35:19Z-
dc.date.available2019-08-05T04:35:19Z-
dc.date.issued2019-05-14en_US
dc.identifier.other2-s2.0-85066622084en_US
dc.identifier.other10.1109/IEA.2019.8714919en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066622084&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65556-
dc.description.abstract© 2019 IEEE. The employee allocation and production scheduling are the key factors in manufacturing enterprises. Especially, in small and medium enterprises, the working employees are the main resources of the production process. The employees gain orientation in variety skills; they can be assigned to any processes. Moreover, when the employees work for a long period, the productivity drops because of their working fatigue. Thus, the initial flow shop scheduling plan may not result as expected. This paper proposes to apply the re-optimization process for employee allocation during the production period. However, the re-optimization requires the setup time to start the new process. The proposed model introduces the rescheduling checking procedure to properly invoke the optimization process. The genetic algorithm is applied in the optimization process. The evaluation results show that the proposed model can reduce the makespan with the suitable rescheduling optimization process.en_US
dc.subjectDecision Sciencesen_US
dc.subjectEngineeringen_US
dc.titleFatigue Consideration optimization Model for Employee Allocation in Flow Shop Scheduling Problemsen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019en_US
article.stream.affiliationsChiang Mai Rajabhat Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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