Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/63597
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dc.contributor.authorC. Kasemseten_US
dc.contributor.authorA. Petchalalaien_US
dc.date.accessioned2019-03-18T02:21:30Z-
dc.date.available2019-03-18T02:21:30Z-
dc.date.issued2019-01-09en_US
dc.identifier.issn2157362Xen_US
dc.identifier.issn21573611en_US
dc.identifier.other2-s2.0-85061767778en_US
dc.identifier.other10.1109/IEEM.2018.8607664en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85061767778&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/63597-
dc.description.abstract© 2018 IEEE. This study proposed the mathematical model to obtain the appropriate storage methods for raw material at a case study company. Three classes of raw material as A, B, and C were stored using three types of storage equipment: pallet, shelf, and roller rack. The optimal solution showed that 94.60% of the storage area was used for current volume of raw material. After that, the amount of raw material was increased by 20% due to the expected customer demand. The optimal solution cannot be obtained because the storage area was not sufficient. The optimal solution indicated that the current storage area can handle up to 13.6% increment. Then, the sensitivity analyses were carried out. The results from the tests showed that to handle 20% increment as forecast, an additional storage area of increment 128.55 m 2 should be added to the current.en_US
dc.subjectBusiness, Management and Accountingen_US
dc.subjectEngineeringen_US
dc.titleApplication of Mathematical Model for Raw Material Storage Managementen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleIEEE International Conference on Industrial Engineering and Engineering Managementen_US
article.volume2019-Decemberen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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