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dc.contributor.authorNoppon Choosrien_US
dc.contributor.authorHongnian Yuen_US
dc.contributor.authorAnthony S. Atkinsen_US
dc.date.accessioned2018-09-04T04:19:22Z-
dc.date.available2018-09-04T04:19:22Z-
dc.date.issued2011-12-28en_US
dc.identifier.other2-s2.0-84255198336en_US
dc.identifier.other10.1109/SKIMA.2011.6089984en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84255198336&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/49852-
dc.description.abstractThe research proposes a novel generic fleet scheduling for a split delivery with scarce resource problem. The research presents the problem in Constraint Satisfaction Problem (CSP) and further tackling it using Constraint Programming. The prototype system has been developed to evaluate the proposed method using problem statement case study from one of the large agricultural product supplier in the north of Thailand. The developed system deals with practical constraints including hard constraints e.g. vehicle capacity, time window, vehicle usage restriction and fleet constraints, and soft constraint which is a minimising of using subcontractor. The results showed a primary success of the proposed method in providing efficiency decision for agricultural transport planning. © 2011 IEEE.en_US
dc.subjectComputer Scienceen_US
dc.titleUsing constraint programming for split delivery scheduling in scarce resource environmenten_US
dc.typeConference Proceedingen_US
article.title.sourcetitleSKIMA 2011 - 5th International Conference on Software, Knowledge Information, Industrial Management and Applicationsen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsStaffordshire Universityen_US
Appears in Collections:CMUL: Journal Articles

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