Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/66552
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dc.contributor.authorSirilak Phoninen_US
dc.contributor.authorChulin Likasirien_US
dc.date.accessioned2019-09-16T12:45:52Z-
dc.date.available2019-09-16T12:45:52Z-
dc.date.issued2019-07-24en_US
dc.identifier.issn15517616en_US
dc.identifier.issn0094243Xen_US
dc.identifier.other2-s2.0-85069975870en_US
dc.identifier.other10.1063/1.5114099en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85069975870&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/66552-
dc.description.abstract© 2019 Author(s). The authors study the corn crop residue management system for 16 provinces in northern Thailand which encompasses 127 agricultural cooperatives (co-ops), 974 corn fields and 274 customers. To solve the system's problems, we find clusters where co-ops will pick up crop residues from corn fields, process them into it biomass fuel and sell the fuel to customers. Each cluster consists of a co-op, a set of corn fields and a set of customers, the latter two being on separate routes from the co-op. To minimize the system's transportation cost and balance transportation cost between clusters, we propose mathematical model and apply two modified heuristics.en_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectEnvironmental Scienceen_US
dc.subjectPhysics and Astronomyen_US
dc.titleMinimum total distance clustering and balanced distance clustering in Northern Thailand's corn crop residue management systemen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleAIP Conference Proceedingsen_US
article.volume2116en_US
article.stream.affiliationsRajamangala University of Technology Krungthepen_US
article.stream.affiliationsSouth Carolina Commission on Higher Educationen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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