Publication:
Application of a genetic algorithm for multi-item inventory lot-sizing with supplier selection under quantity discount and lead time

dc.contributor.authorSunan Klinmaleeen_US
dc.contributor.authorThanakorn Naennaen_US
dc.contributor.authorChirawat Woarawichaien_US
dc.contributor.otherRajamangala University of Technology Krungthepen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2020-08-25T09:39:53Z
dc.date.available2020-08-25T09:39:53Z
dc.date.issued2020-01-01en_US
dc.description.abstractCopyright © 2020 Inderscience Enterprises Ltd. This study presents an application of genetic algorithm (GA) for solving the multi-item inventory lot-sizing problem with supplier selection under discounts and lead time constraints. A mixed-integer linear programming (MILP) model is developed for proposed problem. To solve the problem, a genetic algorithm (GA) with two additional operations is proposed for handling the effect of the problem size. An adaptor for adjusting a chromosome data before the evaluation process and a penalty step for deterring an infeasible solution are developed. Finally, numerical examples are generated to evaluate the performance of the proposed GA, and the comparison with MILP approach about the solution quality and time is presented.en_US
dc.identifier.citationInternational Journal of Operational Research. Vol.38, No.3 (2020), 403-421en_US
dc.identifier.doi10.1504/IJOR.2020.107540en_US
dc.identifier.issn17457653en_US
dc.identifier.issn17457645en_US
dc.identifier.other2-s2.0-85086044071en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/57846
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85086044071&origin=inwarden_US
dc.subjectDecision Sciencesen_US
dc.titleApplication of a genetic algorithm for multi-item inventory lot-sizing with supplier selection under quantity discount and lead timeen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85086044071&origin=inwarden_US

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