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

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

Copyright © 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 prop...

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Main Authors: Sunan Klinmalee, Thanakorn Naenna, Chirawat Woarawichai
Other Authors: Rajamangala University of Technology Krungthep
Format: Article
Published: 2020
Subjects:
Decision Sciences
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/57846
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spelling th-mahidol.578462020-08-25T16:39:53Z Application of a genetic algorithm for multi-item inventory lot-sizing with supplier selection under quantity discount and lead time Sunan Klinmalee Thanakorn Naenna Chirawat Woarawichai Rajamangala University of Technology Krungthep Mahidol University Decision Sciences Copyright © 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. 2020-08-25T09:39:53Z 2020-08-25T09:39:53Z 2020-01-01 Article International Journal of Operational Research. Vol.38, No.3 (2020), 403-421 10.1504/IJOR.2020.107540 17457653 17457645 2-s2.0-85086044071 https://repository.li.mahidol.ac.th/handle/123456789/57846 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85086044071&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Decision Sciences
spellingShingle Decision Sciences
Sunan Klinmalee
Thanakorn Naenna
Chirawat Woarawichai
Application of a genetic algorithm for multi-item inventory lot-sizing with supplier selection under quantity discount and lead time
description Copyright © 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.
author2 Rajamangala University of Technology Krungthep
author_facet Rajamangala University of Technology Krungthep
Sunan Klinmalee
Thanakorn Naenna
Chirawat Woarawichai
format Article
author Sunan Klinmalee
Thanakorn Naenna
Chirawat Woarawichai
author_sort Sunan Klinmalee
title Application of a genetic algorithm for multi-item inventory lot-sizing with supplier selection under quantity discount and lead time
title_short Application of a genetic algorithm for multi-item inventory lot-sizing with supplier selection under quantity discount and lead time
title_full Application of a genetic algorithm for multi-item inventory lot-sizing with supplier selection under quantity discount and lead time
title_fullStr Application of a genetic algorithm for multi-item inventory lot-sizing with supplier selection under quantity discount and lead time
title_full_unstemmed Application of a genetic algorithm for multi-item inventory lot-sizing with supplier selection under quantity discount and lead time
title_sort application of a genetic algorithm for multi-item inventory lot-sizing with supplier selection under quantity discount and lead time
publishDate 2020
url https://repository.li.mahidol.ac.th/handle/123456789/57846
_version_ 1763492827870789632

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