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A profit maximization lot-sizing and supplier selection problem under price discount

  • Mahidol University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This research addresses the development of integrated inventory lot-sizing and supplier selection problem in supply chain management, in which a buyer firm that has limited budget and warehouse space wants to procure multiple products from a group of potential suppliers and sell to their customer. In particular, the suppliers may provide different quantity discount scheme, ordering cost, and transportation cost. The problem is modelled as mixed integer linear programming (MILP) by incorporating quantity discount. To overcome the large scale problem, Genetic Algorithm (GA) is developed in next phase. The comparison was conducted on both MILP and GA. The results showed that GA has better performance in term of solution feasibility and computational time.

Original languageEnglish
Title of host publicationKST 2020 - 2020 12th International Conference on Knowledge and Smart Technology
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-29
Number of pages6
ISBN (Electronic)9781728144665
DOIs
Publication statusPublished - Jan 2020
Event12th International Conference on Knowledge and Smart Technology, KST 2020 - Pattaya, Chonburi, Thailand
Duration: 29 Jan 2020 → 1 Feb 2020

Publication series

NameKST 2020 - 2020 12th International Conference on Knowledge and Smart Technology

Conference

Conference12th International Conference on Knowledge and Smart Technology, KST 2020
Country/TerritoryThailand
CityPattaya, Chonburi
Period29/01/20 → 1/02/20

Keywords

  • Genetic algorithm
  • Inventory lot-sizing
  • Net revenue
  • Optimization
  • Supplier selection

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