Novel approach to optimize milk-run delivery: A case study

T. H.D. Nguyen, T. M. Dao

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

10 Citations (Scopus)

Abstract

This article proposes a new approach to optimize a milk-run delivery in supply chain (SC) which was introduced by Zhou and Kelin (2011). These authors particularly formulated the mathematical model of SC total cost at operational level for milk-run delivery and used Ant Colony Optimization (ACO) to find out the results in one specific case study. Yet, the solution found by this Meta-Heuristics did not obtain optimal values. Hence, to improve the solution, the paper presents one new method namely Hybrid Ant Colony Optimization and Tabu Search (HAT). To qualify new method, Tabu Search (TS) is taken into account in testing stage. With the same data in the case study and random data, the new method outperforms the original and TS regarding SC total cost and milk-run distance.

Original languageEnglish
Title of host publicationIEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages351-355
Number of pages5
ISBN (Electronic)9781467380669
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventIEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2015 - Singapore, Singapore
Duration: 6 Dec 20159 Dec 2015
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7378213

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2015
Abbreviated titleIEEM 2015
Country/TerritorySingapore
CitySingapore
Period6/12/159/12/15
Internet address

Keywords

  • Hybrid Ant Colony Optimization-Tabu Search
  • Milk-run delivery
  • Supply chain management

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