Closed-loop supply chain optimization with vehicle routing problem for gallon water distribution

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

1 Citation (Scopus)

Abstract

The consumption level of gallon water is very high, thus makes the product distribution activities from the company to the customers is the most important aspect. Gallon water has its uniqueness, where empty gallons from customers will be taken back to the company by the vehicles. Distribution systems with this situation is called Closed-loop Supply Chain. To solve the distribution system, the Vehicle Routing Problem with Simultaneous Delivery and Pick-up (VRPSDP) method is used for determining the best route taken by the vehicle in distributing gallon water with the shortest total travel distance. This study presents a comparison results between VRPSDP optimization using two different algorithms, Local Solver algorithm and Simulated Annealing algorithm. VRPSDP is a variant of the problem of Vehicle Routing Problem (VRP) which calculate the entities that must be taken back from customers to depot. The optimization model is built by making computer programming model by using LocalSolver library. The result of this study is the model for determining local optimal solution for Closed-loop Supply Chain distribution route.

Original languageEnglish
Title of host publicationICIBE 2018 - 2018 4th International Conference on Industrial and Business Engineering
PublisherAssociation for Computing Machinery
Pages104-108
Number of pages5
ISBN (Electronic)9781450365574
DOIs
Publication statusPublished - 24 Oct 2018
Event4th International Conference on Industrial and Business Engineering, ICIBE 2018 - Macau, Macao
Duration: 24 Oct 201826 Oct 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Industrial and Business Engineering, ICIBE 2018
Country/TerritoryMacao
CityMacau
Period24/10/1826/10/18

Keywords

  • Closed-loop Supply Chain
  • Local Solver
  • Logistic
  • Optimization
  • Simulated Annealing
  • Vehicle Routing Problem with Simultaneous Delivery and Pick-up

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