Meta-heuristic method for solving bulk oil product logistic in Inventory Routing Problem: Partial comparison optimization

Antono Adhi*, Budi Santosa, Nurhadi Siswanto

*Corresponding author for this work

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

Abstract

Activities in the Inventory Routing Problem (IRP) relate to the repeated delivery of a product from one facility to multiple destination sources. Logistics of bulk oil product shipments are part of the IRP. The transport process in the logistics of bulk oil products through the sea lane is very complex because it must consider the inventory level of destination ports. The optimization process is carried out to avoid stockouts at the destination port while keeping track of the smallest freight and waiting times of the vessel. Problems in IRP include NP-Hard. The exact method used to solve it is by the meta-heuristic method. The Partial Comparison Optimization (PCO) algorithm is a new method developed to solve bulk oil logistics optimization problems. This algorithm is effective enough to get optimum bulk oil product logistic in IRP.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Industrial Engineering and Operations Management, IEOM 2018
PublisherIEOM Society
Pages2521-2525
Number of pages5
ISBN (Print)9781532359446
Publication statusPublished - 2018
Event8th International Conference on Industrial Engineering and Operations Management, IEOM 2018 - Bandung, Indonesia
Duration: 6 Mar 20188 Mar 2018

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
Volume2018-March
ISSN (Electronic)2169-8767

Conference

Conference8th International Conference on Industrial Engineering and Operations Management, IEOM 2018
Country/TerritoryIndonesia
CityBandung
Period6/03/188/03/18

Keywords

  • IRP
  • Meta-heuristic
  • Optimization

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