@inproceedings{a838e5b35aab44b4be59870a1588a233,
title = "Meta-heuristic method for solving bulk oil product logistic in Inventory Routing Problem: Partial comparison optimization",
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.",
keywords = "IRP, Meta-heuristic, Optimization",
author = "Antono Adhi and Budi Santosa and Nurhadi Siswanto",
note = "Publisher Copyright: {\textcopyright} IEOM Society International.; 8th International Conference on Industrial Engineering and Operations Management, IEOM 2018 ; Conference date: 06-03-2018 Through 08-03-2018",
year = "2018",
language = "English",
isbn = "9781532359446",
series = "Proceedings of the International Conference on Industrial Engineering and Operations Management",
publisher = "IEOM Society",
pages = "2521--2525",
booktitle = "Proceedings of the International Conference on Industrial Engineering and Operations Management, IEOM 2018",
}