Mixed Integer Linear Programming Models for Improving the Performance of Logistics Networks

UNIVERSITAS BINA DARMA, UNIVERSITAS BINA DARMA (2022) Mixed Integer Linear Programming Models for Improving the Performance of Logistics Networks. Mixed Integer Linear Programming Models for Improving the Performance of Logistics Networks.

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Abstract

The role of logistics nowadays is expanding from just providing transportation and warehousing to offering total integrated logistics. To remain competitive in the global market environment, business enterprises need to improve their logistics operations performance. Improvements can be achieved through a comprehensive analysis and optimisation of the logistics networks performance. In this paper, a mixed integer linear programming model for optimizing logistics network performance is developed. We consider a single-product, multi-period, multi-facilities network, as well as the multi-product network. The problem is modeled in form of a network flow problem with the main objective being to minimize total logistics cost. The problem is solved using commercial linear programming package, CPLEX ver. 9.0.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mr Edi Surya Negara
Date Deposited: 23 Jun 2022 02:09
Last Modified: 23 Jun 2022 02:09
URI: http://eprints.binadarma.ac.id/id/eprint/14742

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