JIITA

Optimization of Integrated Logistics Network Model with Location and Allocation Problems

JIITA, vol. 1, no. 2, pp.24-28, Sep, 2017

DOI: 10.22664/ISITA.2017.1.2.24

Optimization of Integrated Logistics Network Model with Location and Allocation Problems

YoungSu Yun
Department of Business Administration, Chosun University, Gwangju, South Korea

Abstract: In this paper, an integrated logistics network model with lo-cation and allocation problem (ILN-LA) is designed. The ILN-LA which is composed forward and reverse logistics is represented by a nonlinear mixed integer programming (NMIP). The objective of the NMIP is to maximize the total profit resulting from the implementation of the ILN-LA. A hybrid genetic algorithm (HGA) approach is applied to solve the NMIP. In numerical experiment, three scales of the ILN-LA are presented and their NMIPs are solved using the HGA approach and some conventional approaches. Experimental results show that the HGA approach outperforms the others.

Keyword:  Integrated logistics network model; Location and allocation; Hybrid genetic algorithm; Forward logistics; Backward logistics

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