JIITA, vol. 1, no. 2, pp.24-28, Sep, 2017
Optimization of Integrated Logistics Network Model with Location and Allocation Problems
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