Optimization of facility location problem in reverse logistics network using Artificial Bee Colony algorithm

Abstract

The management of used products attracts an increasing attention, which brings out the concept of Reverse Logistics. Reverse logistics is the reverse flow of surplus material back to the firm for reuse, repair, remanufacturing, recycling, and disposal of used products. In this research, we use the Artificial Bee Colony (ABC) algorithm to solve the location and allocation problems of collection centers with the goal of minimizing total logistics costs. The performance of ABC algorithm is illustrated in our numerical experiments, which prove it is effective and efficient to handle the design of reverse logistics network. Our research provides useful insights of adopting of ABC algorithm for the optimization problems with multiple constrains.