2008•Unpublished venueRequires access

Modeling for Facility Location Optimization of Spent Computers' Reverse Logistics

Zhaohua Wang, Jianhua Yin

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Abstract

In spent computers reverse logistics, an important planning problem is the location optimization of landfills or treatment facilities for recovering/reusing used products or materials. Combining with the spent computers' taking-back characteristics, after a brief introduction to the basic concepts of reverse logistics, we present a two-level location problem with three types of facility to be located in a specific reverse logistics system. For this problem, we propose a 0-1 mixed integer programming model. Then, an algorithm based on Lagrangian heuristics is developed. Finally, it takes Tai'an city in Shandong Province in China as a case to prove the availability of the model.

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What this paper is about

In spent computers reverse logistics, an important planning problem is the location optimization of landfills or treatment facilities for recovering/reusing used products or materials. Combining with the spent computers' taking-back characteristics, after a brief introduction to the basic concepts of reverse logistics, we present a two-level location problem with three types of facility to be located in a specific reverse logistics system. For this problem, we propose a 0-1 mixed integer programming model. Then, an algorithm based on Lagrangian heuristics is developed. Finally, it takes Tai'an city in Shandong Province in China as a case to prove the availability of the model.

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Available abstract

In spent computers reverse logistics, an important planning problem is the location optimization of landfills or treatment facilities for recovering/reusing used products or materials. Combining with the spent computers' taking-back characteristics, after a brief introduction to the basic concepts of reverse logistics, we present a two-level location problem with three types of facility to be located in a specific reverse logistics system. For this problem, we propose a 0-1 mixed integer programming model. Then, an algorithm based on Lagrangian heuristics is developed. Finally, it takes Tai'an city in Shandong Province in China as a case to prove the availability of the model.

Key concepts: Reverse logistics, Facility location problem, Heuristics, Reuse, Computer science, Integer programming, Operations research, Mathematical optimization

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