Fast heuristics for designing integrated e-waste reverse logistics networks

I. Lin Wang; Wen Cheng Yang

doi:10.1109/TEPM.2007.899112

Fast heuristics for designing integrated e-waste reverse logistics networks

I. Lin Wang, Wen Cheng Yang

Department of Industrial and Information Management

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

This paper investigates a mixed-integer linear programing model that solves an integrated facility location and configuration problem for recycling electronic waste (e-waste). Since different recycled e-waste consume different levels of recycling processes and resources, the capability of processing only one or more categories of recycled e-waste for each candidate facility is considered in addition to its location to maximize the total revenue. Computational experiments based on proposed heuristics are conducted using data collected from Taiwan's recycled e-waste market and show our proposed methods give a high-quality near-optimal solution in a promising time shorter than previous solution methods and CPLEX.

Original language	English
Pages (from-to)	147-154
Number of pages	8
Journal	IEEE Transactions on Electronics Packaging Manufacturing
Volume	30
Issue number	2
DOIs	https://doi.org/10.1109/TEPM.2007.899112
Publication status	Published - 2007 Jul

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1109/TEPM.2007.899112

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title = "Fast heuristics for designing integrated e-waste reverse logistics networks",

abstract = "This paper investigates a mixed-integer linear programing model that solves an integrated facility location and configuration problem for recycling electronic waste (e-waste). Since different recycled e-waste consume different levels of recycling processes and resources, the capability of processing only one or more categories of recycled e-waste for each candidate facility is considered in addition to its location to maximize the total revenue. Computational experiments based on proposed heuristics are conducted using data collected from Taiwan's recycled e-waste market and show our proposed methods give a high-quality near-optimal solution in a promising time shorter than previous solution methods and CPLEX.",

author = "Wang, {I. Lin} and Yang, {Wen Cheng}",

note = "Funding Information: Manuscript received April 16, 2006; revised June 25, 2006. This work was supported in part by the NSC under Grant 93-2213-E-006-096. I-L Wang is with the Department of Industrial and Information Management, National Cheng Kung University, Tainan 701, Taiwan, R.O.C. (e-mail: ilin-wang@mail.ncku.edu.tw). W-C Yang is with the Cell Manufacturing Support Section, Hannstar Display Corporation, Tainan County 741, Taiwan, R.O.C. Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TEPM.2007.899112",

year = "2007",

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AU - Yang, Wen Cheng

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N2 - This paper investigates a mixed-integer linear programing model that solves an integrated facility location and configuration problem for recycling electronic waste (e-waste). Since different recycled e-waste consume different levels of recycling processes and resources, the capability of processing only one or more categories of recycled e-waste for each candidate facility is considered in addition to its location to maximize the total revenue. Computational experiments based on proposed heuristics are conducted using data collected from Taiwan's recycled e-waste market and show our proposed methods give a high-quality near-optimal solution in a promising time shorter than previous solution methods and CPLEX.

AB - This paper investigates a mixed-integer linear programing model that solves an integrated facility location and configuration problem for recycling electronic waste (e-waste). Since different recycled e-waste consume different levels of recycling processes and resources, the capability of processing only one or more categories of recycled e-waste for each candidate facility is considered in addition to its location to maximize the total revenue. Computational experiments based on proposed heuristics are conducted using data collected from Taiwan's recycled e-waste market and show our proposed methods give a high-quality near-optimal solution in a promising time shorter than previous solution methods and CPLEX.

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Fast heuristics for designing integrated e-waste reverse logistics networks

Abstract

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