TY - JOUR
T1 - Fast heuristics for designing integrated e-waste reverse logistics networks
AU - Wang, I. Lin
AU - Yang, Wen Cheng
N1 - 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: [email protected]). 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
PY - 2007/7
Y1 - 2007/7
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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U2 - 10.1109/TEPM.2007.899112
DO - 10.1109/TEPM.2007.899112
M3 - Article
AN - SCOPUS:54249126315
SN - 1521-334X
VL - 30
SP - 147
EP - 154
JO - IEEE Transactions on Electronics Packaging Manufacturing
JF - IEEE Transactions on Electronics Packaging Manufacturing
IS - 2
ER -