TY - JOUR
T1 - A memetic algorithm for bi-objective integrated forward/reverse logistics network design
AU - Pishvaee, Mir Saman
AU - Farahani, Reza Zanjirani
AU - Dullaert, Wout
PY - 2010/6
Y1 - 2010/6
N2 - Logistics network design is a major strategic issue due to its impact on the efficiency and responsiveness of the supply chain. This paper proposes a model for integrated logistics network design to avoid the sub-optimality caused by a separate, sequential design of forward and reverse logistics networks. First, a bi-objective mixed integer programming formulation is developed to minimize the total costs and maximize the responsiveness of a logistics network. To find the set of non-dominated solutions, an efficient multi-objective memetic algorithm is developed. The proposed solution algorithm uses a new dynamic search strategy by employing three different local searches. To assess the quality of the novel solution approach, the quality of its Pareto-optimal solutions is compared to those generated by an existing powerful multi-objective genetic algorithm from the recent literature and to exact solutions obtained by a commercial solver.
AB - Logistics network design is a major strategic issue due to its impact on the efficiency and responsiveness of the supply chain. This paper proposes a model for integrated logistics network design to avoid the sub-optimality caused by a separate, sequential design of forward and reverse logistics networks. First, a bi-objective mixed integer programming formulation is developed to minimize the total costs and maximize the responsiveness of a logistics network. To find the set of non-dominated solutions, an efficient multi-objective memetic algorithm is developed. The proposed solution algorithm uses a new dynamic search strategy by employing three different local searches. To assess the quality of the novel solution approach, the quality of its Pareto-optimal solutions is compared to those generated by an existing powerful multi-objective genetic algorithm from the recent literature and to exact solutions obtained by a commercial solver.
KW - Closed loop supply chain network
KW - Integrated logistics network
KW - Memetic algorithm
KW - Multi-objective optimization
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U2 - 10.1016/j.cor.2009.09.018
DO - 10.1016/j.cor.2009.09.018
M3 - Article
AN - SCOPUS:71749118341
SN - 0305-0548
VL - 37
SP - 1100
EP - 1112
JO - Computers and Operations Research
JF - Computers and Operations Research
IS - 6
ER -