A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks

Applied Mathematical Modelling - Tập 39 Số 14 - Trang 3990-4012 - 2015
Hamed Soleimani1, Kannan Govindan2
1Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University (IAU), Qazvin, Iran
2Dept. of Bus. & Econ., Univ. of Southern Denmark, Odense, Denmark

Tóm tắt

Từ khóa


Tài liệu tham khảo

Winkler, 2011, Closed-loop production systems—a sustainable supply chain approach, CIRP J. Manuf. Sci. Technol., 4, 243, 10.1016/j.cirpj.2011.05.001

Beamon, 1999, Designing the green supply chain, Logistics Inf. Manage., 12, 332, 10.1108/09576059910284159

Chopra, 2007

Krarup, 1983, The simple plant location problem: survey and synthesis, Eur. J. Oper. Res., 12, 36, 10.1016/0377-2217(83)90181-9

Schrijver, 2003

Gomes Salema, 2006, An integrated model for the design and planning of supply chains with product return, Comput. Aided Chem. Eng., 21, 2129, 10.1016/S1570-7946(06)80363-9

Gomes Salema, 2007, An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty, Eur. J. Oper. Res., 179, 1063, 10.1016/j.ejor.2005.05.032

Amaro, 2007, Optimal planning of closed loop supply chains: a discrete versus a continuous-time formulation, Comput. Aided Chem. Eng., 24, 673, 10.1016/S1570-7946(07)80135-0

Amaro, 2006, Close loop supply chains: managing product recovery portfolio, Comput. Aided Chem. Eng., 21, 1875, 10.1016/S1570-7946(06)80321-4

Kusumastuti, 2008, Redesigning closed-loop service network at a computer manufacturer: a case study, Int. J. Prod. Econ., 111, 244, 10.1016/j.ijpe.2006.10.016

Zhou, 2008, Generic model of reverse logistics network design, J. Transp. Syst. Eng. Inf. Technol., 8, 71

Amaro, 2009, The effect of uncertainty on the optimal closed-loop supply chain planning under different partnerships structure, Comput. Chem. Eng., 33, 2144, 10.1016/j.compchemeng.2009.06.003

Mutha, 2009, Strategic network design for reverse logistics and remanufacturing using new and old product modules, Comput. Ind. Eng., 56, 334, 10.1016/j.cie.2008.06.006

Gomes Salema, 2010, Simultaneous design and planning of supply chains with reverse flows: a generic modelling framework, Eur. J. Oper. Res., 203, 336, 10.1016/j.ejor.2009.08.002

Pishvaee, 2009, A stochastic optimization model for integrated forward/reverse logistics network design, J. Manuf. Syst., 28, 107, 10.1016/j.jmsy.2010.05.001

Li, 2009, Robust supply chain performance via model predictive control, Comput. Chem. Eng., 33, 2134, 10.1016/j.compchemeng.2009.06.029

El-Sayed, 2010, A stochastic model for forward–reverse logistics network design under risk, Comput. Ind. Eng., 58, 423, 10.1016/j.cie.2008.09.040

Georgiadis, 2013, An integrated system dynamics model for strategic capacity planning in closed-loop recycling networks: a dynamic analysis for the paper industry, Simul. Model. Pract. Theory, 32, 116, 10.1016/j.simpat.2012.11.009

Besiou, 2012, Official recycling and scavengers: Symbiotic or conflicting?, Eur. J. Oper. Res., 218, 563, 10.1016/j.ejor.2011.11.030

Georgiadis, 2010, The impact of two-product joint lifecycles on capacity planning of remanufacturing networks, Eur. J. Oper. Res., 202, 420, 10.1016/j.ejor.2009.05.022

Georgiadis, 2006, The impact of product lifecycle on capacity planning of closed-loop supply chains with remanufacturing, Prod. Oper. Manage., 15, 514, 10.1111/j.1937-5956.2006.tb00160.x

Georgiadis, 2013, Flexible long-term capacity planning in closed-loop supply chains with remanufacturing, Eur. J. Oper. Res., 225, 44, 10.1016/j.ejor.2012.09.021

Kannan, 2009, Analysis of closed loop supply chain using genetic algorithm and particle swarm optimization, Int. J. Prod. Res., 47, 1175, 10.1080/00207540701543585

Kannan, 2010, A genetic algorithm approach for solving a closed loop supply chain model: a case of battery recycling, Appl. Math. Model., 34, 655, 10.1016/j.apm.2009.06.021

Wang, 2010, A closed-loop logistic model with a spanning tree based genetic algorithm, Comput. Oper. Res., 37, 376, 10.1016/j.cor.2009.06.001

Dehghanian, 2009, Designing sustainable recovery network of end-of-life products using genetic algorithm, Resour. Conserv. Recycl., 53, 559, 10.1016/j.resconrec.2009.04.007

Pishvaee, 2010, A memetic algorithm for bi-objective integrated forward/reverse logistics network design, Comput. Oper. Res., 37, 1100, 10.1016/j.cor.2009.09.018

Lee, 2008, A heuristic approach to logistics network design for end-of-lease computer products recovery, Transp. Res. E Logistics Transp. Rev., 44, 455, 10.1016/j.tre.2006.11.003

Özkir, 2013, Multi-objective optimization of closed-loop supply chains in uncertain environment, J. Cleaner Prod., 41, 114, 10.1016/j.jclepro.2012.10.013

Özceylan, 2013, A mixed integer programming model for a closed-loop supply chain network, Int. J. Prod. Res., 51, 718, 10.1080/00207543.2012.661090

Ramezani, 2013, A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level, Appl. Math. Model., 37, 328, 10.1016/j.apm.2012.02.032

Amin, 2012, An integrated model for closed-loop supply chain configuration and supplier selection: multi-objective approach, Expert Syst. Appl., 39, 6782, 10.1016/j.eswa.2011.12.056

Wang, 2011, Optimum policy in hybrid manufacturing/remanufacturing system, Comput. Ind. Eng., 60, 411, 10.1016/j.cie.2010.05.002

Paksoy, 2011, Operational and environmental performance measures in a multi-product closed-loop supply chain, Transp. Res. E, 47, 532, 10.1016/j.tre.2010.12.001

Qiang, 2013, The closed-loop supply chain network with competition, distribution channel investment, and uncertainties, Omega, 41, 186, 10.1016/j.omega.2011.08.011

Khajavi, 2011, An integrated forward/reverse logistics network optimization model for multi-stage capacitated supply chain, iBusiness, 3, 229, 10.4236/ib.2011.32030

J. Kennedy, R.C. Eberhart, Particle swarm optimization, in: 1995 IEEE International Conference on Neural Networks, Proceedings, vol. 4, 1995, pp. 1942–1948.

Holland, 1992

Hartl, 1990

Radcliffe, 1993, Genetic set recombination, Found. Genet. Algorithms, 2, 203

Bean, 1994, Genetics and random keys for sequencing and optimization, ORSA J. Comput., 6, 154, 10.1287/ijoc.6.2.154

Özceylan, 2013, Fuzzy multi objective linear programming approach for optimizing a closed-loop supply chain network, Int. J. Prod. Res., 51, 2443, 10.1080/00207543.2012.740579

Wang, 2013

H. Metta, F. Badurdeen, Optimized closed-loop supply chain configuration selection for sustainable product designs, in: IEEE Conference on Automation Science and Engineering (CASE), 2011, pp. 438–443.

Soleimani, 2013, Designing and planning a multi-echelon multi-period multi-product closed-loop supply chain utilizing genetic algorithm, Int. J. Adv. Manuf. Technol., 68, 917, 10.1007/s00170-013-4953-6

Zhou, 2012, Remanufacturing closed-loop supply chain network design based on genetic particle swarm optimization algorithm, J. Central South Univ. Technol., 19, 482, 10.1007/s11771-012-1029-y

Amin, 2013, A multi objective facility location model for closed-loop supply chain network under uncertain demand and return, Appl. Math. Model., 37, 4165, 10.1016/j.apm.2012.09.039

Choi, 2013, Channel leadership, performance and coordination in closed-loop supply chains, Int. J. Prod. Econ., 146, 371, 10.1016/j.ijpe.2013.08.002

Miller, 1996, Genetic algorithms, tournament selection, and the effects of noise, Evol. Comput., 4, 113, 10.1162/evco.1996.4.2.113

Vose, 1991, Generalizing the notion of schema in genetic algorithms, Artif. Intell., 50, 385, 10.1016/0004-3702(91)90019-G

Koza, 1994, Genetic programming: II: Automatic discovery of reusable programs, Artif. Life, 1, 439, 10.1162/artl.1994.1.4.439

Reeves, 1993

M. Mitchell, An introduction to genetic algorithms, Cambridge, Massachusetts London, England, Fifth printing, vol. 3, 1999.

Baeck, 1997

Guang-Min, 2005, Genetic algorithms for solving linear bilevel programming, 920

Du, 2006, A learning algorithm of artificial neural network based on GA–PSO, vol. 1, 3633

Kuo, 2011, A hybrid of genetic algorithm and particle swarm optimization for solving bi-level linear programming problem – a case study on supply chain model, Appl. Math. Model., 35, 3905, 10.1016/j.apm.2011.02.008