M. Ilgin and S. Gupta, Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art, Journal of Environmental Management, vol.91, issue.3, pp.563-91, 2010.
DOI : 10.1016/j.jenvman.2009.09.037

M. Bentaha, O. Battaia, A. Dolgui, and S. Hu, Dealing with uncertainty in disassembly line design, CIRP Annals, vol.63, issue.1, pp.21-25, 2014.
DOI : 10.1016/j.cirp.2014.03.004
URL : https://hal.archives-ouvertes.fr/hal-01963440

M. Bentaha, O. Battaia, and A. Dolgui, Disassembly Line Balancing and Sequencing under Uncertainty, Procedia CIRP, vol.15, pp.239-283, 2014.
DOI : 10.1016/j.procir.2014.06.016
URL : https://hal.archives-ouvertes.fr/emse-01011304

M. Bentaha, O. Battaia, and A. Dolgui, Lagrangian Relaxation for Stochastic Disassembly Line Balancing Problem, Procedia CIRP, vol.17, pp.56-60, 2014.
DOI : 10.1016/j.procir.2014.02.049
URL : https://hal.archives-ouvertes.fr/emse-01052948

S. Gupta and K. Taleb, An algorithm to disassemble multiple product structures with multiple occurrence of parts, Proceedings of the International Seminar on Reuse, pp.153-62, 1996.

K. Taleb and S. Gupta, Disassembly of multiple product structures, Computers & Industrial Engineering, vol.32, issue.4, pp.949-61, 1997.
DOI : 10.1016/S0360-8352(97)00023-5

I. Zeid, S. Gupta, and T. Bardasz, A case-based reasoning approach to planning for disassembly, Journal of Intelligent Manufacturing, vol.8, issue.2, pp.97-106, 1997.
DOI : 10.1023/A:1018500603358

E. Kongar and S. Gupta, A goal programming approach to the remanufacturing supply chain model, Proceedings of the SPIE International Conference on Environmentally Conscious Manufacturing, pp.167-78, 2000.

S. Gupta and P. Veerakamolmal, A case-based reasoning approach for optimal planning of multi-product/multi-manufacturer disassembly processes, Int J Environ Conscious Des Manuf, vol.9, pp.15-25, 2000.

P. Veerakamolmal and S. Gupta, A case-based reasoning approach for automating disassembly process planning, Journal of Intelligent Manufacturing, vol.13, issue.1, pp.47-60, 2002.
DOI : 10.1023/A:1013629013031

E. Kongar, S. Gupta, and Y. Turki, A fuzzy goal programming approach to disassembly planning. In: The 6th Saudi Engineering Conference, pp.561-79, 2002.

A. Lambert and S. Gupta, Disassembly modeling for assembly, maintenance, reuse, and recycling, 2005.

P. Imtanavanich and S. Gupta, Weighted fuzzy goal programming approach for a disassembly-to-order system, Proceedings of the 2005 POMS-Boston Meeting, 2005.

P. Imtanavanich and S. Gupta, Calculating disassembly yields in a multicriteria decision-making environment for a disassembly-to-order system Applications of management science: in productivity, finance, and operations, pp.109-134, 2006.

P. Imtanavanich and S. Gupta, Evolutionary computation with linear physical programming for solving a disassembly-to-order system, Environmentally Conscious Manufacturing VI, pp.30-41, 2006.
DOI : 10.1117/12.686269

P. Imtanavanich and S. Gupta, Linear physical programming approach for a disassembly-to-order system under stochastic yields and product's deterioration, Proceedings of the 2006 POMS Meeting, pp.4-213, 2006.
DOI : 10.1117/12.572060

P. Imtanavanich and S. Gupta, Solving a disassembly-to-order system by using genetic algorithm and weighted fuzzy goal programming, Environmentally Conscious Manufacturing VI, pp.54-60, 2006.
DOI : 10.1117/12.686263

S. Mcgovern and S. Gupta, Ant colony optimization for disassembly sequencing with multiple objectives, The International Journal of Advanced Manufacturing Technology, vol.35, issue.3, pp.481-96, 2006.
DOI : 10.1109/3477.484436

I. Langella, Heuristics for demand-driven disassembly planning, Computers & Operations Research, vol.34, issue.2, pp.552-77, 2007.
DOI : 10.1016/j.cor.2005.03.013

S. Mcgovern and S. Gupta, A balancing method and genetic algorithm for disassembly line balancing, European Journal of Operational Research, vol.179, issue.3, pp.692-708, 2007.
DOI : 10.1016/j.ejor.2005.03.055

S. Agrawal and M. Tiwari, A collaborative ant colony algorithm to stochastic mixed-model U-shaped disassembly line balancing and sequencing problem, International Journal of Production Research, vol.46, issue.6
DOI : 10.1007/s00170-003-1590-5

, Int J Prod Res, vol.46, pp.1405-1434, 2008.

S. Mcgovern and S. Gupta, Lexicographic Goal Programming and Assessment Tools for a Combinatorial Production Problem, In: Bui LT
DOI : 10.4018/978-1-59904-498-9.ch006

, Multi-objective optimization in computational intelligence: theory and practice . IGI Global, pp.148-84, 2008.

C. Lu, H. Huang, J. Fuh, and Y. Wong, A multi-objective disassembly planning approach with ant colony optimization algorithm, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol.17, issue.3, pp.1465-74, 2008.
DOI : 10.1016/S0007-8506(07)61140-8

E. Kongar and S. Gupta, Solving the disassembly-to-order problem using linear physical programming, International Journal of Mathematics in Operational Research, vol.1, issue.4, pp.504-535, 2009.
DOI : 10.1504/IJMOR.2009.026279

A. Xanthopoulos and E. Iakovou, On the optimal design of the disassembly and recovery processes, Waste Management, vol.29, issue.5, pp.1702-1713, 2009.
DOI : 10.1016/j.wasman.2008.11.009

L. Ding, Y. Feng, J. Tan, and Y. Gao, A new multi-objective ant colony algorithm for solving the disassembly line balancing problem, The International Journal of Advanced Manufacturing Technology, vol.30, issue.3, pp.761-71, 2010.
DOI : 10.1007/s00170-009-2303-5

L. Ding, W. Chen, J. Tan, and Y. Feng, Multi-objective disassembly line balancing via modified ant colony optimization algorithm, Proceedings of the 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, pp.426-456, 2010.

A. Massoud and S. Gupta, Linear physical programming for solving the multi-criteria disassembly-to-order problem under stochastic yields, limited supply, and quantity discount, Proceedings of 2010 Northeast Decision Sciences Institute Conference, pp.474-483, 2010.

A. Massoud and S. Gupta, Preemptive goal programming for solving the multi-criteria disassembly-to-order problem under stochastic yields, limited supply, and quantity discount, Proceedings of the 2010 Northeast Decision Sciences Institute Conference, pp.415-435, 2010.

E. Kongar and S. Gupta, A MULTI-CRITERIA DECISION MAKING APPROACH FOR DISASSEMBLY-TO-ORDER SYSTEMS, Journal of Electronics Manufacturing, vol.47, issue.3, pp.171-83, 2002.
DOI : 10.1287/mnsc.1.2.138

O. Ondemir and S. Gupta, Order-driven component and product recovery for Sensor-embedded Products (SEPS) using linear physical programming, Proceedings of the 41st International Conference on Computers & Industrial Engineering, 2011.

X. Guo, S. Liu, D. Wang, and C. Hou, An improved multi-objective scatter search approach for solving selective disassembly optimization problem, Proceedings of the 31st Chinese Control Conference, pp.7703-7711, 2012.

H. Wang, Z. Che, and C. Chiang, A hybrid genetic algorithm for multi-objective product plan selection problem with ASP and ALB, Expert Systems with Applications, vol.39, issue.5, pp.5440-50, 2012.
DOI : 10.1016/j.eswa.2011.11.041

S. Avikal, P. Mishra, and R. Jain, An AHP and PROMETHEE methods-based environment friendly heuristic for disassembly line balancing problems, Interdisciplinary Environmental Review, vol.14, issue.1, pp.69-85, 2013.
DOI : 10.1504/IER.2013.054125

S. Avikal, P. Mishra, R. Jain, and H. Yadav, A PROMETHEE Method Based Heuristic for Disassembly Line Balancing Problem, Industrial Engineering and Management Systems, vol.12, issue.3, pp.254-63, 2013.
DOI : 10.7232/iems.2013.12.3.254

J. Rickli and J. Camelio, Multi-objective partial disassembly optimization based on sequence feasibility, Journal of Manufacturing Systems, vol.32, issue.1, pp.281-93, 2013.
DOI : 10.1016/j.jmsy.2012.11.005

A. Aydemir-karadag and O. Turkbey, Multi-objective optimization of stochastic disassembly line balancing with station paralleling, Computers & Industrial Engineering, vol.65, issue.3, pp.413-438, 2013.
DOI : 10.1016/j.cie.2013.03.014

S. Avikal, P. Mishra, and R. Jain, A Fuzzy AHP and PROMETHEE method-based heuristic for disassembly line balancing problems, International Journal of Production Research, vol.3, issue.1, pp.1306-1323, 2014.
DOI : 10.1016/S0278???6125(97)88465???8

R. Ghazilla, Z. Taha, S. Yusoff, S. Rashid, and N. Sakundarini, Development of decision support system for fastener selection in product recovery oriented design, The International Journal of Advanced Manufacturing Technology, vol.16, issue.1, pp.1403-1416, 2013.
DOI : 10.1016/S0360-8352(97)00207-6

C. Kalayci and S. Gupta, A particle swarm optimization algorithm with neighborhood-based mutation for sequence-dependent disassembly line balancing problem, The International Journal of Advanced Manufacturing Technology, vol.56, issue.1, pp.197-209, 2013.
DOI : 10.1117/12.577196

C. Kalayci and S. Gupta, Ant colony optimization for sequence???dependent disassembly line balancing problem, Journal of Manufacturing Technology Management, vol.24, issue.3, pp.413-440, 2013.
DOI : 10.1080/00207540500227612

C. Kalayci and S. Gupta, Artificial bee colony algorithm for solving sequence-dependent disassembly line balancing problem, Expert Systems with Applications, vol.40, issue.18, pp.7231-7272, 2013.
DOI : 10.1016/j.eswa.2013.06.067

C. Kalayci and S. Gupta, Balancing a sequence-dependent disassembly line using simulated annealing algorithm, Emerald: Appl Manag Sci, pp.81-103, 2013.
DOI : 10.1080/00207540110116273

C. Kalayci and S. Gupta, River formation dynamics approach for sequencedependent disassembly line balancing problem, Reverse supply chains, pp.289-312, 2013.

C. Kalayci and S. Gupta, A tabu search algorithm for balancing a sequence-dependent disassembly line, Production Planning & Control, vol.25, issue.2, pp.149-60, 2014.
DOI : 10.1016/j.rcim.2008.02.004

O. Ondemir and S. Gupta, A multi-criteria decision making model for advanced repair-to-order and disassembly-to-order system, European Journal of Operational Research, vol.233, issue.2, pp.408-427, 2014.
DOI : 10.1016/j.ejor.2013.09.003

O. Ondemir and S. Gupta, Quality management in product recovery using the Internet of Things: An optimization approach, Computers in Industry, vol.65, issue.3, pp.491-504, 2014.
DOI : 10.1016/j.compind.2013.11.006

K. Pochampally, S. Gupta, and S. Kamarthi, <title>Identification of potential recovery facilities for designing a reverse supply chain network using physical programming</title>, Environmentally Conscious Manufacturing III, pp.139-185, 2003.
DOI : 10.1117/12.516197

K. Pochampally and S. Gupta, A linear physical programming approach for designing a reverse supply chain, Proceedings of the Fifth International Conference on Operations and Quantitative Management, pp.261-270, 2004.

S. Gupta and S. Nukala, A fuzzy AHP-based approach for selecting potential recovery facilities in a closed loop supply chain, Proceedings of the SPIE International Conference on Environmentally Conscious Manufacturing V. 2005. p, pp.58-63

S. Nukala and S. Gupta, Strategic and tactical planning of a closed-loop supply chain network: a linear physical programming approach, Proceedings of the 2006 POMS Meeting, pp.4-210, 2006.

S. Nukala and S. Gupta, A fuzzy mathematical programming approach for supplier selection in a closed-loop supply chain network, Proceedings of the 2007 POMS-Dallas Meeting, 2007.

K. Pochampally and S. Gupta, A Multiphase Fuzzy Logic Approach to Strategic Planning of a Reverse Supply Chain Network, IEEE Transactions on Electronics Packaging Manufacturing, vol.31, issue.1, pp.72-82, 2008.
DOI : 10.1109/TEPM.2007.914229

K. Pochampally, S. Nukala, and S. Gupta, Quantitative decision-making techniques for reverse/closed-loop supply chain design, Environment conscious manufacturing, 2008.

G. Tuzkaya and B. Gulsun, Evaluating centralized return centers in a reverse logistics network: An integrated fuzzy multi-criteria decision approach, International Journal of Environmental Science & Technology, vol.181, issue.2, pp.339-52, 2008.
DOI : 10.1016/j.ejor.2006.07.003

F. Dehghanian and S. Mansour, Designing sustainable recovery network of end-of-life products using genetic algorithm, Resources, Conservation and Recycling, vol.53, issue.10, pp.559-70, 2009.
DOI : 10.1016/j.resconrec.2009.04.007

K. Pochampally, S. Gupta, and K. Govindan, Metrics for performance measurement of a reverse/closed-loop supply chain, International Journal of Business Performance and Supply Chain Modelling, vol.1, issue.1, pp.8-32, 2009.
DOI : 10.1504/IJBPSCM.2009.026263

K. Pochampally, S. Nukala, and S. Gupta, Strategic planning models for reverse and closed-loop supply chains, 2009.
DOI : 10.1201/9781420054798

T. Barker and Z. Zabinsky, A multicriteria decision making model for reverse logistics using analytical hierarchy process, Omega, vol.39, issue.5, pp.558-73, 2011.
DOI : 10.1016/j.omega.2010.12.002

G. Buyukozkan and C. Berkol, Designing a sustainable supply chain using an integrated analytic network process and goal programming approach in quality function deployment, Expert Syst Appl, vol.38, pp.13731-13779, 2011.

N. Harraz and N. Galal, Design of Sustainable End-of-life Vehicle recovery network in Egypt, Ain Shams Engineering Journal, vol.2, issue.3-4, pp.211-220, 2011.
DOI : 10.1016/j.asej.2011.09.006

A. Chaabane, A. Ramudhin, and M. Paquet, Designing supply chains with sustainability considerations, Production Planning & Control, vol.13, issue.8, pp.727-768, 2011.
DOI : 10.1111/j.1468-2370.2007.00202.x

P. Sasikumar and A. Haq, Integration of closed loop distribution supply chain network and 3PRLP selection for the case of battery recycling, International Journal of Production Research, vol.46, issue.11, pp.3363-85, 2011.
DOI : 10.1016/j.tre.2004.07.001

F. Wang, X. Lai, and N. Shi, A multi-objective optimization for green supply chain network design, Decision Support Systems, vol.51, issue.2, pp.262-271, 2011.
DOI : 10.1016/j.dss.2010.11.020

T. Paksoy, N. Pehlivan, and E. Ozceylan, Fuzzy Multi-Objective Optimization of a Green Supply Chain Network with Risk Management that Includes Environmental Hazards, Human and Ecological Risk Assessment: An International Journal, vol.159, issue.2, pp.1120-51, 2012.
DOI : 10.1016/j.tre.2006.06.003

R. Jamshidi, F. Ghomi, S. Karimi, and B. , Multi-objective green supply chain optimization with a new hybrid memetic algorithm using the Taguchi method, Scientia Iranica, vol.19, issue.6, pp.1876-86, 2012.
DOI : 10.1016/j.scient.2012.07.002

M. Ilgin and S. Gupta, Remanufacturing modeling and analysis, 2012.
DOI : 10.1201/b11778

K. Pochampally and S. Gupta, Use of linear physical programming and Bayesian updating for design issues in reverse logistics, International Journal of Production Research, vol.8, issue.2, pp.1349-59, 2012.
DOI : 10.1016/S0019-9958(65)90241-X

M. Mehrbod, N. Tu, L. Miao, and D. Wenjing, Interactive fuzzy goal programming for a multi-objective closed-loop logistics network, Annals of Operations Research, vol.1, issue.2, pp.367-81, 2012.
DOI : 10.1016/0165-0114(78)90031-3

M. Pishvaee and J. Razmi, Environmental supply chain network design using multi-objective fuzzy mathematical programming, Applied Mathematical Modelling, vol.36, issue.8, pp.3433-3479, 2012.
DOI : 10.1016/j.apm.2011.10.007
URL : https://doi.org/10.1016/j.apm.2011.10.007

F. Samanlioglu, A multi-objective mathematical model for the industrial hazardous waste location-routing problem, European Journal of Operational Research, vol.226, issue.2, pp.332-372, 2013.
DOI : 10.1016/j.ejor.2012.11.019

M. Ramezani, M. Bashiri, and R. Tavakkoli-moghaddam, A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level, Applied Mathematical Modelling, vol.37, issue.1-2, pp.328-372, 2013.
DOI : 10.1016/j.apm.2012.02.032

V. Özk?r and H. Bas¸l?gilbas¸bas¸l?gil, Multi-objective optimization of closed-loop supply chains in uncertain environment, Journal of Cleaner Production, vol.41, pp.114-139, 2013.
DOI : 10.1016/j.jclepro.2012.10.013

E. Ozceylan and T. Paksoy, Fuzzy multi-objective linear programming approach for optimising a closed-loop supply chain network, International Journal of Production Research, vol.12, issue.3, pp.2443-61, 2013.
DOI : 10.1007/s00170-011-3212-y

E. Ozceylan and T. Paksoy, A mixed integer programming model for a closed-loop supply-chain network, International Journal of Production Research, vol.45, issue.1, pp.718-752, 2013.
DOI : 10.1016/j.tre.2008.02.007

S. Shokohyar and S. Mansour, Simulation-based optimisation of a sustainable recovery network for Waste from Electrical and Electronic Equipment (WEEE), International Journal of Computer Integrated Manufacturing, vol.26, issue.6, pp.487-503, 2013.
DOI : 10.1016/j.scitotenv.2011.01.050

M. Ghorbani, S. Arabzad, and R. Tavakkoli-moghaddam, A multi-objective fuzzy goal programming model for reverse supply chain design, International Journal of Operational Research, vol.19, issue.2, pp.141-53, 2014.
DOI : 10.1504/IJOR.2014.058947

A. Mirakhorli, Fuzzy multi-objective optimization for closed loop logistics network design in bread-producing industries, The International Journal of Advanced Manufacturing Technology, vol.117, issue.1, pp.349-62, 2014.
DOI : 10.1002/9780470225868.ch14

K. Nurjanni, M. Carvalho, and L. Da-costa, Green supply chain design with multi-objective optimization, Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management, pp.488-97, 2014.

L. Wang, M. Tan, I. Chiang, Y. Chen, S. Lin et al., Genetic algorithm approach for multi-objective green supply chain design, Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management, pp.2960-2968, 2014.

L. Meade and J. Sarkis, A conceptual model for selecting and evaluating third???party reverse logistics providers, Supply Chain Management: An International Journal, vol.7, issue.5, pp.283-95, 2002.
DOI : 10.1080/10696679.1998.11501810

T. Efendigil, S. Onut, and E. Kongar, A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness, Computers & Industrial Engineering, vol.54, issue.2, pp.269-87, 2008.
DOI : 10.1016/j.cie.2007.07.009

G. Kannan, S. Pokharel, S. Kumar, and P. , A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider, Resources, Conservation and Recycling, vol.54, issue.1, pp.28-36, 2009.
DOI : 10.1016/j.resconrec.2009.06.004

R. Saen, A mathematical model for selecting third-party reverse logistics providers, International Journal of Procurement Management, vol.2, issue.2, pp.180-90, 2009.
DOI : 10.1504/IJPM.2009.023406

Y. Cheng and F. Lee, Outsourcing reverse logistics of high-tech manufacturing firms by using a systematic decision-making approach: TFT-LCD sector in Taiwan, Industrial Marketing Management, vol.39, issue.7, pp.1111-1120, 2010.
DOI : 10.1016/j.indmarman.2009.10.004

R. Saen, A new model for selecting third-party reverse logistics providers in the presence of multiple dual-role factors, The International Journal of Advanced Manufacturing Technology, vol.141, issue.3, pp.405-415, 2010.
DOI : 10.1007/s00170-009-2092-x

R. Saen, A DECISION MODEL FOR SELECTING THIRD-PARTY REVERSE LOGISTICS PROVIDERS IN THE PRESENCE OF BOTH DUAL-ROLE FACTORS AND IMPRECISE DATA, Asia-Pacific Journal of Operational Research, vol.42, issue.02, pp.239-54, 2011.
DOI : 10.1016/j.fss.2004.12.011

M. Azadi and R. Saen, A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors, Expert Systems with Applications, vol.38, issue.10, pp.12231-12237, 2011.
DOI : 10.1016/j.eswa.2011.04.001

H. Zhou, G. Du, and T. An, Selection of Optimal Third-party Logistics Recycler Based on Fuzzy DEA, Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials, Metallurgy Engineering, pp.146-51, 2012.
DOI : 10.2991/mmat.2013.28

V. Ravi, Selection of third-party reverse logistics providers for End-of-Life computers using TOPSIS-AHP based approach, International Journal of Logistics Systems and Management, vol.11, issue.1, pp.24-37, 2012.
DOI : 10.1504/IJLSM.2012.044048

K. Govindan, J. Sarkis, and M. Palaniappan, An analytic network process-based multicriteria decision making model for a reverse supply chain, The International Journal of Advanced Manufacturing Technology, vol.42, issue.1, pp.863-80, 2013.
DOI : 10.1016/j.dss.2004.11.008

M. Zareinejad and H. Javanmard, Evaluation and selection of a third-party reverse logistics provider using ANP and IFG-MCDM methodology, Life Sci J, vol.10, pp.350-355, 2013.

S. Senthil, B. Srirangacharyulu, and R. A. , A robust hybrid multi-criteria decision making methodology for contractor evaluation and selection in third-party reverse logistics, Expert Systems with Applications, vol.41, issue.1, pp.50-58, 2014.
DOI : 10.1016/j.eswa.2013.07.010

V. Ravi, R. Shankar, and M. Tiwari, Selection of a reverse logistics project for end-of-life computers: ANP and goal programing approach, International Journal of Production Research, vol.37, issue.17, pp.4849-70, 2008.
DOI : 10.1142/S0960313199000301

C. Chiou, C. Hsu, and W. Hwang, Comparative investigation on green supplier selection of the American, Japanese and Taiwanese Electronics Industry in China, 2008 IEEE International Conference on Industrial Engineering and Engineering Management, pp.1909-1923, 2008.
DOI : 10.1109/IEEM.2008.4738204

R. Sarmiento and A. Thomas, Identifying improvement areas when implementing green initiatives using a multitier AHP approach, Benchmarking: An International Journal, vol.17, issue.3, pp.452-63, 2010.
DOI : 10.1016/j.ijpe.2006.11.029

G. Büyüközkan, C. Iftç-i, and G. , Evaluation of the green supply chain management practices: a fuzzy ANP approach, Production Planning & Control, vol.19, issue.2, pp.405-423, 2012.
DOI : 10.1007/978-94-015-7153-1

C. Chiou, H. Chen, C. Yu, and C. Yeh, Consideration Factors of Reverse Logistics Implementation -A Case Study of Taiwan's Electronics Industry, Procedia - Social and Behavioral Sciences, vol.40, pp.375-81, 2012.
DOI : 10.1016/j.sbspro.2012.03.203

S. Senthil, B. Srirangacharyulu, and R. A. , A Decision Making Methodology for the Selection of Reverse Logistics Operating Channels, Procedia Engineering, vol.38, pp.418-446, 2012.
DOI : 10.1016/j.proeng.2012.06.052

M. Shaverdi, M. Heshmati, E. Eskandaripour, and A. Tabar, Developing Sustainable SCM Evaluation Model Using Fuzzy AHP in Publishing Industry, Procedia Computer Science, vol.17, pp.340-349, 2013.
DOI : 10.1016/j.procs.2013.05.044

R. Lin, Using fuzzy DEMATEL to evaluate the green supply chain management practices, Journal of Cleaner Production, vol.40, pp.32-41, 2013.
DOI : 10.1016/j.jclepro.2011.06.010

X. Wang and H. Chan, A hierarchical fuzzy TOPSIS approach to assess improvement areas when implementing green supply chain initiatives, International Journal of Production Research, vol.7, issue.3, pp.3117-3147, 2013.
DOI : 10.1016/j.tre.2006.06.003

S. Mangla, J. Madaan, P. Sarma, and M. Gupta, Multi-objective decision modelling using interpretive structural modelling for green supply chains, International Journal of Logistics Systems and Management, vol.17, issue.2, pp.125-167, 2014.
DOI : 10.1504/IJLSM.2014.059113

G. Noci, Designing ???green??? vendor rating systems for the assessment of a supplier's environmental performance, European Journal of Purchasing & Supply Management, vol.3, issue.2, pp.103-117, 1997.
DOI : 10.1016/S0969-7012(96)00021-4

R. Handfield, S. Walton, R. Sroufe, and S. Melnyk, Applying environmental criteria to supplier assessment: A study in the application of the Analytical Hierarchy Process, European Journal of Operational Research, vol.141, issue.1, pp.70-87, 2002.
DOI : 10.1016/S0377-2217(01)00261-2

P. Humphreys, R. Mcivor, and F. Chan, Using case-based reasoning to evaluate supplier environmental management performance, Expert Systems with Applications, vol.25, issue.2, pp.141-53, 2003.
DOI : 10.1016/S0957-4174(03)00042-3

H. Zhang, J. Li, and M. Merchant, Using Fuzzy Multi-Agent Decision-Making In Environmentally Conscious Supplier Management, CIRP Annals, vol.52, issue.1, pp.385-393, 2003.
DOI : 10.1016/S0007-8506(07)60607-6

P. Humphreys, A. Mccloskey, R. Mcivor, L. Maguire, and C. Glackin, Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process, International Journal of Production Research, vol.15, issue.12, pp.2379-419, 2006.
DOI : 10.1109/TSMC.1973.5408575

S. Nukala and S. Gupta, Supplier selection in a closed-loop supply chain network: an ANP-goal programming based methodology, Environmentally Conscious Manufacturing VI, pp.130-138, 2006.
DOI : 10.1117/12.686328

C. Hsu and A. Hu, Application of analytic network process on supplier selection to hazardous substance management in green supply chain management, IEEE International Conference on Industrial Engineering and Engineering Management, pp.1362-1370, 2007.

L. Lu, C. Wu, and T. Kuo, Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis, International Journal of Production Research, vol.75, issue.18-19, pp.4317-4348, 2007.
DOI : 10.1016/S0969-7012(00)00007-1

Y. Yang and L. Wu, Grey Entropy Method for Green Supplier Selection, 2007 International Conference on Wireless Communications, Networking and Mobile Computing, pp.4682-4687, 2007.
DOI : 10.1109/WICOM.2007.1150

Y. Yu-zhong and W. Li-yun, Extension method for green supplier selection, 4th International Conference on Wireless Communications. Networking and Mobile Computing 2008, WiCOM '08, pp.1-4, 2008.

Y. Ge, Research on green suppliers' evaluation based on AHP & genetic algorithm, 2009 International Conference on Signal Processing Systems, pp.615-624, 2009.

C. Hsu and A. Hu, Applying hazardous substance management to supplier selection using analytic network process, Journal of Cleaner Production, vol.17, issue.2, pp.255-64, 2009.
DOI : 10.1016/j.jclepro.2008.05.004

A. Lee, H. Kang, C. Hsu, and H. Hung, A green supplier selection model for high-tech industry, Expert Systems with Applications, vol.36, issue.4, pp.7917-7944, 2009.
DOI : 10.1016/j.eswa.2008.11.052

X. Li and C. Zhao, Selection of suppliers of vehicle components based on green supply chain, 2009 16th International Conference on Industrial Engineering and Engineering Management, pp.1588-91, 2009.
DOI : 10.1109/ICIEEM.2009.5344345

G. Tuzkaya, A. Ozgen, D. Ozgen, and U. Tuzkaya, Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach, International Journal of Environmental Science & Technology, vol.116, issue.2, pp.477-90, 2009.
DOI : 10.1016/S0377-2217(98)00331-2

C. Chen, M. Tseng, Y. Lin, and Z. Lin, Implementation of green supply chain management in uncertainty, 2010 IEEE International Conference on Industrial Engineering and Engineering Management, pp.260-264, 2010.
DOI : 10.1109/IEEM.2010.5674461

A. Awasthi, S. Chauhan, and S. Goyal, A fuzzy multicriteria approach for evaluating environmental performance of suppliers, International Journal of Production Economics, vol.126, issue.2, pp.370-378, 2010.
DOI : 10.1016/j.ijpe.2010.04.029

R. Grisi, L. Guerra, and G. Naviglio, Supplier Performance Evaluation for Green Supply Chain Management, pp.149-63, 2010.
DOI : 10.1007/978-3-642-04800-5_10

A. Kumar and V. Jain, Supplier selection: a green approach with carbon footprint monitoring, International Conference on Supply Chain Management and Information Systems, pp.1-8, 2010.

O. Feyzioglu and G. Büyüközkan, Evaluation of Green Suppliers Considering Decision Criteria Dependencies, pp.145-54, 2010.
DOI : 10.1007/978-3-642-04045-0_12

C. Thongchattu and S. Siripokapirom, Green supplier selection consensus by neural network, 2010 2nd International Conference on Mechanical and Electronics Engineering, pp.313-319, 2010.
DOI : 10.1109/ICMEE.2010.5558417

U. Wen and J. Chi, Developing green supplier selection procedure: A DEA approach, 2010 IEEE 17Th International Conference on Industrial Engineering and Engineering Management, pp.70-74, 2010.
DOI : 10.1109/ICIEEM.2010.5646615

G. Büyüközkan, C. Iftç-i, and G. , A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information, Computers in Industry, vol.62, issue.2, pp.164-74, 2011.
DOI : 10.1016/j.compind.2010.10.009

G. Ciftci and G. Buyukozkan, A Fuzzy MCDM Approach to Evaluate Green Suppliers, International Journal of Computational Intelligence Systems, vol.52, issue.4, pp.894-909, 2011.
DOI : 10.1016/j.cie.2007.01.005

M. Shaik and W. Abdul-kader, Green supplier selection generic framework: a multi-attribute utility theory approach, International Journal of Sustainable Engineering, vol.35, issue.1, pp.37-56, 2011.
DOI : 10.1057/palgrave.jors.2600797

S. Datta, C. Samantra, S. Mahapatra, S. Banerjee, and A. Bandyopadhyay, Green supplier evaluation and selection using VIKOR method embedded in fuzzy expert system with intervalvalued fuzzy numbers, Int J Procur Manag, vol.5, pp.647-78, 2012.

J. Dai and J. Blackhurst, A four-phase AHP???QFD approach for supplier assessment: a sustainability perspective, International Journal of Production Research, vol.82, issue.12, pp.5474-90, 2012.
DOI : 10.1080/00207540802054227

S. Amin and G. Zhang, An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach, Expert Systems with Applications, vol.39, issue.8, pp.6782-91, 2012.
DOI : 10.1016/j.eswa.2011.12.056

T. Lee, T. Le, A. Genovese, and L. Koh, Using FAHP to determine the criteria for partner's selection within a green supply chain, Journal of Manufacturing Technology Management, vol.23, issue.1, pp.25-55, 2012.
DOI : 10.1108/01443570510593148

R. Kuo and Y. Lin, Supplier selection using analytic network process and data envelopment analysis, International Journal of Production Research, vol.30, issue.3, pp.2852-63, 2012.
DOI : 10.1108/EUM0000000004286

M. Punniyamoorty, P. Mathiyalagan, and G. Lakshmi, A combined application of structural equation modeling (SEM) and analytic hierarchy process (AHP) in supplier selection, Benchmarking: An International Journal, vol.19, issue.1, pp.70-92, 2012.
DOI : 10.1108/13598540510612767

C. Hsu, F. Wang, and G. Tzeng, The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR, Resources, Conservation and Recycling, vol.66, pp.95-111, 2012.
DOI : 10.1016/j.resconrec.2012.02.009

D. Kannan, R. Khodaverdi, L. Olfat, A. Jafarian, and A. Diabat, Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain, Journal of Cleaner Production, vol.47, pp.355-67, 2013.
DOI : 10.1016/j.jclepro.2013.02.010

L. Shen, L. Olfat, K. Govindan, R. Khodaverdi, and A. Diabat, A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences, Resources, Conservation and Recycling, vol.74, pp.170-179, 2013.
DOI : 10.1016/j.resconrec.2012.09.006

J. Kim, Y. Hwang, and K. Park, An assessment of the recycling potential of materials basedon environmental and economic factors; case study in South Korea, Journal of Cleaner Production, vol.17, issue.14, pp.1264-71, 2009.
DOI : 10.1016/j.jclepro.2009.03.023

N. Sakundarini, Z. Taha, S. Abdul-rashid, R. Ghazilla, and J. Gonzales, Multi-objective optimization for high recyclability material selection using genetic algorithm, The International Journal of Advanced Manufacturing Technology, vol.127, issue.5
DOI : 10.1115/1.1814671

, Int J Adv Manuf Technol, vol.68, pp.1441-51, 2013.

Z. Jiang, H. Zhang, and J. Sutherland, Development of multi-criteria decision making model for remanufacturing technology portfolio selection, Journal of Cleaner Production, vol.19, issue.17-18, pp.1939-1984, 2012.
DOI : 10.1016/j.jclepro.2011.07.010

R. Subramoniam, D. Huisingh, R. Chinnam, and S. Subramoniam, Remanufacturing Decision-Making Framework (RDMF): research validation using the analytical hierarchical process, Journal of Cleaner Production, vol.40, pp.212-232, 2013.
DOI : 10.1016/j.jclepro.2011.09.004

J. Sarkis, Evaluating environmentally conscious business practices, European Journal of Operational Research, vol.107, issue.1, pp.159-74, 1998.
DOI : 10.1016/S0377-2217(97)00160-4

J. Sarkis, A methodological framework for evaluating environmentally conscious manufacturing programs, Computers & Industrial Engineering, vol.36, issue.4, pp.793-810, 1999.
DOI : 10.1016/S0360-8352(99)00166-7

R. Rao, An improved compromise ranking method for evaluation of environmentally conscious manufacturing programs, Int J Prod Res, vol.47, pp.4399-412, 2009.

S. Vinodh, M. Prasanna, and S. Manoj, Application of analytical network process for the evaluation of sustainable business practices in an Indian relays manufacturing organization, Clean Technologies and Environmental Policy, vol.56, issue.4, pp.309-326, 2012.
DOI : 10.1016/j.cie.2008.10.015

A. Diabat, R. Khodaverdi, and L. Olfat, An exploration of green supply chain practices and performances in an automotive industry, The International Journal of Advanced Manufacturing Technology, vol.28, issue.11, pp.949-61, 2013.
DOI : 10.1108/01443570810910179

A. Ziout, A. Azab, S. Altarazi, and W. Elmaraghy, Multi-criteria decision support for sustainability assessment of manufacturing system reuse, CIRP Journal of Manufacturing Science and Technology, vol.6, issue.1, pp.59-69, 2013.
DOI : 10.1016/j.cirpj.2012.10.006

S. Lee, S. Lye, and M. Khoo, A Multi-Objective Methodology for Evaluating Product End-of-Life Options and Disassembly, The International Journal of Advanced Manufacturing Technology, vol.18, issue.2, pp.148-56, 2001.
DOI : 10.1007/s001700170086

A. Hula, K. Jalali, K. Hamza, S. Skerlos, and K. Saitou, Multi-Criteria Decision-Making for Optimization of Product Disassembly under Multiple Situations, Environmental Science & Technology, vol.37, issue.23, pp.5303-5316, 2003.
DOI : 10.1021/es0345423

A. Bufardi, R. Gheorghe, D. Kiritsis, and P. Xirouchakis, Multicriteria decision-aid approach for product end-of-life alternative selection, International Journal of Production Research, vol.3, issue.1, pp.3139-57, 2004.
DOI : 10.1016/S0007-8506(07)62152-0

V. Ravi, R. Shankar, and M. Tiwari, Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach, Computers & Industrial Engineering, vol.48, issue.2, pp.327-56, 2005.
DOI : 10.1016/j.cie.2005.01.017

E. Kongar and S. Gupta, Disassembly to order system under uncertainty, Omega, vol.34, issue.6, pp.550-61, 2006.
DOI : 10.1016/j.omega.2005.01.006

H. Jun, M. Cusin, D. Kiritsis, and P. Xirouchakis, A multi-objective evolutionary algorithm for EOL product recovery optimization: turbocharger case study, International Journal of Production Research, vol.37, issue.18-19, pp.4573-94, 2007.
DOI : 10.1109/4235.797969

J. Chan, Product end-of-life options selection: grey relational analysis approach, International Journal of Production Research, vol.37, issue.11, pp.2889-912, 2008.
DOI : 10.1109/70.843173

C. Chen, H. Shih, K. Wu, and H. Shyur, Using ANP for the selection of green supply chain management strategies, Proceedings of the 10th International Symposium on the Analytic Hierarchy/Network Process, 2009.

S. Wadhwa, J. Madaan, and F. Chan, Flexible decision modeling of reverse logistics system: A value adding MCDM approach for alternative selection, Robotics and Computer-Integrated Manufacturing, vol.25, issue.2, pp.460-469, 2009.
DOI : 10.1016/j.rcim.2008.01.006

E. Iakovou, N. Moussiopoulos, A. Xanthopoulos, C. Achillas, N. Michailidis et al., A methodological framework for end-of-life management of electronic products, Resources, Conservation and Recycling, vol.53, issue.6, pp.329-368, 2009.
DOI : 10.1016/j.resconrec.2009.02.001

R. Rao and K. Padmanabhan, Selection of best product end-of-life scenario using digraph and matrix methods, Journal of Engineering Design, vol.215, issue.1, pp.455-72, 2010.
DOI : 10.1016/S0007-8506(07)62152-0

Z. Ghazalli and A. Murata, Development of an AHP???CBR evaluation system for remanufacturing: end-of-life selection strategy, International Journal of Sustainable Engineering, vol.3, issue.1, pp.2-15, 2011.
DOI : 10.1016/S0278-6125(00)80003-5

C. Chen, H. Shih, H. Shyur, and K. Wu, A business strategy selection of green supply chain management via an analytic network process, Computers & Mathematics with Applications, vol.64, issue.8, pp.2544-57, 2012.
DOI : 10.1016/j.camwa.2012.06.013

M. Remery, C. Mascle, and B. Agard, A new method for evaluating the best product end-of-life strategy during the early design phase, Journal of Engineering Design, vol.6, issue.7, pp.419-460, 2012.
DOI : 10.1016/S0377-2217(97)00147-1

S. Mahapatara, S. Sharma, and M. Parappagoudar, A novel multi-criteria decision making approach for selection of reverse manufacturing alternative, International Journal of Services and Operations Management, vol.15, issue.2, pp.176-95, 2013.
DOI : 10.1504/IJSOM.2013.053644

C. Samantra, N. Sahu, S. Datta, and S. Mahapatra, Decision-making in selecting reverse logistics alternative using interval-valued fuzzy sets combined with VIKOR approach, International Journal of Services and Operations Management, vol.14, issue.2, pp.175-96, 2013.
DOI : 10.1504/IJSOM.2013.051828

D. Dhouib, An extension of MACBETH method for a fuzzy environment to analyze alternatives in reverse logistics for automobile tire wastes, Omega, vol.42, issue.1, pp.25-32, 2014.
DOI : 10.1016/j.omega.2013.02.003

S. Gupta and J. Isaacs, Value analysis of disposal strategies for automobiles, Computers & Industrial Engineering, vol.33, issue.1-2, pp.325-333, 1997.
DOI : 10.1016/S0360-8352(97)00103-4

J. Isaacs and S. Gupta, Economic Consequences of Increasing Polymer Content for the U.S. Automobile Recycling Infrastructure, Journal of Industrial Ecology, vol.44, issue.89, pp.19-33, 1997.
DOI : 10.1007/978-1-4615-2229-4

J. Boon, J. Isaacs, and S. Gupta, Economic Impact of Aluminum-Intensive Vehicles on the U.S. Automotive Recycling Infrastructure, Journal of Industrial Ecology, vol.51, issue.2, pp.117-151, 2000.
DOI : 10.1007/s11837-999-0207-3

Y. Yu, J. K. Zhang, H. Ling, F. Barnes, and D. , A decision-making model for materials management of end-of-life electronic products, Journal of Manufacturing Systems, vol.19, issue.2, pp.94-107, 2000.
DOI : 10.1016/S0278-6125(00)80003-5

J. Boon, J. Isaacs, and S. Gupta, End-of-Life Infrastructure Economics for "Clean Vehicles" in the United States, Journal of Industrial Ecology, vol.10, issue.4, pp.25-45, 2003.
DOI : 10.1109/ISEE.1998.675026

S. Gupta and K. Pochampally, Evaluation of recycling programs with respect to drivers of public participation: a fuzzy TOPSIS approach, Proceedings of the 2004 Northeast Decision Sciences Institute Conference, pp.226-234, 2004.

C. Yeh and Y. Xu, Sustainable planning of e-waste recycling activities using fuzzy multicriteria decision making, Journal of Cleaner Production, vol.52, pp.194-204, 2013.
DOI : 10.1016/j.jclepro.2013.03.003

A. Gupta and G. Evans, A goal programming model for the operation of closed-loop supply chains, Engineering Optimization, vol.24, issue.1, pp.713-748, 2009.
DOI : 10.1007/BF02832333

G. Azzone and G. Noci, Measuring the environmental performance of new products: an integrated approach, International Journal of Production Research, vol.72, issue.11, pp.3055-78, 1996.
DOI : 10.1287/inte.23.4.75

A. Gungor, Evaluation of connection types in design for disassembly (DFD) using analytic network process, Computers & Industrial Engineering, vol.50, issue.1-2, pp.35-54, 2006.
DOI : 10.1016/j.cie.2005.12.002

T. Kuo, S. Chang, and S. Huang, Environmentally conscious design by using fuzzy multi-attribute decision-making, The International Journal of Advanced Manufacturing Technology, vol.8, issue.5, pp.419-444, 2006.
DOI : 10.1007/s00170-005-2540-1

J. Choi, L. Nies, and K. Ramani, A framework for the integration of environmental and business aspects toward sustainable product development, Journal of Engineering Design, vol.7, issue.5, pp.431-477, 2008.
DOI : 10.1016/0377-2217(93)90318-H

J. Li, H. Zhang, M. Gonzalez, and Y. S. , A multi-objective fuzzy graph approach for modular formulation considering end-of-life issues, International Journal of Production Research, vol.38, issue.14, pp.4011-4044, 2008.
DOI : 10.1016/S0007-8506(07)60632-5

Y. Gao, Z. Liu, D. Hu, L. Zhang, and G. Gu, Selection of green product design scheme based on multi-attribute decision-making method, International Journal of Sustainable Engineering, vol.39, issue.4, pp.277-91, 2010.
DOI : 10.1016/S0261-5177(01)00050-4

T. Kuo, Combination of case-based reasoning and analytical hierarchy process for providing intelligent decision support for product recycling strategies, Expert Systems with Applications, vol.37, issue.8, pp.5558-63, 2010.
DOI : 10.1016/j.eswa.2010.02.057

X. Wang, H. Chan, and D. Li, A case study of AHP based model for green product design selection, Proceedings of the EWG-DSS Liverpool ? 2012. Workshop on Decision Support Systems and Operations Management Trends and Solutions in Industries. 2012, pp.1-6

S. Vinodh, G. Mulanjur, and A. Thiagarajan, Sustainable concept selection using modified fuzzy TOPSIS: a case study, International Journal of Sustainable Engineering, vol.8, issue.2, pp.109-125, 2013.
DOI : 10.1016/j.cie.2008.10.015

I. Erol, S. Sencer, and R. Sari, A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain, Ecological Economics, vol.70, issue.6, pp.1088-100, 2011.
DOI : 10.1016/j.ecolecon.2011.01.001

C. Hsu, A. Hu, C. Chiou, and T. Chen, Using the FDM and ANP to construct a sustainability balanced scorecard for the semiconductor industry, Expert Systems with Applications, vol.38, issue.10, pp.12891-12900, 2011.
DOI : 10.1016/j.eswa.2011.04.082

F. De-felice and A. Petrillo, Hierarchical Model to Optimize Performance in Logistics Policies: Multi Attribute Analysis, Procedia - Social and Behavioral Sciences, vol.58, pp.1555-64, 2012.
DOI : 10.1016/j.sbspro.2012.09.1142

M. Shaik and W. Abdul-kader, Performance measurement of reverse logistics enterprise: a comprehensive and integrated approach, Measuring Business Excellence, vol.16, issue.2, pp.23-34, 2012.
DOI : 10.1016/0007-6813(78)90032-0

A. Bhattacharya, P. Mohapatra, V. Kumar, P. Dey, M. Brady et al., Green supply chain performance measurement using fuzzy ANP-based balanced scorecard: a collaborative decision-making approach, Production Planning & Control, vol.14, issue.3, pp.698-714, 2014.
DOI : 10.1016/j.ijpe.2006.11.029

K. Sangwan, Evaluation of manufacturing systems based on environmental aspects using a multi-criteria decision model, International Journal of Industrial and Systems Engineering, vol.14, issue.1, pp.40-57, 2013.
DOI : 10.1504/IJISE.2013.052920

S. Mirhedayatian, M. Azadi, and R. Saen, A novel network data envelopment analysis model for evaluating green supply chain management, International Journal of Production Economics, vol.147, pp.544-54, 2014.
DOI : 10.1016/j.ijpe.2013.02.009

Y. Bouchery, A. Ghaffari, Z. Jemai, and Y. Dallery, Including sustainability criteria into inventory models, European Journal of Operational Research, vol.222, issue.2, pp.229-269, 2012.
DOI : 10.1016/j.ejor.2012.05.004
URL : https://hal.archives-ouvertes.fr/hal-00614656

I. Bereketli, E. Genevois, M. , E. Albayrak, Y. Ozyol et al., WEEE treatment strategies??? evaluation using fuzzy LINMAP method, Expert Systems with Applications, vol.38, issue.1, pp.71-80, 2011.
DOI : 10.1016/j.eswa.2010.06.015

G. Walther, E. Schmid, S. Kramer, and T. Spengler, Planning and Evaluation of Sustainable Reverse Logistics Systems, In: Operations Research Proceedings, pp.577-82, 2005.
DOI : 10.1007/3-540-32539-5_91

S. Vadde, A. Zeid, and S. Kamarthi, Pricing decisions in a multi-criteria setting for product recovery facilities, Omega, vol.39, issue.2, pp.186-93, 2011.
DOI : 10.1016/j.omega.2010.06.005

D. Wittstruck and F. Teuteberg, Integrating the concept of sustainability into the partner selection process: a fuzzy-AHP-TOPSIS approach, International Journal of Logistics Systems and Management, vol.12, issue.2, pp.195-226, 2012.
DOI : 10.1504/IJLSM.2012.047221

C. Chern, S. Lei, and K. Huang, Solving a multi-objective master planning problem with substitution and a recycling process for a capacitated multi-commodity supply chain network, Journal of Intelligent Manufacturing, vol.42, issue.6, pp.1-25, 2013.
DOI : 10.1016/S0360-8352(02)00055-4

C. Liu and D. Huang, Reduction of power consumption and carbon footprints by applying multi-objective optimisation via genetic algorithms, International Journal of Production Research, vol.76, issue.2, pp.337-52, 2014.
DOI : 10.1049/iet-gtd.2010.0105

Y. Dou, Q. Zhu, and J. Sarkis, Evaluating green supplier development programs with a grey-analytical network process-based methodology, European Journal of Operational Research, vol.233, issue.2, pp.420-451, 2014.
DOI : 10.1016/j.ejor.2013.03.004

W. Yeh and M. Chuang, Using multi-objective genetic algorithm for partner selection in green supply chain problems, Expert Systems with Applications, vol.38, issue.4, pp.4244-53, 2011.
DOI : 10.1016/j.eswa.2010.09.091

Y. Tang, M. Zhou, E. Zussman, and R. Caudill, Disassembly modeling, planning, and application, Journal of Manufacturing Systems, vol.21, issue.3, pp.200-217, 2002.
DOI : 10.1016/S0278-6125(02)80162-5

M. Bentaha, O. Battaia, and A. Dolgui, An exact solution approach for disassembly line balancing problem under uncertainty of the task processing times, International Journal of Production Research, vol.2, issue.6, pp.1807-1825, 2015.
DOI : 10.1016/S0278-6125(00)80001-1
URL : https://hal.archives-ouvertes.fr/emse-01070085

M. Bentaha, O. Battaia, and A. Dolgui, A sample average approximation method for disassembly line balancing problem under uncertainty, Computers & Operations Research, vol.51, pp.111-133, 2014.
DOI : 10.1016/j.cor.2014.05.006
URL : https://hal.archives-ouvertes.fr/emse-01083333

G. Tzeng and J. Huang, Multiple attribute decision making: methods and applications, 2011.
DOI : 10.1201/b11032

J. Ignizio, Goal programming and extensions, 1976.

B. Aouni, J. Martel, and A. Hassaine, Fuzzy goal programming model: an overview of the current state-of-the art, Journal of Multi-Criteria Decision Analysis, vol.1, issue.1, pp.149-61, 2009.
DOI : 10.1007/978-3-642-75935-2_7

M. Ilgin and S. Gupta, Physical Programming: A Review of the State of the Art, Studies in Informatics and Control, vol.21, issue.4, pp.349-66, 2012.
DOI : 10.24846/v21i4y201201

E. Kongar and S. Gupta, Disassembly-to-order system using Linear Physical Programming, Conference Record 2002 IEEE International Symposium on Electronics and the Environment (Cat. No.02CH37273), pp.312-319, 2002.
DOI : 10.1109/ISEE.2002.1003286

D. Jones, S. Mirrazavi, and M. Tamiz, Multi-objective meta-heuristics: An overview of the current state-of-the-art, European Journal of Operational Research, vol.137, issue.1, pp.1-9, 2002.
DOI : 10.1016/S0377-2217(01)00123-0

D. Goldberg, Genetic algorithms in search, optimization, and machine learning, 1989.

S. Mcgovern and S. Gupta, The disassembly line: balancing and modeling, 2011.

A. Gungor and S. Gupta, Disassembly line in product recovery, International Journal of Production Research, vol.5, issue.11, pp.2569-89, 2002.
DOI : 10.1023/A:1018500603358

O. Battaia and A. Dolgui, A taxonomy of line balancing problems and their solutionapproaches, International Journal of Production Economics, vol.142, issue.2, pp.259-77, 2013.
DOI : 10.1016/j.ijpe.2012.10.020

X. Delorme, O. Battaia, A. Dolgui, L. Benyoucef, J. Hennet et al., Multi-objective approaches for design of assembly lines Applications of multi-criteria and game theory approaches, pp.31-56, 2014.

C. Pegden, R. Shannon, and R. Sadowski, Introduction to simulation using SIMAN, 1995.

T. Saaty, The analytic hierarchy process, 1980.

R. Subramoniam, D. Huisingh, and R. Chinnam, Aftermarket remanufacturing strategic planning decision-making framework: theory & practice, Journal of Cleaner Production, vol.18, issue.16-17, pp.1575-86, 2010.
DOI : 10.1016/j.jclepro.2010.07.022

I. Ertugrul and N. Karakasoglu, Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods, Expert Systems with Applications, vol.36, issue.1, pp.702-717, 2009.
DOI : 10.1016/j.eswa.2007.10.014

T. Saaty, W. Cooper, L. Seiford, J. Zhu, W. Cooper et al., Decision making with dependence and feedback: the analytic network process Data envelopment analysis: history, models, and interpretations. In: Handbook on data envelopment analysis, pp.1-39, 1996.

W. Wu, Choosing knowledge management strategies by using a combined ANP and DEMATEL approach, Expert Systems with Applications, vol.35, issue.3, pp.828-863, 2008.
DOI : 10.1016/j.eswa.2007.07.025

K. Govindan, R. Khodaverdi, and A. Jafarian, A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach, Journal of Cleaner Production, vol.47, pp.345-54, 2012.
DOI : 10.1016/j.jclepro.2012.04.014

F. Bari and V. Leung, Application of ELECTRE to Network Selection in A Hetereogeneous Wireless Network Environment, 2007 IEEE Wireless Communications and Networking Conference, pp.3810-3815, 2007.
DOI : 10.1109/WCNC.2007.697

A. Teixeira-de-almeida, Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method, Computers & Operations Research, vol.34, issue.12, pp.3569-74, 2007.
DOI : 10.1016/j.cor.2006.01.003

J. Brans and B. Mareschal, Promethee methods In: Multiple criteria decision analysis: state of the art surveys, pp.163-86, 2005.

B. Mareschal, D. Smet, and Y. , Visual PROMETHEE: Developments of the PROMETHEE &#x00026; GAIA multicriteria decision aid methods, 2009 IEEE International Conference on Industrial Engineering and Engineering Management, pp.1646-1655, 2009.
DOI : 10.1109/IEEM.2009.5373124

H. Min, International Supplier Selection:, International Journal of Physical Distribution & Logistics Management, vol.24, issue.5, pp.24-33, 1994.
DOI : 10.1111/j.1745-493X.1992.tb00559.x

S. Opricovic and G. Tzeng, Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS, European Journal of Operational Research, vol.156, issue.2, pp.445-55, 2004.
DOI : 10.1016/S0377-2217(03)00020-1

A. Ishizaka and P. Nemery, Multi-criteria decision analysis: methods and software, 2013.
DOI : 10.1002/9781118644898

L. Xu, Case based reasoning, IEEE Potentials, vol.13, issue.5, pp.10-13, 1994.
DOI : 10.1109/45.464654

J. Kolodner, An introduction to case-based reasoning, Artificial Intelligence Review, vol.13, issue.4, pp.3-34, 1992.
DOI : 10.1007/BF00155578

Y. Kuo, T. Yang, and G. Huang, The use of grey relational analysis in solving multiple attribute decision-making problems, Computers & Industrial Engineering, vol.55, issue.1, pp.80-93, 2008.
DOI : 10.1016/j.cie.2007.12.002