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Selected Journal Papers |
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1. Aghababaei, B., Pishvaee, M. S., & Barzinpour, F. (2019). A two-stage fuzzy optimization model for scarce drugs supply and ration planning under uncertainty: A case study. Applied Soft Computing, 105514. 2. Ashtineh, H., & Pishvaee, M. S. (2019). Alternative Fuel Vehicle-Routing Problem: A life cycle analysis of transportation fuels. Journal of Cleaner Production, 219: 166-182. 3. Ghazanfari, M., Mohammadi, H., Pishvaee, M. S., & Teimoury, E. (2019). Fresh-Product Trade Management Under Government-Backed Incentives: A Case Study of Fresh Flower Market. IEEE Transactions on Engineering Management (In Press). 4. Babazadeh, R., Ghaderi, H., & Pishvaee, M. S., (2019). A benders-local branching algorithm for second-generation biodiesel supply chain network design under epistemic uncertainty. Computers & Chemical Engineering, 124, 364-380. 5. Mohammadian-Behbahani, Z., Jabbarzadeh, A., & Pishvaee, M. S. (2019). A robust optimisation model for sustainable blood supply chain network design under uncertainty. International Journal of Industrial and Systems Engineering, 31(4), 475-494. 6. Fazli-Khalaf M., Chaharsooghi S.K., Pishvaee, M. S. (2019). A new robust possibilistic programming model for reliable supply chain network design: A case study of lead-acid battery supply chain. RAIRO Operations Research (In Press). 7. Ahmadvand, S., & Pishvaee, M. S. (2019). An efficient method for kidney allocation problem: a credibility-based fuzzy common weights data envelopment analysis approach. Health care management science, 21(4), 587-603. 8. Ghaderi H., Gitinavard H., Pishvaee, M. S. (2019). A system dynamics approach to analyzing bioethanol and biodiesel supply chains: Increasing bioethanol and biodiesel market shares in the United States. International Journal of Energy Technology and Policy (In Press). 9. Mohamadi, A., Yaghoubi, S., & Pishvaee, M. S. (2019). Fuzzy multi-objective stochastic programming model for disaster relief logistics considering telecommunication infrastructures: a case study. Operational Research, 19(1), 59-99. 10. Mohammadi, H., Ghazanfari, M., Pishvaee, M. S., & Teimoury, E. (2019). Fresh-product supply chain coordination and waste reduction using a revenue-and-preservation-technology-investment-sharing contract: A real-life case study. Journal of Cleaner Production, 213, 262-282. 11. Ghaderi, H., Babazadeh, R., Moini, A., & Pishvaee, M. S. (2019). Efficiency assessment of switchgrass cultivation areas using sustainable indicators under epistemic uncertainty. Computers and Electronics in Agriculture, 157, 12-22. 12. Ahmadi, A., Pishvaee, M. S., & Heydari, M. (2019). How group purchasing Organisations influence healthcare-product supply chains? An analytical approach. Journal of the Operational Research Society, 70 (2), 280-293. 13. Sabouhi, F., Pishvaee, M. S., & Jabalameli, M. S. (2018). Resilient supply chain design under operational and disruption risks considering quantity discount: A case study of pharmaceutical supply chain. Computers & Industrial Engineering, 126, 657-672. 14. Beiranvand, H., Ghazanfari, M., Sahebi, H., & Pishvaee, M. S.(2018). A robust crude oil supply chain design under uncertain demand and market price: A case study. Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles, 73(66): 1-14. 15. Gitinavard, H., Ghaderi, H., & Pishvaee, M. S. (2018). Green supplier evaluation in manufacturing systems: a novel interval-valued hesitant fuzzy group outranking approach. Soft Computing, 22(19): 6441–6460. 16. Dehghani E., Pishvaee, M. S., Jabalameli M.S., (2018). A hybrid Markov process-mathematical programming approach for joint location-inventory problem under supply disruptions. RAIRO Operations Research, 52 (4), 1147-1173. 17. Peykani P., Mohammadi E., Pishvaee, M. S., Rostamy-Malkhalifeh M., Jabbarzadeh A., (2018). A novel fuzzy data envelopment analysis based on robust possibilistic programming: possibility, necessity and credibility-based approaches. RAIRO Operations Research, 52 (4), 1445-1463. 18. Ghelichi, Z., Saidi-Mehrabad, M., Pishvaee, M. S.(2018). A stochastic programming approach toward optimal design and planning of an integrated green biodiesel supply chain network under uncertainty: A case study. Energy, 156, 661-687. 19. Yousefi, A., Pishvaee, M. S. (2018). A Fuzzy Optimization Approach to Integration of Physical and Financial Flows in a Global Supply Chain Under Exchange Rate Uncertainty. International Journal of Fuzzy Systems, 1-25. 20. Mirhashemi M.S., Mohseni S., Hasanzadeh M., Pishvaee, M. S. (2018). Moringa oleifera biomass-to-biodiesel supply chain design: An opportunity to combat desertification in Iran. Journal of Cleaner Production, 203: 313-327. 21. Fazli-Khalaf M., Chaharsooghi S.K., Pishvaee, M. S. (2018). A new robust possibilistic programming model for reliable supply chain network design: A case study of lead-acid battery supply chain. Rairo Operations Research (In Press). 22. Dehghani E., Pishvaee, M. S., Jabalameli M.S., (2018). A hybrid Markov process-mathematical programming approach for joint location-inventory problem under supply disruptions. RAIRO Operations Research (In Press). 23. Peykani P., Mohammadi E., Pishvaee, M. S., Rostamy-Malkhalifeh M., Jabbarzadeh A., (2018). A novel fuzzy data envelopment analysis based on robust possibilistic programming: possibility, necessity and credibility-based approaches. RAIRO Operations Research (In Press). 24. Gitinavard, H., Ghaderi, H., & Pishvaee, M. S. (2018). Green supplier evaluation in manufacturing systems: a novel interval-valued hesitant fuzzy group outranking approach. Soft Computing, 22(19): 6441–6460. 25. Mohammadi H., Ghazanfari M., Teimouri E., Pishvaee, M. S. (2018). Optimization of Transactions in the Plant and Flower Organized Market Considering Third-Party Logistics Company under Uncertainty, Modern Researches in Decision Making, 2: 179-205. 26. Yousefi, A., Pishvaee, M. S. (2018). The effect of exchange rate fluctuations on financial and physical flow in a global supply chain, Modiriat-e-Farda, 16(53): 313-348. 27. Fallah, H., Eskandari, H., & Pishvaee, M. S. (2018). Network Design for Allied Supply Chains under Uncertain Conditions: A Possibilistic Programming Approach. International Journal of Fuzzy Systems, 20(6), 1857-1871. 28. Ghaderi H., Gitinavard H., Pishvaee, M. S. (2018). A system dynamics approach to analyzing bioethanol and biodiesel supply chains: Increasing bioethanol and biodiesel market shares in the United States. International Journal of Energy Technology and Policy (In Press). 29. Sharif, N. S., Pishvaee, M. S., Aliahmadi, A., & Jabbarzadeh, A. (2018). A bi-level programming approach to joint network design and pricing problem in the municipal solid waste management system: A case study. Resources, Conservation and Recycling, 131, 17-40. 30. Ahmadi, A., Pishvaee, M. S., & Heydari, M. (2018). How group purchasing Organisations influence healthcare-product supply chains? An analytical approach. Journal of the Operational Research Society, 1-14. 31. Mousazadeh, M., Torabi, S. A., Pishvaee, M. S., & Abolhassani, F. (2018). Accessible, stable, and equitable health service network redesign: A robust mixed possibilistic-flexible approach. Transportation Research Part E: Logistics and Transportation Review, 111, 113-129. 32. Zarrinpoor, N., Fallahnezhad, M. S., & Pishvaee, M. S. (2018). The design of a reliable and robust hierarchical health service network using an accelerated Benders decomposition algorithm. European Journal of Operational Research, 265(3), 1013-1032. 33. Dehghani, E., Jabalameli, M. S., Jabbarzadeh, A., & Pishvaee, M. S.(2018). Resilient solar photovoltaic supply chain network design under business-as-usual and hazard uncertainties. Computers & Chemical Engineering, 111, 288-310. 34. Ghelichi, Z., Tajik, J., & Pishvaee, M. S. (2018). A novel robust optimization approach for an integrated municipal water distribution system design under uncertainty: A case study of Mashhad. Computers & Chemical Engineering, 110, 13-34. 35. Bairamzadeh, S., Saidi-Mehrabad, M., & Pishvaee, M. S..(2018). Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach. Renewable Energy, 116, 500-517. 36. Ghaderi, H., Moini, A., & Pishvaee, M. S. (2018). A multi-objective robust possibilistic programming approach to sustainable switchgrass-based bioethanol supply chain network design. Journal of Cleaner Production, 179: 368-406. 37. Ahmad Alinejad, E., Pishvaee, M. S., & Bonyadi Naeini, A. (2018). Key success factors for logistics provider enterprises: an empirical investigation in Iran. Kybernetes, 47(3): 426-440. 38. Yari M., Pishvaee, M. S., Jabbarzadeh A. (2018). Competitive Supply Chain Design Considering Supply Disruption: A Case of the Decorative Stones Supply Chain. Journal of Industrial Management Studies, 16: 31-53. 39. Moeini A., Pishvaee, M. S.,& Dezfuli M. (2018). Study of cultural and social indicators of universities and higher education institutions of the Islamic republic of Iran based on the upstream documents of the country by the combination of BSC and KPI method and their ranking using AHP technique. Acta Medica Mediterranea, 34, 575-581. 40. Salamat, V., Aliahmadi, A., Pishvaee, M. S., & Hafeez, K. (2018). A robust fuzzy possibilistic AHP approach for partner selection in international strategic alliance. Decision Science Letters, 7(4), 481-502. 41. Khanjarpanah, H., & Pishvaee, M. S. (2018). A fuzzy robust programming approach to multi-objective portfolio optimisation problem under uncertainty. International Journal of Mathematics in Operational Research, 12(1), 45-65. 42. Issabakhsh, M., Hosseini-Motlagh, S. M., Pishvaee, M. S., & Saghafi Nia, M. (2018). A Vehicle Routing Problem for Modeling Home Healthcare: a Case Study. International Journal of Transportation Engineering, 5(3), 211-228. 43. Eshtehadi, R., Fathian, M., Pishvaee, M. S., & Demir, E. (2018). A hybrid metaheuristic algorithm for the robust pollution-routing problem. Journal of Industrial and Systems Engineering, 11(1), 0-0. 44. Dehghani, E., Jabalameli, M. S., Pishvaee, M. S., & Jabarzadeh, A. (2018). Integrating information of the efficient and anti-efficient frontiers in DEA analysis to assess location of solar plants: A case study in Iran. Journal of Industrial and Systems Engineering, 11(1), 0-0. 45. Abbasi, M., & Pishvaee, M. S.(2018). A two-stage GIS-based optimization model for the dry port location problem: A case study of Iran. Journal of Industrial and Systems Engineering, 11(1), 0-0. 46. Mousazadeh, M., Torabi, S. A., Pishvaee, M. S., & Abolhassani, F. (2018). Health service network design: a robust possibilistic approach. International Transactions in Operational Research, 25(1), 337-373. 47. Ahmadvand, S., & Pishvaee, M. S. (2017). An efficient method for kidney allocation problem: a credibility-based fuzzy common weights data envelopment analysis approach. Health care management science, 1-17. 48. Gitinavard, H., Ghaderi, H., & Pishvaee, M. S.(2017). Green supplier evaluation in manufacturing systems: a novel interval-valued hesitant fuzzy group outranking approach. Soft Computing, 1-20. 49. Khanjarpanah, H., Pishvaee, M. S., & Seyedhosseini, S. M. (2017). A risk averse cross-efficiency data envelopment analysis model for sustainable switchgrass cultivation location optimization. Industrial Crops and Products, 109, 514-522. 50. Fazli-Khalaf, M., Mirzazadeh, A., & Pishvaee, M. S.(2017). A robust fuzzy stochastic programming model for the design of a reliable green closed-loop supply chain network. Human and Ecological Risk Assessment: An International Journal, 23(8), 2119-2149. 51. Shoaraye-Nejati, M., Jabalameli, M. S., & Pishvaee, M. S. (2017). A joint pricing-network design model for a resilient closed-loop supply chain under quantity discount. Journal of Industrial and Systems Engineering, 10(4), 177-195. 52. Yousefi, S., Soltani, R., Saen, R. F., & Pishvaee, M. S. (2017). A robust fuzzy possibilistic programming for a new network GP-DEA model to evaluate sustainable supply chains. Journal of Cleaner Production, 166, 537-549. 53. Rastaghi, M. M., Barzinpour, F., & Pishvaee, M. S. (2017). A multi-objective hierarchical location-allocation model for the healthcare network design considering a referral system. International Journal of Engineering-Transactions B: Applications, 31(2), 365. 54. Khanjarpanah, h., Pishvaee, M. S., Jabbarzadeh A. (2017). Optimizing a flexible constrained portfolio in stock exchange with fuzzy programming. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS, (2017): 39-54. 55. Gitinavard, H., Pishvaee, M. S.,& Jalalvand, F. (2017). A hierarchical multi-criteria group decision-making method based on TOPSIS and hesitant fuzzy information. International Journal of Applied Decision Sciences, 10(3), 213-232. 56. Naderi M.J., Pishvaee, M. S. (2017). A stochastic programming approach to integrated water supply and wastewater collection network design problem, Computers & Chemical Engineering 104, 107-127. 57. Grivani A., Pishvaee, M. S. (2017). Honey global supply chain network design using fuzzy optimization approach, Journal of Industrial and Systems Engineering, 10 (3), 0-0. 58. Naderi M.J., Pishvaee, M. S.(2017). Robust bi-objective macroscopic municipal water supply network redesign and rehabilitation, Water Resources Management, In Press. 59. Salamat V.R., Aliahmadi A., Pishvaee, M. S.,Hafeez K., (2017). Assessing Partnership Alternatives in an IT Network Employing Analytical Methods, Scientific Programming, In Press. 60. Zarrinpour N., Fallahnejad M.S., PPishvaee, M. S. (2017). Design of a reliable hierarchical location-allocation model under disruptions for health service networks: A two-stage robust approach, Computers & Industrial Engineering, 109: 130-150. 61. Ahmadi A., Pishvaee, M. S., Akbari Jokar M.R., (2017). A survey on multi-floor facility layout problems, Computers & Industrial Engineering, 107: 158-170. 62. Zahiri B., Pishvaee, M. S. (2017). Blood supply chain network design considering blood group compatibility under uncertainty, International Journal of Production Research 55 (7), 2013-2033. 63. Babazadeh R., Razmi J., Pishvaee, M. S., Rabbani M., (2017). A sustainable second-generation biodiesel supply chain network design problem under risk, Omega, 66: 258-277. 64. Babazadeh R., Razmi J., Rabbani M., Pishvaee, M. S. (2017). An integrated data envelopment analysis–mathematical programming approach to strategic biodiesel supply chain network design problem, Journal of Cleaner Production, 147: 694-707. 65. Zarindast A., Seyed Hosseini S.M., Pishvaee, M. S. (2017). A robust multi-objective global supplier selection model under currency fluctuation and price discount, Journal of Industrial Engineering International, 13(2). 161–169. 66. Zarrinpoor, N., Fallahnezhad, M.S., Pishvaee, M. S. (2017). Design of a Reliable Facility Location Model for Health Service Networks, International Journal of Engineering, Transactions A: Basics, 30(1): 75-84. 67. Zarrinpoor, N., Fallahnezhad, M.S., Pishvaee, M. S. (2016). Reliable location-allocation model for congested systems under disruptions using accelerated Benders’ decomposition. Journal of Industrial and Systems Engineering, Vol. 9, special issue on location allocation and hub modeling, pp 100-117. 68. Zarrinpoor, N., Fallahnezhad, M.S., Pishvaee, M. S. (2017). The reliable hierarchical location-allocation model under heterogeneous probabilistic disruptions, International Journal of Engineering, Transactions A: Basics, 29(10): 1401-1411. 69. Mohseni S., Pishvaee, M. S. (2016). A robust programming approach towards design and optimization of microalgae-based biofuel supply chain, Computers and Industrial Engineering, 100: 58-71. 70. Ghaderi H., Pishvaee, M. S., Moini A., (2016). Biomass supply chain network design: An optimization-oriented review and analysis, Industrial Crops and Products, 94: 972-1000. 71. Mohseni S., Pishvaee, M. S., Sahebi H., (2016). Robust design and planning of microalgae biomass-to-biodiesel supply chain: A case study in Iran, Energy, 111: 736-755. 72. Babazadeh R., Razmi J., Pishvaee, M. S.(2016). Sustainable cultivation location optimization of the Jatropha curcas L. under uncertainty: A unified fuzzy data envelopment analysis approach. Measurement, 89: 252-260. 73. Boukani F.H., Moghadam B.F., Pishvaee, M. S.(2016). Robust optimization approach to capacitated single and multiple allocation hub location problems, Computational and Applied Mathematics, 35(1): 45-60. 74. Talaei M., Farhang Moghaddam B., Pishvaee, M. S., Bozorgi-Amiri A., Gholamnejad S., (2016). A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry, Journal of Cleaner Production, 113: 662-673. 75. Ghafarimoghadam A., Karimi A., Mousazadeh M., Pishvaee, M. S., (2016). A robust optimization model for remanufacturing network design problem with one-way substitution, International Journal of Services and Operations Management, 24(4): 484-503. 76. Daghigh R., Jabalameli M.S., Bozorgi Amiri A., Pishvaee, M. S. (2016). A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertainty, International Journal of Industrial Engineering Computations, 7(4): 615-634. 77. Mousazadeh M., Torabi S.A., Pishvaee, M. S. (2016). Health service network design under epistemic uncertainty (Book Chapter) in Fuzzy Logic in its 50th Year, 257-281. 78. Naderi M.J., Pishvaee, M. S., Torabi S.A., (2016). Applications of fuzzy mathematical programming approaches in supply chain planning problems (Book Chapters) in Fuzzy Logic in its 50th Year, 369-402. 79. Jabbarzadeh A., Pishvaee, M. S., Papi A., (2016). A multi-period fuzzy mathematical programming model for crude oil supply chain network design considering budget and equipment limitations. Journal of Industrial and Systems Engineering, 9: 88-107. 80. Kohneh J.N., Teymoury E., Pishvaee, M. S. (2016). Blood products supply chain design considering disaster circumstances (Case study: earthquake disaster in Tehran). Journal of Industrial and Systems Engineering, 9: 51-72. 81. Pishvaee, M. S., Fazli Khalaf M., (2016). Novel robust fuzzy mathematical programming methods, Applied Mathematical Modelling, 40: 407-418. 82. Bairamzadeh S., Pishvaee, M. S., Saidi-Mehrabad M., (2016). Multi-objective Robust Possibilistic Programming Approach to Sustainable Bioethanol Supply Chain Design under Multiple Uncertainties, Industrial & Engineering Chemistry Research. 55: 237-256. 83. Fallah H., Eskandari H., Pishvaee, M. S. (2015). Competitive closed-loop supply chain network design under uncertainty, Journal of Manufacturing Systems, 37: 649-661. 84. Pishvaee, M. S., Ahsanizadeh S., (2016). Selecting appropriate finance method for innovations in Jahadi Management approach, Journal of Modiriat-e-Farda, 14(45): 3-18. 85. Ahmadvand S., Pishvaee, M. S. (2016). A two stage multi-organ allocation model for Iranian organ transplant supply chain network, Journal of Modiriat-e-Farda, 14(44): 25-40. 86. Kalantari M., Pishvaee, M. S., Yaghoubi S., (2016). A multi-objective optimization model integrating financial and material flow in supply chain master planning, Journal of Industrial Management Perspective, 19: 139-167. 87. Babazadeh R., Razmi J., Pishvaee, M. S., Rabbani M., (2015). A non-radial DEA model for location optimization of Jatropha curcas L. cultivation, Industrial Crops and Products, 2: 624-632. 88. Mohammadi A., Yaghoubi S., Nahofti Kohne J., Pishvaee, M. S., (2015). Location problem of shelters and telecom-relief centers considering uncertainty in the disaster time: A Case Study of flood disaster in region #3 of Tehran, Journal of Industrial Management, 7(1): 125-149. 89. Fazli-Khalaf M., Chaharsooghi S.K., Pishvaee, M. S. (2015). A reliable closed-loop supply chain network design under uncertainty: A case study of a lead-acid battery manufacturer, Journal of Modeling in Engineering, 12(39): 45-60. 90. Saffari H., Makui A., Mahmoodian V., Pishvaee, M. S. (2015). Multi-objective robust optimization model for social responsible closed-loop supply chain solved by non-dominated sorting genetic algorithm, Journal of Industrial and Systems Engineering, 8(3):42-59. 91. Kalantari M., Hayati Z., Shahmoradi-Moghaddam H.,Pishvaee, M. S. (2014). The analysis of implementing the objectification of subsidy plan on drug supply chain: A system dynamics approach, Journal of Modiriat-e-Farda, 13(41): 19-34. 92. Lari A.R., Mehrkar J., Pishvaee, M. S. (2014). Assessing the remedy policies of “Urmia Lake” basin crises by a system dynamics approach, Journal of Modiriat-e-Farda, 13(40): 37-62. 93. Zahiri B., Tavakkoli-Moghaddam R., Pishvaee, M. S. (2014). A robust possibilistic programming approach to multi-period location-allocation of organ transplant centers under uncertainty, Computers & Industrial Engineering, 74: 139–148. 94. Pishvaee, M. S., Razmi J., Torabi S.A., (2014). An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain, Transportation Research Part E: Logistics and Transportation Review, 67: 14-38. 95. Babazadeh R., Jolai F., Razmi J., Pishvaee, M. S. (2014).Developing a robust programming approach for the responsive logistics network design under uncertainty,International Journal of Industrial Engineering, 21(1): 1-17. 96. Manzour H., Torabi S.A., Pishvaee, M. S. (2013). New heuristic methods for the single-source capacitated multi facility Weber problem. International Journal of Advanced Manufacturing Technology, 69: 1569-1579. 97. Razmi J., Amini A., Pishvaee, M. S. (2013). A new mixed-integer programming model for joint inventory-transportation problem in a social responsible supply chain, International Journal of Services and Operations Management. 98. Pishvaee, M. S., RazmiJ., Torabi S.A., (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach, Fuzzy Sets and Systems, 206: 1-20. 99. Pishvaee, M. S., Torabi S.A., Razmi J., (2012). Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty, Computers & Industrial Engineering, 62: 624-632. 100. Pishvaee, M. S., Razmi J., (2012). Environmental supply chain network design using multi-objective fuzzy mathematical programming, Applied Mathematical Modelling, 36: 3433-3446. 101. Pishvaee, M. S., Rabbani M., (2011). Agraph theoretic-based heuristic algorithm for responsive supply chain network designwith direct and indirect shipment, Advances in Engineering Software, 42: 57-63. 102. Pishvaee, M. S., Rabbani M., Torabi S.A., (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty, Applied Mathematical Modelling, 35: 637-649. 103. Babazadeh R., Razmi J., Pishvaee, M. S., (2011). Robust Facility Location in Supply Chain Network Design under Risk, International Journal of Mechanic Systems Engineering. 104. Razmi J., Seifoory M., Pishvaee, M. S., (2011). A Fuzzy Multi-Attribute Decision Making Model for Selecting the Best Supply Chain Strategy: Lean, Agile or Leagile, Journal of Industrial Engineering, University of Tehran, Special Issue, PP. 127-142. 105. Pishvaee, M. S., Torabi S.A., (2010). A possibilistic programming approach for closed-loop supply chain network design under uncertainty, Fuzzy Sets and Systems, 161: 2668–2683. 106. Pishvaee, M. S., Farahani R.Z., Dullaert W., (2010). A memetic algorithm for bi-objective integrated forward/reverse logistics network design, Computers & Operations research, 37: 1100-1112. 107. Pishvaee, M. S., Kianfar K., Karimi B., (2010). Reverse logistics network design using simulated annealing, Int. J. of advanced manufacturing technology,47:269–281. 108. Pishvaee, M. S., Jolai F., Razmi J., (2009). A stochastic optimization approach to integrated forward/reverse logistics network design, Journal of manufacturing systems, Journal of Manufacturing Systems, 28: 107-114. 109. Pishvaee, M. S., Fathi M., Jolai F., (2008). A fuzzy clustering-based method for scenario analysis in strategic planning: The case of an Asian pharmaceutical company. South African Journal of Business Management, 39: 15-25. |