یک مدل برنامه ریزی استوار امکانی برای برنامه ریزی اصلی زنجیره تامین دارو

[1] Mahallati,V., (2012),“Management of Drug Supply Chain at 2025".

[2] Torabi, S.A., Hassini,E., (2008), “An interactive possibilistic programming approach for multiple objective supply chain master planning”, Fuzzy Sets Syst. 159: 193-214.

[3] Mula, J., Poler, R., Garcia, J.P., (2006), “MRP with flexible constraints: a fuzzy mathematical programming approach”, Fuzzy Sets and Systems 157: 74-97.

[4] Alem, D. J., Morabito, R., (2012), “Production planning in furniture settings via robust optimization”, Computers & Operations Research 39 (2):139-150.

[5] Sousa, R., shah. N., Papageorgiou, L., (2005), “Global Supply Chain Network Optimisation for Pharmaceuticals”, European Symposium on Computer Aided Process Engineering 20: 1189-1194.

[6] Susarla, N., Karimi, I.A., (2012), “Integrated supply chain planning for multinational pharmaceutical enterprises”, Computers and Chemical Engineering 42: 168– 177.

[7] Kao, C., Hsu, W., (2002), “A Single-Period Inventory Model with Fuzzy Demand”, Computers and Mathematics with Applications 43: 841-848.

[8] Liang, T.F., (2006), “Distribution planning decisions using interactive fuzzy multi-objective linear programming”, Fuzzy Sets and Systems 157: 1303-1316.

[9] Liang, T.F., (2006), “Integrating production–transportation planning decision with fuzzy multiple goals in supply chains”, International Journal of Production Research 46(6): 1477-1494.

[10] Maitya, K., Maitib, M., (2008), “A numerical approach to a multi-objective optimal inventory control problem for deteriorating multi-items under fuzzy inflation and discounting”, Computers and Mathematics with Applications 55: 1794-1807.

[11] Selim, H., Ozkarahan, I., (2008), “A supply chain distribution network design model: an interactive fuzzy goal programming-based solution approach”, Internet. J. Adv. Manuf. Technol 36(3): 401-418.

[12] Handfield, R., Warsing, D., (2009), “(Q, R) Inventory policies in a fuzzy uncertain supply chain environment”, European Journal of Operational Research 197(2): 609-619.

[13] Tanthatemee T., Phruksaphanrat B., Member, IAENG., (2012), “Fuzzy Inventory Control System for Uncertain Demand and Supply”, proceeding of the International Multi Conference of Engineers and Computer scientisits, March 14-16, Hong kong.

[14] Gutierrez, G., Kouvelis, P., Kurawala, A., (1996), “A robustness approach to uncapacitated network design problems”, European Journal of Ope1995 rational Research 94: 362-76.                       

[15] Leung, S. C. H., Tsang, S. O. S., Ng, W. L., Wu, Y., (2007), “A robust optimization model for multi-site production planning problem in an uncertain environment”, European Journal of Operational Research 181: 224-238.                     

[16] Pan, F., Nagi, R., (2010), “Robust supply chain design under uncertain demand in agile manufacturing”, Computers & Operations Research, 37: 668-683.                                                 

[17] Alem, D. J., Morabi, R., (2012), “Production planning in furniture settings via robust optimization”, Computers & Operations Research 39(2): 139-150. 

[18] Azar, A., Rabieh, M., Modarres yazdi, M., Fetanat fard haghighi, M., (2010), “A Mathematical Model for Fuzzy-Robust multi objective supply selection: An Approach in management of risk of Iran Khodro Chain”, management operations in Iran 15(1): 51-76.

[19] Pishvaee, M.S., Razmi, J., and Torabi, S., (2012), “Robust possibilistic programming for socially responsible supply chain network design: A new approach”, Fuzzy sets and systems 206: 1-20

[20] 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.

[21] Hatami Varzaneh, M., (2002), Secret health with herbs. Fahmideh Shahid Publishing: 254.

[22]. رشیدی، شمس‌اله. فرجی، هوشنگ. جهانبین، داریوش، میرفردی، اصغر (1390). ارزیابی میزان آگاهی، اعتقاد و عملکرد مردم شهر یاسوج، نسبت به گیاهان دارویی، فصلنامه گیاهان دارویی 1(8).

[23] Van Landeghem., H., Vanmaele, H., (2002), “Robust planning:a new paradigm for demand chain planning”, Journal of Operations Management 20: 769-783.

[24] Rezaie, K., Ostadi, B., Torabi, S.A., (2008), “Activity-based costing in flexible manufacturing systems with a case study in a forging industry”, International Journal of Production Research 46(4): 1047-1069.

[25] Degraeve, Z., Roodhooft, F., Van Doveren, B., (2005), “The Use of Total Cost of Ownership for Strategic Procurement: A Company-Wide” Management Information System, J. Oper. Res. Soc. 56: 51-59.

[26] Kanyalkar, A.P., Adil, G.K., (2007), “Aggregate and detailed production planning integrating procurement and distribution plans in a multi-site environment”, Internat. J. Prod. Res 45(22):5329-5355.

[27] Agha Mohammad Ali Kermani, M., Malaei, A., Nasiri, M., (2011), “Presenting a mathematical programming model for green supplier selection”, Proceedings of the 41st International Conference on Computers & Industrial Engineering, USA: 648-653.

[28] Kleijnen J.P.C., (2011), “Ethical issues in modeling: Some reflections”, E. J. of Operational Research. 130: 223-230.

[29] 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.

[30] Jimenez, M., Arenas, M., Bilbao, A., Rodriguez, M.V., (2007), “Linear programming with fuzzy parameters: an interactive method resolution”, European Journal of Operational Research 177: 1599-1609.

[31] Gupte, A., Ahmmed, S., Cheon,M.S., Dey, S., (2013), “Solving Mixed Integer Bilinear Problems Using MILP Formulation”, SIMA Journal on optimization, 23(2), 721-744.