model supplychain /all/;
solve supplychain using minlP maximizing trt;
هدی داورزنی ، حسام الدین ذگردی . کتاب تحریم و اختلالات در زنجیره تامین ، تجزیه تحلیل و راهکارهای مقابله با آن
A. Amiri, Designing a distribution network in a supply chain system: formulation and efficient solution procedure, Eur. J. Oper. Res. 171 (2) (2006) 567-576.
A. Azaron, K.N. Borwn, S.A. Tarim, M. Modarres, A multi-objective stochastic programming approach for supply chain design considering risk, Int. J. Product. Econ. 116 (2008) 129-138.
Altiparmak, F., Gen, M., Lin, L., Paksoy, T., (2006), A genetic algorithm approach for multi-objective optimization of supply chain networks, Computers & Industrial Engineering,51(1), 196-215.
Amanda J.Schmitt n, MahenderSingh . A quantitative analysis of disruption risk in a multi-echelon supply chain . 2012
Anastasios Xanthopoulos, DimitriosVlachos,EleftheriosIakovou n .Optimal news vendor policies for dual-sourcing supply chains :A disruption risk management framework ..2012
Associated Press, 2008. Winter storm chaos grips China. USA Today, January 29, 2008.
Atefeh Baghalian, Shabnam Rezapour, Reza Zanjirani Farahani .Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case . 2013
Azad, N., Davoudpour, H., (2008), A hybrid Tabu-SA algorithm for location-inventory model with considering capacity levels and uncertain demands, Journal of Information and Computing Science, 3(4), 290-304.
Balaji, A.N., Jawahar, N., (2010), A Simulated Annealing Algorithm for a two-stage fixed charge distribution problem of a Supply Chain, International Journal of Operational Research.
Ballou RH.Business logistics management .3rded.Engle wood Cliffs:Prentice- Hall; 1992.
Beamon, B.M., (1998), Supply Chain Design and Analysis: Models and Methods, International Journal of Production Economics, 55(3), 281-294.
Berman, O., Krass, D., Menezes, M.B.C., 2007. Facility reliability issues in network p-median problems: strategic centralization and co-location effects. Operations Research 55 (2), 332-350 .
Bhaskar V,LallementP.Activityroutinginadistributedsupplychain:performance evaluation with two inputs .JournalofNetworkandComputerApplications2008;31:402-28.
Brindley, C. 2004. Supply chain risk, Burlington, Ashgate publishing company.
Bunschuh, M., Klabjan, D., Thurston, D., 2006. Modeling robust and reliable supply chains. Working Paper, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Chaya Losada, M. Paola Scaparra , Jesse R. O’Hanley . Optimizing system resilience: A facility protection model with recovery time .2012
Chen, C.L., Lee, W.C., (2004), Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices, Computers & Chemical Engineering,28(6-7), 1131-1144.
Chopra, S. & Sodhi, M. S. 2004. Managing risk to avoid supply chain breakdown. MIT Sloan Management Review, 46, 53-61.
Chopra, S., Meindle, P., (2001), Supply chain management: Strategy, planning, operation (1 st ed.), NJ, USA: Prentic Hall, Upper Saddle River.
Christopher, M. & Lee, H. 2004. Mitigating supply chain risk through improved confidence. International journal of physical distribution and logistics management, 34, 388-396.
Christopher, M., & Towill, D. (2000). Supply chain migration from lean and functional to agile and customized. Supply Chain Management: An International Journal, 5(4), 206-213.
Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J. & Handfield, R. B. 2007. The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Science, 38, 131-156.
Cui, T., Ouyang, Y., Shen, Z.-J.M., 2010. Reliable facility location design under the risk of disruptions. Operations Research 58 (4-Part-1), 998-1011.
CundariS, CzerwinskiJJ, KitfieldJ,MasonD,SandsC.TheU.S.-Canada strategic partnership in the war on terrorism /http://www.thepresidenc org/storage/documents/ScienceTechnology2008/US_and_Canada.pdfS; 2008.
D.H. Lee, M. Dong, Dynamic network design for reverse logistics operations under uncertainty, Transp. Res. Part E 45 (2009) 61-71.
Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.,. A fast elitist non-dominated sorting genetic algorithm for multi- Objective optimization: NSGA-II. In: Proceedings of the parallel problem solving from nature VI (PPSN-VI) conference, pp.
Deb, K., Goel, T.. Controlled elitist non-dominated sorting genetic algorithms for better convergence, In: proceedings of the first international conference on evolutionary multicriterion optimization .
Drezner, Z., 1987. Heuristic solution methods for two location problems with unreliable facilities. The Journal of the Operational Research Society 38 (6), 509-514.
Duncan, M., 2010. Heavy snow brings Beijing to standstill. Reuters January 3, 2010. Federgruen, A., Yang, N., 2008. Selecting a portfolio of suppliers under demand and supply risks. Operations Research 56 (4), 916-936.
E.H. Sabri, B.M. Beamon, A multi-objective approach to simultaneous strategic and operational planning in supply chain design, OMEGA 28 (2000) 581-598.
Ellis, S.C.,Henry,R.M.,Shockley,J.,2010.Buyerperceptionsofsupplydisruption risk: a behavioral view and empirical assessment. Journal of Operations Management 28,34-46.
Erbao Cao, CanWanc, MingyongLai .Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruption ..2013
Eskigun, E., Uzsoy, R., Preckel, P.V., Beaujon, G., Krishnan, S., Tew, J.D., (2005), Outbound supply chain network design with mode selection, lead times and capacitated vehicle distribution centers, European Journal of Operational Research, 165(1), 182-206.
F. Altiparmak, M. Gen, L. Lin, T. Paksoy, A genetic algorithm approach for multi-objective optimization of supply chain networks, Comput. Indus. Eng. 51 (2006) 197-216.
F. Schultmann, Z. Moritz, R. Otto, Modeling reverse logistic tasks within closed-loop supply chains: an example from the automotive industry, Eur. J.Oper. Res. 171 (2006) 1033-1050.
F.T.S. Chan, S.H. Chung, A multi-criterion genetic algorithm for order distribution in a demand driven supply chain, Int. J. Comput. Integrat. Manufact. 17 (4) (2004) 339-351.
Feng Pan,RakeshNagi. Multi-echelon supply chain network design in agile manufacturing . 2013
Finch, P.,2004.Supplychainriskmanagement.SupplyChainManagement:An International Journal9(2),183-196.
Flower, T.,2001.$150millionlossexpected/no.2computermakercitesAsian typhoons, attacks, slump. HoustonChronicle2October.
G. Guillen, F.D. Mele, M.J. Bagajewicz, A. Espuna, L. Puigjaner, Multiobjective supply chain design under uncertainty, Chem. Eng. Sci. 60 (2005) 1535- 1553.
G. Kannan, P. Sasikumar, K. Devika, A genetic algorithm approach for solving a closed loop supply chain model: a case of battery recycling, Appl. Math. Modell. 34 (2010) 655-670.
Gen, M., Syarif, A., (2005), Hybrid genetic algorithm for multi-time period production/distribution planning, Computers & Industrial Engineering, 48(4), 799-809.
George mavrotas . effective implementation of the constraint method in multi-objective mathematical programming problems . 2009
H. Baumgarten, B. Christian, F. Annerous, S.D. Thomas, Supply chain management and reverse logistics-integration of reverse logistics processes into supply chain management approaches, in: Proceedings of the Electronics and the Environment, on IEEE International Symposium, IEEE ComputerSociety, Washington, 2003, pp. 79-83.
H. Hishamuddin, R.A, Sarker ,D. Essam A disruption recovery model for a single stage production-inventory system …2012
H. ـster, G. Easwaran, E. Akçali, S. اetinkaya, Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain network design model, Naval Res. Logist. 54 (2007) 890-907.
H.Hishamuddin a,b,., R.A. Sarker a, D. Essam A recovery model for a two-echelon serial supply chain with consideration of transportation disruption..2013
Hale, T. & Moberg, C. R. 2005. Improving supply chain disaster preparedness: A decision process for secure site location. International Journal of Physical Distribution & Logistics Management 35, 195-207.
Harrison, T. P. (2004). Principles for the strategic design of supply chains. In T. P.Harrison, H. L. Lee, & J. J. Neale (Eds.), The practice of supply chain management:Where theory and application converge (pp. 3-12). New York: Springer.
Hasan, M., Alkhamis, T., Ali, J., (2000), A comparison between simulated annealing, genetic algorithm and tabu search methods for the unconstrained quadratic Pseudo-Boolean function, Computers & Industrial Engineering, 38(3), 323-340.
Hauser, L. M. 2003. Risk-adjusted supply chain management. Supply Chain Management Review, 7, 64-71.
Hendricks, K. & Singhal, V. R. 2005. The effect of supply chain disruptions on longterm shareholder value, profitability, and share price volatility. Atlanta: Research report, Georgia Institute of Technology, USA.
Hendricks, K. B. & Singhal, V. R. 2005. Association between supply chain glitches and operating