منابع پایان نامه ارشد درمورد Environment

performance. Management Science, 51, 695-711.
Henrik Thun , Daniel Hoenig .An empirical analysis of supply chain risk management in the German automotive industry,
Hugo, A., & Pistikopoulos, E. N. (2005). Environmentally conscious long-range planning and design of supply chain networks. Journal of Cleaner Production, 13, 1471-1491.
Hwang, H.S., (2002), Design of supply-chain logistics system considering service level, Computers & Industrial Engineering, 43(1-2), 283-297.
Hwang, M.H., Huang, Y.F., (2011), Development of an approach to coordinate the objectives for members of a supply chain, African Journal of Business Management, 5(3), 1001-1013.
I. Erol, W.G. Ferrell Jr, A methodology to support decision making a cross the supply chain of an industrial distributor, Int. J. Product. Econ. 89 (2004) 119-129.
Inda Sukatia, Abu Bakar Hamida, Rohaizat Baharuna, Rosman Md Yusoffa .The Study of Supply Chain Management Strategy and Practices on Supply Chain Performance ..
Isabel Correia, Teresa Melo, Francisco Saldanha .Comparing classical performance measures for a multi-period, two-echelon supply chain network design problem with sizing decisions .2013
Jayaraman, V., Pirkul, H., (2001), Planning and coordination of production and distribution facilities for multiple commodities, European Journal of Operational Research, 133(2), 394-408.
Jayaraman, V., Ross, A., (2003), A simulated annealing methodology to distribution network design and management, European Journal of Operational Research, 144(3), 629-645.
Juttner, U. 2005. Supply chain risk management: Understanding the business requirements from a practitioner perspective. The international journal of logistics management, 16,120 – 141.
Kalyanmoy Deb, Associate Member, IEEE, Amrit Pratap, Sameer Agarwal, and T. Meyarivan . A Fast and Elitist Multiobjective Genetic Algorithm :NSGA-II 2002
Kar, Arpan K., 2010. Risk in Supply Chain Management. http:// businessfundas.com/2010/risk-in-supply-chain-management (accessed 17.08.12).
Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P., (1983), Optimization by simulated annealing, Sience, 220, 671-680.
Kleindorfer, P. R. & Wu, D. J. 2003. Integrating long-term and short-term contracting via business-to-business exchanges for capital-intensive industries. Management Science,13, 46-62.
Kleindorfer, P., Saad, G., 2005. Managing disruption risks in supply chains. Production and Operations Management 14 (1), 53-68.
Kleindorfer,P.R.,Saad,G.H.,2005.Managingdisruptionrisksinsupply chains. Production and Operations Management14(1),53-68.
Knemeyer, A. M., Zinn, W., & Eroglu, C. (2009). Proactive planning for catastrophic events in supply chains. Journal of Operations Management, 27(2), 141-153.
Lambert, D.M., Cooper, M.C., (2000), Issues in supply chain management, Industrial Marketing Management, 29(1), 65-83.
Latour, A., 2001. Trial by fire: A blaze in albuquerque sets off major crisis for cell-phone giants. Wall Street Journal, January 29.
Lee, H. L. & Whang, S. 2005. Higher supply chain security with lower cost: Lessons from total quality management. Intenational Journal of Production Economics, 96,289-300.
Li, G., Lin, Y., Wang, S. & Yan, H. 2006. Enhancing agility by timely sharing of supply information. Supply Chain Management: An International Journal, 11, 425-435.
Li, X., Ouyang, Y., 2010. A continuum approximation approach to reliable facility location design under correlated probabilistic disruptions. Transportation Research Part B 44 (4), 535-548.
Lim, M., Daskin, M.S., Bassamboo, A., Chopra, S., 2009. Facility location decisions in supply chain networks with random disruption and imperfectinformation. Working Paper, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL.
Lim, M., Daskin, M.S., Bassamboo, A., Chopra, S., 2010. A facility reliability problem: formulation, properties and algorithm. Naval Research Logistics 57, 58-70.
Liu, S., Papageorgiou, L.G., (2013), Multi objective optimization of production, distribution and capacity planning of global supply chains in the process industry, Omega, 41(2), 369-382.
Lundy, M., Mees, A., (1986), Convergence of an annealing algorithm, Mathematical Programming, 34(1), 111-124.
M. El-Sayed, N. Afia, A. El-Kharbotly, A stochastic model for forward-reverse logistics network design under risk, Comput. Indus. Eng. 58 (2010) 423-431.
M. Fleischmann, P. Beullens, J.M. Bloemhof-ruwaard, L. Wassenhove, The impact of product recovery on logistics network design, Product. Oper. Manag. 10 (2001) 156-173.
M. Gen, A. Syarif, Hybrid genetic algorithm for multi-time period production/distribution planning, Comput. Indus. Eng. 48 (4) (2005) 799-809.
M. Goh, J.Y.S. Lim, F. Meng, A stochastic model for risk management in global chain networks, Eur. J. Oper. Res. 182 (1) (2007) 164-173.
M. Goh, J.Y.S. Lim, F. Meng, A stochastic model for risk management in global chain networks, Eur. J. Oper. Res. 182 (1) (2007) 164-173.
M.I.G. Salema, A.P. Barbosa-Povoa, A.Q. Novais, An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty, Eur. J. Oper. Res. 179 (2007) 1063-1077.
M.R. Pishvaee, R.Z. Farahani, W. Dullaert, A memetic algorithm for bi-objective integrated forward/reverse logistics network design, Comput. Oper. Res. 37 (6) (2010) 1100-1112.
M.T. Melo, S. Nickel, F. Saldanha-da-Gama, Facility location and supply chain management – A review, Eur. J. Oper. Res. 196 (2009) 401-412.
M.T. Melo, S. Nickel, F. Saldanha-da-Gama, Facility location and supply chain management – A review, Eur. J. Oper. Res. 196 (2009) 401-412.
Majid Ramezani, Mahdi Bashiri , Reza Tavakkoli-Moghaddam ,A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level.
Marley, K. A. 2006. Mitigating supply chain disruptions; essays on lean mangement, integrative complexity and tight coupling. Doctor of Philosophy, The Ohio State University.
Martha, J.,Subbakrishna,S.,2002.Targetingajust-in-casesupplychainforthe inevitable nextdisaster .Supply Chain Management Review September.
Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H., Teller, E., (1953), Equation of state calculations by fast computing machines, Journal of Chemical Physics, 21(6), 1087-1092.
Mirzapour Al-e-hashem, S.M.J., Malekly, H., Aryanezhad, M.B., (2011), A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty, International Journal of Production Economics, 134(1), 28-42.
NoorulHaqA, KannanG.Design of an integrated suppliers election and multi-echelon distribution inventory model in abuilt-to-order supply chain environment. International Journal of Production Research 2006;44(10):1963-85.
Norrman, A., Sweden, L., & Jansson, U. (2004). Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident. International Journal of Physical Distribution and Logistics Management, 34(5), 434-456.
Norrman, A.,Jansson,U.,2004.Ericsson’sproactiveriskmanagement approach after a serious sub-supplier accident. International Journal of Physical Distribution and Logistics Management34(5),434-456.
P. Tsiakis, N. Shah, C.C. Pantelides, Design of multi echelon supply chain networks under demand uncertainty, Indus. Eng. Chem. Res. 40 (2001) 3585- 3604.
Peck, H. 2005. Drivers of supply chain vulnerability : An integrated framework. International Journal of Physical Distribution &Logistics Management, 35, 210-232.
Peng Peng, Snyder Andrew, Lawrence V., Lim, Zuli Liu . Reliable logistics networks design with facility disruptions . 2011
Petrovic, D., Roy, R., Petrovic, R., (1998), Modelling and simulation of a supply chain in an uncertain environment, European Journal of Operational Research, 109(2), 299-309.
Petrovic, D., Roy, R., Petrovic, R., (1999), Supply chain modelling using fuzzy sets, International Journal of Production Economics, 59(1-3), 443-453.
Pickett, C. 2006. Prepare for supply chain disruptions before they hit. Logistics Today 47, 22-25.
Qi, X., Bard, J. F., & Yu, G. (2004). Supply chain coordination with demand disruptions: [doi: 10.1016/j.omega.2003.12.002]. Omega, 32, 301-312.
Qingwei Li,BoZeng,AlexSavachkin .Reliable facility location design under disruptions..2013
R.B. Franca, E.C. Jones, C.N. Richards, J.P. Carlson, Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality, Int.J. Product. Econ.
R.Z. Farahani, M. SteadieSeifi, N. Asgari, Multiple criteria facility location problems: A survey, Appl. Math. Model. 34 (2010) 1689-1709.
Rice, J. & Caniato, F. 2003. Building a secure and resilient supply network. Supply Chain Management Review, 7, 22-31.
Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case. Atefeh Baghalian, Shabnam Rezapour, Reza Zanjirani Farahani
Ross, D.F., (2011), Introduction to Supply Chain Management Technologies (2nd ed.), Boca Raton: CRC Press / Taylor & Francis.
S. Huijun, G. Ziyou, W. Jianjun, A bi-level programming model and solution algorithm for the location of logistics distribution centers, Appl. Math. Modell. 32 (2008) 610-616.
S. Pokharel, A. Mutha, Perspectives in reverse logistics: A review, Resour. Conserv. Recycl. 53 (2009) 175-182.
Sadjady, H., Davoudpour, H.,

دیدگاهتان را بنویسید