A fuzzy multi-objective programming approach for determination of resilient supply portfolio under supply failure risks
Tài liệu tham khảo
Aissaoui, 2007, Supplier selection and order lot sizing modeling: a review, Comput. Oper. Res., 34, 16
Amid, 2009, A weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply chain, Int. J. Prod. Econ., 121, 323, 10.1016/j.ijpe.2007.02.040
Azaron, 2008, A multi-objective stochastic programming approach for supply chain design considering risk, Int. J. Prod. Econ., 116, 129, 10.1016/j.ijpe.2008.08.002
Berger, 2006, Single versus multiple sourcing in the presence of risks, J. Oper. Res. Soc., 57, 250, 10.1057/palgrave.jors.2601982
Berger, 2004, How many suppliers are best? A decision- analysis approach, Omega, 32, 9, 10.1016/j.omega.2003.09.001
Carvalho, 2012, Agile and resilient approaches to supply chain management: influence on performance and competitiveness, Logist. Res., 4, 49, 10.1007/s12159-012-0064-2
Chopra, 2004, Managing risk to avoid supply-chain breakdown, Sloan Manag. Rev., 46, 53
Christopher, 2005, Managing risk in the supply chain, 231
Christopher, 2004, Building the resilient supply chain, Int. J. Logist. Manag., 15, 1, 10.1108/09574090410700275
Federgruen, 2008, Selecting a portfolio of suppliers under demand and supply risks, Oper. Res., 56, 916, 10.1287/opre.1080.0551
Fiksel, 2006, Sustainability and resilience: toward a systems approach, Sustain.: Sci., Pract. Policy, 2, 14
Harland, 2003, Risk in supply networks, J. Purch. Supply Manag., 9, 51, 10.1016/S1478-4092(03)00004-9
Harland, 2005, Outsourcing: assessing the risks and benefits for organisations, sectors and nations, Int. J. Oper. Prod. Manag., 25, 831, 10.1108/01443570510613929
Heckmann, 2015, A critical review on supply chain risk – definition, measure and modeling, Omega, 52, 119, 10.1016/j.omega.2014.10.004
Holweg, 2011, On risk and cost in global sourcing, Int. J. Prod. Econ., 131, 333, 10.1016/j.ijpe.2010.04.003
Kim, 2013, An impact of manufacturing flexibility and technological dimensions of manufacturing strategy on improving supply chain responsiveness: business environment perspective, Int. J. Prod. Res., 51, 5597, 10.1080/00207543.2013.790569
Kırılmaz, 2016, A., proactive approach to supply chain risk management: shifting orders among suppliers to mitigate the supply side risks, J. Purch. Supply Manag., 15
Knemeyer, 2009, Proactive planning for catastrophic events in supply chains, J. Oper. Manag., 27, 141, 10.1016/j.jom.2008.06.002
Knight, 2015, Supply market uncertainty: Exploring consequences and responses within sustainability transitions, J. Purch. Supply Manag., 21, 167, 10.1016/j.pursup.2015.04.002
Lee, 2004, The triple-A supply chain, Harv. Bus. Rev., 102
Lee, 2015, Order allocation to cluster suppliers considering supply failure, multiple price discount, and supplier maintenance cost, J. Ind. Prod. Eng., 32, 528
Meena, 2013, Multiple sourcing under supplier failure risk and quantity discount: a genetic algorithm approach, Transp. Res. Part E: Logist. Transp. Rev., 50, 84, 10.1016/j.tre.2012.10.001
Mendoza, 2010, A serial inventory system with supplier selection and order quantity allocation, Eur. J. Oper. Res., 207, 1304, 10.1016/j.ejor.2010.06.034
Park, 2016, Inter-relationship among risk taking propensity, supply chain security practices, and supply chain disruption occurrence, J. Purch. Supply Manag., 22, 120, 10.1016/j.pursup.2015.12.001
Pereira, 2014, Achieving supply chain resilience: the role of procurement, Supply Chain Manag.: Int. J., 19, 626, 10.1108/SCM-09-2013-0346
Ponomarov, 2009, Understanding the concept of supply chain resilience, Int. J. Logist. Manag., 20, 124, 10.1108/09574090910954873
Ruiz-Torres, 2006, A supplier allocation model considering delivery failure, maintenance and supplier cycle costs, Int. J. Prod. Econ., 103, 755, 10.1016/j.ijpe.2005.09.008
Sarkar, 2009, Determining the optimal size of supply base with the consideration of risks of supply disruptions, Int. J. Prod. Econ., 119, 122, 10.1016/j.ijpe.2008.12.019
Sawik, 2013, Selection of resilient supply portfolio under disruption risks, Omega, 41, 259, 10.1016/j.omega.2012.05.003
Sawik, 2014, Joint supplier selection and scheduling of customer orders under disruption risks: single vs. dual sourcing, Omega, 43, 83, 10.1016/j.omega.2013.06.007
Schmitt, 2011, Strategies for customer service level protection under multi-echelon supply chain disruption risks, Transp. Res. Part B: Methodol., 45, 1266, 10.1016/j.trb.2011.02.008
Shaw, 2012, Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain, Expert Syst. Appl., 39, 8182, 10.1016/j.eswa.2012.01.149
Sheffi, Y., Rice, J.B.J., 2005. A supply chain view of the resilient enterprise. MIT Sloan management review 〈http://sloanreview.mit.edu/article/a-supply-chain-view-of-the-resilient-enterprise/〉.
Shin, 2000, Supply management orientation and supplier/buyer performance, J. Oper. Manag., 18, 317, 10.1016/S0272-6963(99)00031-5
Sinha, 2004, Methodology to mitigate supplier risk in an aerospace supply chain, Supply Chain Manag.: Int. J., 9, 154, 10.1108/13598540410527051
Snyder, L.V., Scaparra, P.M., Daskin, M.S., Church, R.L., 2005. Planning for disruptions in supply chain networks. In: Tutorials in Operations Research, INFORMS.
Tang, 2006, Perspectives in supply chain risk management, Int. J. Prod. Econ., 103, 451, 10.1016/j.ijpe.2005.12.006
Tang, 2008, The power of flexibility for mitigating supply chain risks, Int. J. Prod. Econ., 116, 12, 10.1016/j.ijpe.2008.07.008
Tempelmeier, 2002, Simple heuristic for dynamic order sizing and supplier selection with time-varying data, Prod. Oper. Manag., 11, 499, 10.1111/j.1937-5956.2002.tb00474.x
The World Bank, 2011. The world bank supports Thailand’s post-floods recovery effort. Available from: 〈http://www.worldbank.org/en/news/feature/2011/12/13/world-bank-supports-thailands-post-floods-recovery-effort〉 (viewed: 2015.03.16).
The World Economic Forum, 2011. New Models for Addressing Supply Chain and Transport Risk. Available from: 〈https://www.weforum.org/reports/new-models-addressing-supply-chain-and-transport-risk〉 (viewed: 2015.03.13).
Tiwari, 1987, Fuzzy goal programming- an additive model, Fuzzy Sets Syst., 24, 27, 10.1016/0165-0114(87)90111-4
Torabi, 2015, Resilient supplier selection and order allocation under operational and disruption risks, Transp. Res. Part E, 79, 22, 10.1016/j.tre.2015.03.005
Tsai, 2010, Decision making of sourcing and order allocation with price discounts, J. Manuf. Syst., 29, 47, 10.1016/j.jmsy.2010.08.002
Weber, 1993, A multiobjective approach to vendor selection, Eur. J. Oper. Res., 68, 173, 10.1016/0377-2217(93)90301-3
Winston, 2001
Wu, 2010, Fuzzy multi-objective programming for supplier selection and risk modeling: a possibility approach, Eur. J. Oper. Res., 200, 774, 10.1016/j.ejor.2009.01.026
Xanthopoulos, 2012, Optimal newsvendor policies for dual-sourcing supply chains: a disruption risk management framework, Comput. Oper. Res., 39, 350, 10.1016/j.cor.2011.04.010
Yu, 2009, Single or dual sourcing: decision-making in the presence of supply chain disruption risks, Omega, 37, 788, 10.1016/j.omega.2008.05.006
Yücel, 2011, A weighted additive fuzzy programming approach for multi-criteria supplier selection, Expert Syst. Appl., 38, 6281, 10.1016/j.eswa.2010.11.086
Zimmermann, 1978, Fuzzy programming and linear programming with several objective functions, Fuzzy Sets Syst., 1, 45, 10.1016/0165-0114(78)90031-3
Zsidisin, 2003, A grounded definition of supply risk, J. Purch. Supply Manag., 9, 217, 10.1016/j.pursup.2003.07.002
Zsidisin, 2010, Do perceptions become reality? The moderating role of supply chain resiliency on disruption occurrence, J. Bus. Logist., 31, 1, 10.1002/j.2158-1592.2010.tb00140.x