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How to cite this paper
APA: Adabi, F & Omrani, H. (2015). Designing a robust supply chain management based on distributers’ efficiency measurement. Decision Science Letters, 4(1), 15-26.
Chicago/Turabian: Adabi, F & Omrani, H. 2015. "Designing a robust supply chain management based on distributers’ efficiency measurement." Decision Science Letters 4, no. 1 (2015): 15-26.
AMA: Adabi, F & Omrani, H. Designing a robust supply chain management based on distributers’ efficiency measurement. Decision Science Letters. 2015;4(1):15-26.
References
Adabi, F. & Omrani, H. (2015). Designing a supply chain management based on distributers’ efficiency measurement. Uncertain Supply Chain Management. 5(1), DOI: 10.5267/j.uscm.2014.8.002.
Altiparmak, F., Gen, M., Lin, L., & Karaoglan, I. (2009). A steady-state genetic algorithm for multi-product supply chain network design. Computers & Industrial Engineering, 56(2), 521-537.
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.
Baghalian, A., Rezapour, S., & Farahani, R. Z. (2013). Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case. European Journal of Operational Research, 227(1), 199-215.
Bala, K. (2014). Supply chain management: Some issues and challenges-A Review. International Journal of Current Engineering and Technology, 4(2), 947-953.
Cardoso, S. R., Barbosa-P?voa, A. P. F., & Relvas, S. (2013). Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty. European Journal of Operational Research, 226(3), 436-451.
Castillo-Villar, K. K., Smith, N. R., & Herbert-Acero, J. F. (2014). Design and optimization of capacitated supply chain networks including quality measures. Mathematical Problems in Engineering, 17 Pages.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Costa, A. M., França, P. M., & Lyra Filho, C. (2011). Two-level network design with intermediate facilities: an application to electrical distribution systems. Omega, 39(1), 3-13.
Gan, M., Li, Z., & Chen, S. (2014). On the transformation mechanism for formulating a multiproduct two-layer supply chain network design problem as a network flow model. Mathematical Problems in Engineering, 13 Pages.
Ganeshan, R., & Harrison, T. P. (1995). An introduction to supply chain management. Department of Management Science and Information Systems,303.
Georgiadis, M. C., Tsiakis, P., Longinidis, P., & Sofioglou, M. K. (2011). Optimal design of supply chain networks under uncertain transient demand variations. Omega, 39(3), 254-272.
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.
Klimberg, R. K., & Ratick, S. J. (2008). Modeling data envelopment analysis (DEA) efficient location/allocation decisions. Computers & Operations Research, 35(2), 457-474.
Meixell, M. J., & Gargeya, V. B. (2005). Global supply chain design: A literature review and critique. Transportation Research Part E: Logistics and Transportation Review, 41(6), 531-550.
Melo, M. T., Nickel, S., & Saldanha da Gama, F. (2006). Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning. Computers & Operations Research, 33(1), 181-208.
Melo, M. T., Nickel, S., & Saldanha-da-Gama, F. (2009). Facility location and supply chain management–A review. European Journal of Operational Research, 196(2), 401-412.
Minner, S. (2003). Multiple-supplier inventory models in supply chain management: A review. International Journal of Production Economics, 81, 265-279.
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.
Mulvey, J. M., & Ruszczy?ski, A. (1995). A new scenario decomposition method for large-scale stochastic optimization. Operations research, 43(3), 477-490.
Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations research, 43(2), 264-281.
Pan, F., & Nagi, R. (2013). Multi-echelon supply chain network design in agile manufacturing. Omega, 41(6), 969-983.
Pierce, N. A., & Giles, M. B. (1997). Preconditioned multigrid methods for compressible flow calculations on stretched meshes. Journal of Computational Physics, 136(2), 425-445.
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(20), 2668-2683.
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(2), 637-649.
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy sets and systems, 206, 1-20.
Porembski, M., Breitenstein, K., & Alpar, P. (2005). Visualizing efficiency and reference relations in data envelopment analysis with an application to the branches of a German bank. Journal of Productivity Analysis, 23(2), 203-221.
Salema, M. I. G., Barbosa-Povoa, A. P., & Novais, A. Q. (2007). An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty. European Journal of Operational Research, 179(3), 1063-1077.
Sarkis, J., Zhu, Q., & Lai, K. H. (2011). An organizational theoretic review of green supply chain management literature. International Journal of Production Economics, 130(1), 1-15.
Seuring, S. (2013). A review of modeling approaches for sustainable supply chain management. Decision Support Systems, 54(4), 1513-1520.
Shen, Z. (2007). Integrated supply chain design models: a survey and future research directions. Journal of Industrial and Management Optimization, 3(1), 1.
Solo, C. J. (2009). Multi-objective, integrated supply chain design and operation under uncertainty (Doctoral dissertation, The Pennsylvania State University).
Syam, S. S., & Côté, M. J. (2010). A location–allocation model for service providers with application to not-for-profit health care organizations. Omega,38(3), 157-166.
Tang, O., & Nurmaya Musa, S. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25-34.
Wagner, H. M. (1969). Principles of operations research: with applications to managerial decisions. In Principles of operations research: with applications to managerial decisions. Prentice-Hall.
Xu, N., & Nozick, L. (2009). Modeling supplier selection and the use of option contracts for global supply chain design. Computers & Operations Research,36(10), 2786-2800.
Yu, C. S., & Li, H. L. (2000). A robust optimization model for stochastic logistic problems. International Journal of Production Economics, 64(1), 385-397.
Altiparmak, F., Gen, M., Lin, L., & Karaoglan, I. (2009). A steady-state genetic algorithm for multi-product supply chain network design. Computers & Industrial Engineering, 56(2), 521-537.
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.
Baghalian, A., Rezapour, S., & Farahani, R. Z. (2013). Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case. European Journal of Operational Research, 227(1), 199-215.
Bala, K. (2014). Supply chain management: Some issues and challenges-A Review. International Journal of Current Engineering and Technology, 4(2), 947-953.
Cardoso, S. R., Barbosa-P?voa, A. P. F., & Relvas, S. (2013). Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty. European Journal of Operational Research, 226(3), 436-451.
Castillo-Villar, K. K., Smith, N. R., & Herbert-Acero, J. F. (2014). Design and optimization of capacitated supply chain networks including quality measures. Mathematical Problems in Engineering, 17 Pages.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Costa, A. M., França, P. M., & Lyra Filho, C. (2011). Two-level network design with intermediate facilities: an application to electrical distribution systems. Omega, 39(1), 3-13.
Gan, M., Li, Z., & Chen, S. (2014). On the transformation mechanism for formulating a multiproduct two-layer supply chain network design problem as a network flow model. Mathematical Problems in Engineering, 13 Pages.
Ganeshan, R., & Harrison, T. P. (1995). An introduction to supply chain management. Department of Management Science and Information Systems,303.
Georgiadis, M. C., Tsiakis, P., Longinidis, P., & Sofioglou, M. K. (2011). Optimal design of supply chain networks under uncertain transient demand variations. Omega, 39(3), 254-272.
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.
Klimberg, R. K., & Ratick, S. J. (2008). Modeling data envelopment analysis (DEA) efficient location/allocation decisions. Computers & Operations Research, 35(2), 457-474.
Meixell, M. J., & Gargeya, V. B. (2005). Global supply chain design: A literature review and critique. Transportation Research Part E: Logistics and Transportation Review, 41(6), 531-550.
Melo, M. T., Nickel, S., & Saldanha da Gama, F. (2006). Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning. Computers & Operations Research, 33(1), 181-208.
Melo, M. T., Nickel, S., & Saldanha-da-Gama, F. (2009). Facility location and supply chain management–A review. European Journal of Operational Research, 196(2), 401-412.
Minner, S. (2003). Multiple-supplier inventory models in supply chain management: A review. International Journal of Production Economics, 81, 265-279.
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.
Mulvey, J. M., & Ruszczy?ski, A. (1995). A new scenario decomposition method for large-scale stochastic optimization. Operations research, 43(3), 477-490.
Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations research, 43(2), 264-281.
Pan, F., & Nagi, R. (2013). Multi-echelon supply chain network design in agile manufacturing. Omega, 41(6), 969-983.
Pierce, N. A., & Giles, M. B. (1997). Preconditioned multigrid methods for compressible flow calculations on stretched meshes. Journal of Computational Physics, 136(2), 425-445.
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(20), 2668-2683.
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(2), 637-649.
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy sets and systems, 206, 1-20.
Porembski, M., Breitenstein, K., & Alpar, P. (2005). Visualizing efficiency and reference relations in data envelopment analysis with an application to the branches of a German bank. Journal of Productivity Analysis, 23(2), 203-221.
Salema, M. I. G., Barbosa-Povoa, A. P., & Novais, A. Q. (2007). An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty. European Journal of Operational Research, 179(3), 1063-1077.
Sarkis, J., Zhu, Q., & Lai, K. H. (2011). An organizational theoretic review of green supply chain management literature. International Journal of Production Economics, 130(1), 1-15.
Seuring, S. (2013). A review of modeling approaches for sustainable supply chain management. Decision Support Systems, 54(4), 1513-1520.
Shen, Z. (2007). Integrated supply chain design models: a survey and future research directions. Journal of Industrial and Management Optimization, 3(1), 1.
Solo, C. J. (2009). Multi-objective, integrated supply chain design and operation under uncertainty (Doctoral dissertation, The Pennsylvania State University).
Syam, S. S., & Côté, M. J. (2010). A location–allocation model for service providers with application to not-for-profit health care organizations. Omega,38(3), 157-166.
Tang, O., & Nurmaya Musa, S. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25-34.
Wagner, H. M. (1969). Principles of operations research: with applications to managerial decisions. In Principles of operations research: with applications to managerial decisions. Prentice-Hall.
Xu, N., & Nozick, L. (2009). Modeling supplier selection and the use of option contracts for global supply chain design. Computers & Operations Research,36(10), 2786-2800.
Yu, C. S., & Li, H. L. (2000). A robust optimization model for stochastic logistic problems. International Journal of Production Economics, 64(1), 385-397.