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Modeling supplier selection and the use of option contracts for global supply chain design. (English) Zbl 1160.90325

Summary: As supply chains become more and more dependent on the efficient movement of materials among facilities that are geographically dispersed there is more opportunity for disruption. One of the common disruptions is the loss of production capability at supplier sites. We formulate a two-stage stochastic program and a solution procedure to optimize supplier selection to hedge against these disruptions. This model allows for the effective quantitative exploration of the trade-off between cost and risks to support improved decision-making in global supply chain design. A realistic case study is explored.

MSC:

90B06 Transportation, logistics and supply chain management
90C15 Stochastic programming
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[1] Landeghem, H.; Vanmaele, H., Robust planning: a new paradigm for demand chain planning, Journal of Operations Management, 20, 769-783 (2002)
[2] Thomas M. Supply chain reliability for contingency operations. In: Annual reliability and maintainability symposium, 2002. p. 61-7.; Thomas M. Supply chain reliability for contingency operations. In: Annual reliability and maintainability symposium, 2002. p. 61-7.
[3] Berger, P. D.; Gerstenfeld, A.; Zeng, A. Z., How many suppliers are best? A decision-analysis approach, Omega, 32, 9-15 (2004)
[4] Blackhurst, J.; Wu, T.; O’Grady, P., Network-based approach to modelling uncertainty in a supply chain, International Journal of Production Research, 15, 1639-1658 (2004) · Zbl 1099.90511
[5] Beale, E., On minimizing a convex function subject to linear inequalities, Journal of the Royal Statistical Society, 17, 173-184 (1955) · Zbl 0068.13701
[6] Dantzig, G. B., Linear programming under uncertainty, Management Science, 1, 197-206 (1955) · Zbl 0995.90589
[7] Birge, J.; Louveaux, F., Introduction to stochastic programming (1997), Springer: Springer New York · Zbl 0892.90142
[8] Laporte, G.; Louveaux, F., The integer L-shaped method for stochastic integer programs with complete recourse, Operations Research Letters, 13, 3, 133-142 (1993) · Zbl 0793.90043
[9] Van Slyke, R. M.; Wets, R. J.B., L-shaped programs with applications to optimal control and stochastic linear programming, SIAM Journal of Applied Mathematics, 17, 4, 638-663 (1969) · Zbl 0197.45602
[10] Wollmer, R., Two stage linear programming under uncertainty with 0-1 integer first stage variables, Mathematical Programming, 19, 279-288 (1980) · Zbl 0442.90076
[11] Bawa, V., Optimal rules for ordering uncertain prospects, Journal of Financial Economics, 2, 95-121 (1975)
[12] Fishburn, P. C., Mean-risk analysis with risk associated with below-target returns, The American Economic Review, 67, 116-126 (1997)
[13] Mulvey, J.; Vanderbei, R. J.; Zenios, S. A., Robust optimization of large-scale systems, Operations Research, 43, 254-281 (1995) · Zbl 0832.90084
[14] Paraskevopoulos, D.; Karakitsos, E.; Rustem, B., Robust capacity planning under uncertainty, Management Science, 37, 787-800 (1991) · Zbl 0729.90670
[15] Owen, S.; Daskin, D., Strategic facility location, European Journal of Operational Research, 111, 423-447 (1998) · Zbl 0938.90048
[16] Malcolm, S. A.; Zenios, S., Robust optimization for power systems capacity expansion under uncertainty, Journal of the Operational Research Society, 45, 1040-1049 (1994) · Zbl 0815.90108
[17] Escudero, L. F.; Kamesam, P. V.; King, A. J.; Wets, R. J., Production planning via scenario modeling, Annals of Operations Research, 43, 311-335 (1993) · Zbl 0784.90033
[18] Mulvey, J.; Ruszczynski, A., A new scenario decomposition method for large-scale stochastic optimization, Operations Research, 43, 477-490 (1995) · Zbl 0843.90086
[19] Soteriou, A. C.; Chase, R. B., A robust optimization approach for improving service quality, Manufacturing & Service Operations Management, 2, 264-286 (2000)
[20] Yu, C.; Li, H., A robust optimization model for stochastic logistic problems, International Journal of Production Economics, 64, 385-397 (2000)
[21] Liu C, Fan Y, Ordóňez F. A two-stage stochastic programming model for transportation network protection. Computers & Operations Research 2009;36:1582-90.; Liu C, Fan Y, Ordóňez F. A two-stage stochastic programming model for transportation network protection. Computers & Operations Research 2009;36:1582-90. · Zbl 1179.90246
[22] Listeş, O., A generic stochastic model for supply-and-return network design, Computers & Operations Research, 34, 417-442 (2007) · Zbl 1113.90024
[23] List, G.; Wood, B.; Nozick, L.; Turnquist, M.; Jones, D.; Kjeldgaard, E.; Lawton, C., Robust optimization for fleet planning under uncertainty, Transportation Research, Part E, 39, 3, 209-227 (2003)
[24] Xu, N.; Davidsion, R. A.; Nozick, L. K.; Dodo, A., The risk-return tradeoff in optimizing regional mitigation investment, Structure and Infrastructure Engineering, 3, 2, 133-146 (2007)
[25] Snyder, L., Facility location under uncertainty: a review, IIE Transactions, 38, 537-554 (2006)
[26] Syam, S., Multiperiod capacity expansion in globally dispersed regions, Decision Sciences, 31, 1, 173-195 (2000)
[27] Syam, S., A model for the capacitated p-facility location problem in a global context, Computers & Operations Research, 24, 11, 1005-1016 (1997) · Zbl 0889.90105
[28] Daskin, M.; Hesse, S.; ReVelle, C., \( \alpha \)-reliability p-minimax regret: a new model for strategic facility location modeling, Location Science, 5, 4, 227-246 (1997) · Zbl 0917.90231
[29] Chen, G.; Daskin, M.; Shen, Z.; Uryasev, S., The \(\alpha \)-reliable mean-excess regret model for stochastic facility location modeling, Naval Research Logistics, 53, 617-626 (2006) · Zbl 1106.90050
[30] Snyder, L.; Daskin, M.; Teo, C., The stochastic location model with risk pooling, European Journal of Operational Research, 179, 3, 1221-1238 (2007) · Zbl 1127.90039
[31] Snyder, L.; Daskin, M., Reliability models for facility location: the expected failure cost case, Transportation Science, 39, 3, 400-416 (2005)
[32] Snyder, L.; Daskin, M., Stochastic \(p\)-robust location problems, IIE Transactions, 38, 971-985 (2006)
[33] Santoso, T.; Ahmed, S.; Goetschalckx, M.; Shapiro, A., A stochastic programming approach for supply chain network design under uncertainty, European Journal of Operational Research, 167, 96-115 (2005) · Zbl 1075.90010
[34] Black, F.; Scholes, M., The pricing of options and corporate liabilities, Journal of Political Economics, 81, 637-659 (1973) · Zbl 1092.91524
[35] Merton, R., Theory of rational option pricing, The Bell Journal of Economics Management Science, 4, 141-183 (1973) · Zbl 1257.91043
[36] Smith, C., Option pricing: a review, Journal of Financial Economics, 3, 3-51 (1976)
[37] Ritchen, P.; Tapiero, C., Contingent claims contracting for purchasing decisions in inventory management, Operations Research, 34, 864-870 (1986) · Zbl 0617.90016
[38] Barnes-Schuster, D.; Bassok, Y.; Anupindi, R., Coordination and flexibility in supply contracts with options, Manufacturing Service Operations Management, 4, 171-207 (2002)
[39] Chang C. Semiconductor contract manufacturing. Report #SCMS-WW-FR-9601, Dataquest Corporation; 1996.; Chang C. Semiconductor contract manufacturing. Report #SCMS-WW-FR-9601, Dataquest Corporation; 1996.
[40] Cole J. Boeing’s surplus lot filling up, Seattle Times, October 4, 1998.; Cole J. Boeing’s surplus lot filling up, Seattle Times, October 4, 1998.
[41] Dada, M.; Petruzzi, N. C.; Schwarz, L. B., A newsvendor’s procurement problem when suppliers are unreliable, Manufacturing and Service Operations Management, 9, 9-32 (2007)
[42] Tomlin, B. T., On the value of mitigation and contingency strategies for managing supply chain disruption risks, Management Science, 52, 639-657 (2006) · Zbl 1232.90200
[43] Ahuja, R. K.; Magnanti, T. L.; Orlin, J. B., Network flows (1993), A Simon & Schuster Company: A Simon & Schuster Company Englewood Cliffs, NJ · Zbl 1201.90001
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