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Managing risk and disruption in production-inventory and supply chain systems: a review. (English) Zbl 1331.90006

Summary: This paper presents a literature review on risk and disruption management in production-inventory and supply chain systems. The review is conducted on the basis of comparing various works published in this research domain, specifically the papers, which considered real-life risk factors, such as imperfect production processes, risk and disruption in production, supply, demand, and transportation, while developing models for production-inventory and supply chain systems. Emphasis is given on the assumptions and the types of problems considered in the published research. We also focus on reviewing the mathematical models and the solution approaches used in solving the models using both hypothetical and real-world problem scenarios. Finally, the literature review is summarized and future research directions are discussed.

MSC:

90B05 Inventory, storage, reservoirs
90B06 Transportation, logistics and supply chain management
90B30 Production models

References:

[1] N. E. Abboud, A discrete-time Markov production-inventory model with machine breakdowns,, Computers and Industrial Engineering, 39, 95 (2001) · doi:10.1016/S0360-8352(00)00070-X
[2] M. H. Al-Rifai, An efficient heuristic optimization algorithm for a two-echelon (R, Q) inventory system,, International Journal of Production Economics, 109, 195 (2007) · doi:10.1016/j.ijpe.2006.12.052
[3] F. B. Atoei, Designing reliable supply chain network with disruption risk,, International Journal of Industrial Engineering Computations, 4, 111 (2013)
[4] S. Bag, A production inventory model with fuzzy random demand and with flexibility and reliability considerations,, Computers and Industrial Engineering, 56, 411 (2009) · doi:10.1016/j.cie.2008.07.001
[5] A. Baghalian, Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case,, European Journal of Operational Research, 227, 199 (2013) · Zbl 1292.90007 · doi:10.1016/j.ejor.2012.12.017
[6] J. Banks, <em>Discrete-event system simulation</em>,, \(5^{th}\) Edition (2014)
[7] J. M. Betts, Calculating target inventory levels for constrained production: A fast simulation-based approximation,, Computers and Operations Research, 49, 18 (2014) · Zbl 1349.90009 · doi:10.1016/j.cor.2014.03.014
[8] C. Blome, Single Versus Multiple Sourcing: A Supply Risk Management Perspective,, in Supply Chain Risk (eds. G. A. Zsidisin and B. Ritchie), 124, 125 (2009) · doi:10.1007/978-0-387-79934-6_8
[9] C. Blome, Supply chain risk management in financial crises-A multiple case-study approach,, International Journal of Production Economics, 134, 43 (2011) · doi:10.1016/j.ijpe.2011.01.002
[10] J. R. Bradley, An improved method for managing catastrophic supply chain disruptions,, Business Horizons, 57, 483 (2014) · doi:10.1016/j.bushor.2014.03.003
[11] Z. H. Che, A particle swarm optimization algorithm for solving unbalanced supply chain planning problems,, Applied Soft Computing, 12, 1279 (2012) · doi:10.1016/j.asoc.2011.12.006
[12] L.-M. Chen, Robust supply chain strategies for recovering from unanticipated disasters,, Transportation Research Part E: Logistics and Transportation Review, 77, 198 (2015) · doi:10.1016/j.tre.2015.02.015
[13] T. C. E. Cheng, An economic production quantity model with flexibility and reliability considerations,, European Journal of Operational Research, 39, 174 (1989) · Zbl 0672.90039 · doi:10.1016/0377-2217(89)90190-2
[14] S. W. Chiu, Optimizing replenishment policy in an EPQ-based inventory model with nonconforming items and breakdown,, Economic Modelling, 35, 330 (2013) · doi:10.1016/j.econmod.2013.07.004
[15] S. W. Chiu, Determining the optimal run time for EPQ model with scrap, rework, and stochastic breakdowns,, European Journal of Operational Research, 180, 664 (2007) · Zbl 1123.90002 · doi:10.1016/j.ejor.2006.05.005
[16] S. Chopra, The importance of decoupling recurrent and disruption risks in a supply chain,, Naval Research Logistics, 54, 544 (2007) · Zbl 1143.90302 · doi:10.1002/nav.20228
[17] S. Chopra, Managing Risk To Avoid Supply-Chain Breakdown,, MIT Sloan Management Review, 46, 53 (2004)
[18] S. Chopra, Reducing the risk of supply chain disruptions,, MIT Sloan Management Review, 55, 73 (2014)
[19] A. Costa, A new efficient encoding/decoding procedure for the design of a supply chain network with genetic algorithms,, Computers and Industrial Engineering, 59, 986 (2010) · doi:10.1016/j.cie.2010.09.011
[20] C. W. Craighead, The severity of supply chain disruptions: Design characteristics and mitigation capabilities,, Decision Sciences, 38, 131 (2007) · doi:10.1111/j.1540-5915.2007.00151.x
[21] P. Dadhich, Developing sustainable supply chains in the UK construction industry: A case study,, International Journal of Production Economics, 164, 271 (2015) · doi:10.1016/j.ijpe.2014.12.012
[22] M. M. de Barros, Petroleum refining flexibility and cost to address the risk of ethanol supply disruptions: The case of Brazil,, Renewable Energy, 77, 20 (2015) · doi:10.1016/j.renene.2014.11.081
[23] L. A. Deleris, Risk management in supply networks using monte-carlo simulation,, Proceedings of the 2005 winter Simulation conference, 1643 (2005) · doi:10.1109/WSC.2005.1574434
[24] A. Diabat, Hybrid algorithm for a vendor managed inventory system in a two-echelon supply chain,, European Journal of Operational Research, 238, 114 (2014) · Zbl 1338.90025 · doi:10.1016/j.ejor.2014.02.061
[25] D. D. Eisenstein, Recovering Cyclic Schedules Using Dynamic Produce-Up-To Policies,, Operations Research, 53, 675 (2005) · Zbl 1165.90452 · doi:10.1287/opre.1040.0201
[26] J. Fang, Sourcing strategies in supply risk management: An approximate dynamic programming approach,, Computers and Operations Research, 40, 1371 (2013) · Zbl 1352.90002 · doi:10.1016/j.cor.2012.08.016
[27] P. Finch, Supply chain risk management,, Supply Chain Management: An International Journal, 9, 183 (2004) · doi:10.1108/13598540410527079
[28] T. L. Friesz, Competition and disruption in a dynamic urban supply chain,, Transportation Research Part B: Methodological, 45, 1212 (2011) · doi:10.1016/j.trb.2011.05.005
[29] G. Gallego, When is a base stock policy optimal in recovering disrupted cyclic schedules?,, Naval Research Logistics, 41, 317 (1994) · Zbl 0801.90053 · doi:10.1002/1520-6750(199404)41:3<317::AID-NAV3220410303>3.0.CO;2-T
[30] L. C. Giunipero, Securing the upstream supply chain: A risk management approach,, International Journal of Physical Distribution and Logistics Management, 34, 698 (2004) · doi:10.1108/09600030410567478
[31] X. Gong, Dynamic Pricing and Inventory Management with Dual Suppliers of Different Leadtimes and Disruption Risks,, Production and Operations Management, 23, 2058 (2014)
[32] P. Guchhait, A production inventory model with fuzzy production and demand using fuzzy differential equation: An interval compared genetic algorithm approach,, Engineering Applications of Artificial Intelligence, 26, 766 (2013) · doi:10.1016/j.engappai.2012.10.017
[33] R. K. Gupta, An application of Genetic Algorithm in solving an inventory model with advance payment and interval valued inventory costs,, Mathematical and Computer Modelling, 49, 893 (2009) · Zbl 1165.90316 · doi:10.1016/j.mcm.2008.09.015
[34] H. S. Heese, Single versus Multiple Sourcing and the Evolution of Bargaining Positions,, Omega, 54, 125 (2015) · doi:10.1016/j.omega.2015.01.016
[35] J. Hill, A heuristic for single-warehouse multiretailer supply chains with all-unit transportation cost discounts,, European Journal of Operational Research, 187, 473 (2008) · Zbl 1149.90021 · doi:10.1016/j.ejor.2007.03.015
[36] H. Hishamuddin, <em>Optimal Inventory Policies for Multi-Echelon Supply Chain Systems with Disruption</em>,, Ph.D thesis (2013)
[37] H. Hishamuddin, A disruption recovery model for a single stage production-inventory system,, European Journal of Operational Research, 222, 464 (2012) · Zbl 1253.90026 · doi:10.1016/j.ejor.2012.05.033
[38] H. Hishamuddin, A recovery model for a two-echelon serial supply chain with consideration of transportation disruption,, Computers and Industrial Engineering, 64, 552 (2013) · doi:10.1016/j.cie.2012.11.012
[39] H. Hishamuddin, A recovery mechanism for a two echelon supply chain system under supply disruption,, Economic Modelling, 38, 555 (2014) · doi:10.1016/j.econmod.2014.02.004
[40] J. Hou, Coordination with a backup supplier through buy-back contract under supply disruption,, Transportation Research Part E: Logistics and Transportation Review, 46, 881 (2010) · doi:10.1016/j.tre.2010.03.004
[41] F. Hu, Coordination in a Single-Retailer Two-Supplier Supply Chain under Random Demand and Random Supply with Disruption,, Discrete Dynamics in Nature and Society, 2013, 1 (2013) · Zbl 1264.90016
[42] C. Huang, Disruption management for supply chain coordination with exponential demand function,, Acta Mathematica Scientia, 26, 655 (2006) · Zbl 1137.90467 · doi:10.1016/S0252-9602(06)60092-1
[43] M. Y. Jaber, An economic order quantity model for an imperfect production process with entropy cost,, International Journal of Production Economics, 118, 26 (2009) · doi:10.1016/j.ijpe.2008.08.007
[44] N. Jawahar, A genetic algorithm for the two-stage supply chain distribution problem associated with a fixed charge,, European Journal of Operational Research, 194, 496 (2009) · Zbl 1154.90629 · doi:10.1016/j.ejor.2007.12.005
[45] E. J. L. Jr, An insurance risk management framework for disaster relief and supply chain disruption inventory planning,, Journal of Operational Research Society, 59, 674 (2008) · Zbl 1153.90310
[46] Ö. Kabak, Possibilistic linear-programming approach for supply chain networking decisions,, European Journal of Operational Research, 209, 253 (2011) · Zbl 1205.90063 · doi:10.1016/j.ejor.2010.09.025
[47] B. B. Keskin, A simulation-optimization approach for integrated sourcing and inventory decisions,, Computers and Operations Research, 37, 1648 (2010) · Zbl 1190.90019 · doi:10.1016/j.cor.2009.12.012
[48] P. R. Kleindorfer, Managing disruption risks in supply chains,, Production and Operations Management, 14, 53 (2005) · doi:10.1111/j.1937-5956.2005.tb00009.x
[49] R. Kuik, Multi-level lot-sizing problem: Evaluation of a simulated-annealing heuristic,, European Journal of Operational Research, 45, 25 (1990) · Zbl 0685.90052 · doi:10.1016/0377-2217(90)90153-3
[50] O. Lavastre, Supply chain risk management in French companies,, Decision Support Systems, 52, 828 (2012) · doi:10.1016/j.dss.2011.11.017
[51] K.-N. F. Leung, A generalized geometric-programming solution to “An economic production quantity model with flexibility and reliability considerations,”, European Journal of Operational Research, 176, 240 (2007) · Zbl 1137.90453 · doi:10.1016/j.ejor.2005.06.049
[52] X. Li, Impacts of supply disruptions and customer differentiation on a partial-backordering inventory system,, Simulation Modelling Practice and Theory, 18, 547 (2010) · doi:10.1016/j.simpat.2009.12.010
[53] J. Li, Competition and cooperation in a single-retailer two-supplier supply chain with supply disruption,, International Journal of Production Economics, 124, 137 (2010) · doi:10.1016/j.ijpe.2009.10.017
[54] Z. Li, A Periodic-Review Inventory System With Supply Interruptions,, Probability in the Engineering and Informational Sciences, 18, 33 (2004) · Zbl 1036.90012 · doi:10.1017/S0269964804181035
[55] C. J. Liao, A least flexibility first heuristic to coordinate setups in a two- or three-stage supply chain,, International Journal of Production Economics, 117, 127 (2009) · doi:10.1016/j.ijpe.2008.10.002
[56] C. J. Liao, An ant colony optimization algorithm for setup coordination in a two-stage production system,, Applied Soft Computing, 11, 4521 (2011) · doi:10.1016/j.asoc.2011.08.014
[57] G. C. Lin, On a production-inventory system of deteriorating items subject to random machine breakdowns with a fixed repair time,, Mathematical and Computer Modelling, 43, 920 (2006) · Zbl 1180.90103 · doi:10.1016/j.mcm.2005.12.013
[58] S. C. Liu, A heuristic method for the inventory routing and pricing problem in a supply chain,, Expert Systems with Applications, 38, 1447 (2011) · doi:10.1016/j.eswa.2010.07.051
[59] F. Longo, An advanced supply chain management tool based on modeling and simulation,, Computers and Industrial Engineering, 54, 570 (2008) · doi:10.1016/j.cie.2007.09.008
[60] M. Lu, Product substitution and dual sourcing under random supply failures,, Transportation Research Part B: Methodological, 45, 1251 (2011) · doi:10.1016/j.trb.2010.09.005
[61] I. Manuj, Global supply chain risk management,, Journal of Business Logistics, 29, 133 (2008) · doi:10.1002/j.2158-1592.2008.tb00072.x
[62] M. A. A. Masud, Optimisation of a production inventory model with reliability considerations,, International Journal of Logistics Systems and Management, 17, 22 (2014) · doi:10.1504/IJLSM.2014.057979
[63] M. Mobini, A simulation model for the design and analysis of wood pellet supply chains,, Applied Energy, 111, 1239 (2013) · doi:10.1016/j.apenergy.2013.06.026
[64] E. Mohebbi, A replenishment model for the supply-uncertainty problem,, International Journal of Production Economics, 87, 25 (2004) · doi:10.1016/S0925-5273(03)00098-7
[65] E. Mohebbi, An inventory model with non-resuming randomly interruptible lead time,, International Journal of Production Economics, 114, 755 (2008) · doi:10.1016/j.ijpe.2008.03.009
[66] K. Moinzadeh, Analysis of a Production/Inventory System Subject to Random Disruptions,, Management Science, 43, 1577 (1997) · Zbl 0902.90048 · doi:10.1287/mnsc.43.11.1577
[67] A. R. Nia, A fuzzy vendor managed inventory of multi-item economic order quantity model under shortage: An ant colony optimization algorithm,, International Journal of Production Economics, 155, 259 (2014)
[68] A. Oke, Managing disruptions in supply chains: A case study of a retail supply chain,, International Journal of Production Economics, 118, 168 (2009) · doi:10.1016/j.ijpe.2008.08.045
[69] S. Özekici, Inventory models with unreliable suppliers in a random environment,, Annals of Operations Research, 91, 123 (1999) · Zbl 0970.90005 · doi:10.1023/A:1018937420735
[70] B. Pal, Maximising profits for an EPQ model with unreliable machine and rework of random defective items,, International Journal of System Science, 44, 582 (2013) · Zbl 1307.90016 · doi:10.1080/00207721.2011.617896
[71] B. Pal, Joint pricing and ordering policy for two echelon imperfect production inventory model with two cycles,, International Journal of Production Economics, 155, 229 (2013) · doi:10.1016/j.ijpe.2013.11.027
[72] B. Pal, A multi-echelon supply chain model for reworkable items in multiple-markets with supply disruption,, Economic Modelling, 29, 1891 (2012) · doi:10.1016/j.econmod.2012.06.005
[73] B. Pal, A multi-echelon production-inventory system with supply disruption,, Journal of Manufacturing Systems, 33, 262 (2014) · doi:10.1016/j.jmsy.2013.12.010
[74] D. Panda, Multi-item inventory models with price dependent demand under flexibility and reliability consideration and imprecise space constraint: A geometric programming approach,, Mathematical and Computer Modelling, 49, 1733 (2009) · Zbl 1171.90316 · doi:10.1016/j.mcm.2008.10.019
[75] M. Parlar, Future supply uncertainty in EOQ models,, Naval Research Logistics, 38, 107 (1991) · Zbl 0725.90025 · doi:10.1002/1520-6750(199102)38:1<107::AID-NAV3220380110>3.0.CO;2-4
[76] M. Parlar, Inventory models of future supply uncertainty with single and multiple suppliers,, Naval Research Logistics, 43, 191 (1996) · Zbl 0870.90054
[77] S. H. R. Pasandideh, A genetic algorithm for vendor managed inventory control system of multi-product multi-constraint economic order quantity model,, Expert Systems with Applications, 38, 2708 (2011)
[78] S. K. Paul, Development of a production inventory model with uncertainty and reliability considerations,, Optimization and Engineering, 15, 697 (2014) · Zbl 1364.90026 · doi:10.1007/s11081-013-9218-6
[79] S. K. Paul, Managing real-time demand fluctuation under a supplier-retailer coordinated system,, International Journal of Production Economics, 158, 231 (2014) · doi:10.1016/j.ijpe.2014.08.007
[80] S. K. Paul, A disruption recovery model in a production-inventory system with demand uncertainty and process reliability,, Leture Notes in Computer Science, 8104, 511 (2013) · doi:10.1007/978-3-642-40925-7_47
[81] S. K. Paul, Real time disruption management for a two-stage batch production-inventory system with reliability considerations,, European Journal of Operational Research, 237, 113 (2014) · Zbl 1304.90081 · doi:10.1016/j.ejor.2014.02.005
[82] S. K. Paul, Managing disruption in an imperfect production-inventory system,, Computers and Industrial Engineering, 84, 101 (2015) · doi:10.1016/j.cie.2014.09.013
[83] S. K. Paul, A disruption recovery plan in a three-stage production-inventory system,, Computers and Operations Research, 57, 60 (2015) · Zbl 1348.90036 · doi:10.1016/j.cor.2014.12.003
[84] S. K. Paul, Managing supply disruption in a three-tier supply chain with multiple suppliers and retailers,, in 2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 194 (2014) · doi:10.1109/IEEM.2014.7058627
[85] S. Perron, Exact and heuristic solutions of the global supply chain problem with transfer pricing,, European Journal of Operational Research, 202, 864 (2010) · Zbl 1176.90667 · doi:10.1016/j.ejor.2009.06.018
[86] F. Persson, SCOR template-A simulation based dynamic supply chain analysis tool,, International Journal of Production Economics, 131, 288 (2011) · doi:10.1016/j.ijpe.2010.09.029
[87] H. Pierreval, A continuous simulation approach for supply chains in the automotive industry,, Simulation Modelling Practice and Theory, 15, 185 (2007) · doi:10.1016/j.simpat.2006.09.019
[88] L. Qi, A continuous-review inventory model with random disruptions at the primary supplier,, European Journal of Operational Research, 225, 59 (2013) · Zbl 1292.90028 · doi:10.1016/j.ejor.2012.09.035
[89] X. Qi, Supply chain coordination with demand disruptions,, Omega, 32, 301 (2004) · doi:10.1016/j.omega.2003.12.002
[90] L. Qi, The effect of supply disruptions on supply chain design decisions,, Transportation Science, 44, 274 (2010) · doi:10.1287/trsc.1100.0320
[91] U. Ramanathan, Performance of supply chain collaboration-A simulation study,, Expert Systems with Applications, 41, 210 (2014) · doi:10.1016/j.eswa.2013.07.022
[92] A. M. Ross, Supply disruptions with time-dependent parameters,, Computers and Operations Research, 35, 3504 (2008) · Zbl 1146.90323 · doi:10.1016/j.cor.2007.01.018
[93] M. S. Sajadieh, Comparing sourcing strategies in two-echelon supply chains,, Computers and Operations Research, 45, 108 (2014) · Zbl 1348.90039 · doi:10.1016/j.cor.2013.12.006
[94] N. Salehi Sadghiani, Retail supply chain network design under operational and disruption risks,, Transportation Research Part E: Logistics and Transportation Review, 75, 95 (2015) · doi:10.1016/j.tre.2014.12.015
[95] S. S. Sana, A production-inventory model in an imperfect production process,, European Journal of Operational Research, 200, 451 (2010) · Zbl 1177.90027 · doi:10.1016/j.ejor.2009.01.041
[96] S. S. Sana, A production-inventory model of imperfect quality products in a three-layer supply chain,, Decision Support Systems, 50, 539 (2011) · doi:10.1016/j.dss.2010.11.012
[97] B. Sarkar, An EPQ model with inflation in an imperfect production system,, Applied Mathematics and Computation, 217, 6159 (2011) · Zbl 1208.90012 · doi:10.1016/j.amc.2010.12.098
[98] T. Sawik, Optimization of cost and service level in the presence of supply chain disruption risks: Single vs. multiple sourcing,, Computers and Operations Research, 51, 11 (2014) · Zbl 1348.90125 · doi:10.1016/j.cor.2014.04.006
[99] A. J. Schmitt, Quantifying supply chain disruption risk using Monte Carlo and discrete-event simulation,, in Proceedings of the 2009 Winter Simulation conference, 1237 (2009) · doi:10.1109/WSC.2009.5429561
[100] A. J. Schmitt, A quantitative analysis of disruption risk in a multi-echelon supply chain,, International Journal of Production Economics, 139, 22 (2012)
[101] A. J. Schmitt, Inventory systems with stochastic demand and supply: Properties and approximations,, European Journal of Operational Research, 206, 313 (2010) · Zbl 1188.90017 · doi:10.1016/j.ejor.2010.02.029
[102] A. J. Schmitt, Infinite-horizon models for inventory control under yield uncertainty and disruptions,, Computers and Operations Research, 39, 850 (2012) · Zbl 1251.90038 · doi:10.1016/j.cor.2010.08.004
[103] D. A. Serel, Production and pricing policies in dual sourcing supply chains,, Transportation Research Part E: Logistics and Transportation Review, 76, 1 (2015) · doi:10.1016/j.tre.2015.01.007
[104] X.-F. Shao, Supply disruption and reactive strategies in an assemble-to-order supply chain with time-sensitive demand,, IEEE Transactions on Engineering Management, 59, 201 (2012) · doi:10.1109/TEM.2010.2066280
[105] L. Silbermayr, A multiple sourcing inventory model under disruption risk,, International Journal of Production Economics, 149, 37 (2014) · doi:10.1016/j.ijpe.2013.03.025
[106] C. A. Silva, Distributed supply chain management using ant colony optimization,, European Journal of Operational Research, 199, 349 (2009) · Zbl 1176.90668 · doi:10.1016/j.ejor.2008.11.021
[107] J. B. Skipper, Minimizing supply chain disruption risk through enhanced flexibility,, International Journal of Physical Distribution and Logistics Management, 39, 404 (2009)
[108] L. V. Snyder, A tight approximation for an EOQ model with supply disruptions,, International Journal of Production Economics, 155, 91 (2014) · doi:10.1016/j.ijpe.2014.01.025
[109] F. Talbot, Optimal methods for scheduling project under resource constraints,, Project Management Quarterly (1979)
[110] A. A. Taleizadeh, A deterministic multi product single machine EPQ model with backordering, scraped products, rework and interruption in manufacturing process,, International Journal of Production Economics, 150, 9 (2014) · doi:10.1016/j.ijpe.2013.11.023
[111] C. Tang, Robust strategies for mitigating supply chain disruptions,, International Journal of Logistics Research and Applications, 9, 33 (2006) · doi:10.1080/13675560500405584
[112] O. Tang, Simulated annealing in lot sizing problems,, International Journal of Production Economics, 88, 173 (2004) · doi:10.1016/j.ijpe.2003.11.006
[113] L. C. Tang, A simple recovery strategy for economic lot scheduling problem: A two-product case,, International Journal of Production Economics, 98, 97 (2005) · doi:10.1016/j.ijpe.2004.10.003
[114] B. Tomlin, On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks,, Management Science, 52, 639 (2006) · Zbl 1232.90200 · doi:10.1287/mnsc.1060.0515
[115] P. K. Tripathy, An EOQ model with process reliability considerations,, Journal of Operational Research Society, 54, 549 (2003) · Zbl 1070.90014 · doi:10.1057/palgrave.jors.2601540
[116] P. K. Tripathy, Optimal inventory policy with reliability consideration and instantaneous receipt under imperfect production process,, International Journal of Management Science and Engineering Management, 6, 413 (2011)
[117] G. Tuncel, Risk assessment and management for supply chain networks: A case study,, Computers in Industry, 61, 250 (2010) · doi:10.1016/j.compind.2009.09.008
[118] A. Unnikrishnan, Online Freight Network Assignment Model with Transportation Disruptions and Recourse,, Transportation Research Record: Journal of the Transportation Research Board, 2224, 17 (2011) · doi:10.3141/2224-03
[119] H. J. Weiss, Optimal ordering policies when anticipating a disruption in supply or demand,, European Journal of Operational Research, 59, 370 (1992) · Zbl 0760.90032 · doi:10.1016/0377-2217(92)90194-E
[120] G. A. Widyadana, Optimal deteriorating items production inventory models with random machine breakdown and stochastic repair time,, Applied Mathematical Modelling, 35, 3495 (2011) · Zbl 1221.90024 · doi:10.1016/j.apm.2011.01.006
[121] A. Wieland, Dealing with supply chain risks: Linking risk management practices and strategies to performance,, International Journal of Physical Distribution and Logistics Management, 42, 887 (2012)
[122] M. C. Wilson, The impact of transportation disruptions on supply chain performance,, Transportation Research Part E: Logistics and Transportation Review, 43, 295 (2007) · doi:10.1016/j.tre.2005.09.008
[123] T. Wu, Methodology for supply chain disruption analysis,, International Journal of Production Research, 45, 1665 (2007) · Zbl 1128.90316 · doi:10.1080/00207540500362138
[124] T. Wu, Supply chain risk management: An agent-based simulation to study the impact of retail stockouts,, IEEE Transactions on Engineering Management, 60, 676 (2013) · doi:10.1109/TEM.2012.2190986
[125] D. Wu, Supply chain risk, simulation, and vendor selection,, International Journal of Production Economics, 114, 646 (2008) · doi:10.1016/j.ijpe.2008.02.013
[126] A. Xanthopoulos, Optimal newsvendor policies for dual-sourcing supply chains: A disruption risk management framework,, Computers and Operations Research, 39, 350 (2012) · Zbl 1251.90042 · doi:10.1016/j.cor.2011.04.010
[127] Y. Xia, Real-time disruption management in a two-stage production and inventory system,, IIE Transactions, 36, 111 (2004) · doi:10.1080/07408170490245379
[128] T. Xiao, Coordination of supply chain after demand disruptions when retailers compete,, International Journal of Production Economics, 109, 162 (2007) · doi:10.1016/j.ijpe.2006.11.013
[129] T. Xiao, Supply chain disruption management and evolutionarily stable strategies of retailers in the quantity-setting duopoly situation with homogeneous goods,, European Journal of Operational Research, 173, 648 (2006) · Zbl 1125.90349 · doi:10.1016/j.ejor.2005.02.076
[130] T. Xiao, Coordination of a supply chain with one-manufacturer and two-retailers under demand,, Annals of Operations Research, 135, 87 (2005) · Zbl 1112.90305 · doi:10.1007/s10479-005-6236-6
[131] X. Yan, Optimal ordering policies and sourcing strategies with supply disruption,, Journal of Industrial and Management Optimization, 10, 1147 (2014) · Zbl 1292.90033 · doi:10.3934/jimo.2014.10.1147
[132] Z. Yang, Supply disruptions, asymmetric information, and a backup production option,, Management Science, 55, 192 (2009) · Zbl 1232.90203
[133] M. F. Yang, Applying the linear particle swarm optimization to a serial multi-echelon inventory model,, Expert Systems with Applications, 37, 2599 (2010) · doi:10.1016/j.eswa.2009.08.021
[134] J. Yang, Disruption management in production planning,, Naval Research Logistics, 52, 420 (2005) · Zbl 1072.90520 · doi:10.1002/nav.20087
[135] G. Yu, <em>Disruption Management</em>,, World Scientific (2004) · Zbl 1073.90001 · doi:10.1142/9789812561701
[136] H. Yu, Single or dual sourcing: Decision-making in the presence of supply chain disruption risks,, Omega, 37, 788 (2009) · doi:10.1016/j.omega.2008.05.006
[137] S. H. Zegordi, Developing a supply chain disruption analysis model: Application of colored Petri-nets,, Expert Systems with Applications, 39, 2102 (2012) · doi:10.1016/j.eswa.2011.07.137
[138] F. Zeynep Sargut, Analysis of a two-party supply chain with random disruptions,, Operations Research Letter, 40, 114 (2012) · Zbl 1242.90022 · doi:10.1016/j.orl.2011.11.006
[139] Z. Zhang, A survey of China’s logistics industry and the impacts of transport delays on importers and exporters,, Transport Reviews, 30, 179 (2009) · doi:10.1080/01441640902843232
[140] D. Zhang, A study of emergency management of supply chain under supply disruption,, Neural Computing and Applications, 24, 13 (2013) · doi:10.1007/s00521-013-1511-y
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