Abstract
Most supply chain (SC) studies often consider conventional products and assign little importance to the product perishability. In addition, most SC models in the literature assume that transportation routes are disruption-free. However, in reality, transportation routes are subject to various sorts of disruptions. In this chapter, we develop a stochastic mathematical model for a perishable product under conditions of route disruption and demand uncertainty. We investigate optimal facility location and distribution strategies that minimise the total cost of the SC. We propose two policies for decision-making under uncertainty. The first one is the risk-neutral policy in which the expected cost of the SC is minimised. The second policy is the risk-averse policy. The risk-averse policy is proposed through conditional value-at-risk (CVaR) approach in which the worst-case cost is minimised. The effectiveness of our model is demonstrated through an illustrative example. We observe that a resilient SC and a disruption-free SC have different designs. Finally, the effect of disruption uncertainties is presented through a statistical analysis.
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References
F. Aqlan, S. Lam Sarah, Supply chain risk modelling and mitigation. Int. J. Prod. Res. 53(18), 5640–5656 (2015)
L.V. Snyder, Z. Atan, P. Peng, Y. Rong, A.J. Schmitt, B. Sinsoysal, OR/MS models for supply chain disruptions: a review. IIE Trans. 48(2), 89–109 (2016)
G. Bhatia, C. Lane, A. Wain, Building resilience in supply chains, in An Initiative of the Risk Response Network in collaboration with Accenture. In World Economic Forum, Geneva, Switzerland (2013)
A. Baghalian, S. Rezapour, Z. Farahani Reza, Robust supply chain network design with service level against disruptions and demand uncertainties: a real-life case. Eur. J. Oper. Res. 227(1), 199–215 (2013)
N. Azad, H. Davoudpour, K.D. Saharidis Georgios, M. Shiripour, A new model to mitigating random disruption risks of facility and transportation in supply chain network design. Int. J. Adv. Manuf. Technol. 70(9–12), 1757–1774 (2014)
H. Shrivastava, P. Dutta, M. Krishnamoorthy, P. Suryawanshi, Designing a resilient supply chain network for perishable products with random disruptions, in Proceedings of The International MultiConference of Engineers and Computer Scientists 2017. Lecture Notes in Engineering and Computer Science. 15–17 March 2017, Hong Kong (2017), pp. 870–875
S. Negi, N. Anand, Issues and challenges in the supply chain of fruits & vegetables sector in India: a review. Int. J. Manag. Value Suppl. Chains 6(2), 47–62 (2015)
V.R. Reddy, S.K. Singh, V. Anbumozhi, Food supply chain disruption due to natural disasters: entities, risks, and strategies for resilience. ERIA Discussion Paper 18 (2016)
Y. Merzifonluoglu, Risk averse supply portfolio selection with supply, demand and spot market volatility. Omega 57, 40–53 (2015)
A. Madadi, M.E. Kurz, K.M. Taaffe, J.L. Sharp, S.J. Mason, Supply network design: risk-averse or risk-neutral? Comput. Ind. Eng. 78, 55–65 (2014)
T. Sawik, Selection of resilient supply portfolio under disruption risks. Omega 41(2), 259–269 (2013)
R.T. Rockafellar, S. Uryasev, Optimization of conditional value-at-risk. J. Risk 2, 21–42 (2000)
M.C. Georgiadis, P. Tsiakis, P. Longinidis, M.K. Sofioglou, Optimal design of supply chain networks under uncertain transient demand variations. Omega 39(3), 254–272 (2011)
M. Khouja, The single-period (news-vendor) problem: literature review and suggestions for future research. Omega 27(5), 537–553 (1999)
P. Dutta, D. Chakraborty, Incorporating one-way substitution policy into the newsboy problem with imprecise customer demand. Eur. J. Oper. Res. 200(1), 99–110 (2010)
R. Karuppiah, M. Martin, I.E. Grossmann, A simple heuristic for reducing the number of scenarios in two-stage stochastic programming. Comput. Chem. Eng. 34(8), 1246–1255 (2010)
N.S. Sadghiani, S.A. Torabi, N. Sahebjamnia, Retail supply chain network design under operational and disruption risks. Trans. Res. Part E: Logistics Trans. Rev. 75, 95–114 (2015)
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Shrivastava, H., Dutta, P., Krishnamoorthy, M., Suryawanshi, P. (2018). A Supply Chain Design of Perishable Products Under Uncertainty. In: Ao, SI., Kim, H., Castillo, O., Chan, AS., Katagiri, H. (eds) Transactions on Engineering Technologies. IMECS 2017. Springer, Singapore. https://doi.org/10.1007/978-981-10-7488-2_6
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DOI: https://doi.org/10.1007/978-981-10-7488-2_6
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