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Designing a supply chain resilient to major disruptions and supply/demand interruptions
Institution:1. Institute of Transport and Logistics Studies, The University of Sydney, Darlington, NSW 2008, Australia;2. Department of Industrial Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran;3. Department of Business Administration, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Raipei 10016, Taiwan, R.O.C.;1. The School of Industrial and Systems Engineering, The University of Oklahoma, 202 W. Boyd St., Norman, OK 73019-1022;2. Department of Management, Kingston Business School, Kingston University, UK\n;3. Rotterdam School of Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
Abstract:Global supply chains are more than ever under threat of major disruptions caused by devastating natural and man-made disasters as well as recurrent interruptions caused by variations in supply and demand. This paper presents a hybrid robust-stochastic optimization model and a Lagrangian relaxation solution method for designing a supply chain resilient to (1) supply/demand interruptions and (2) facility disruptions whose risk of occurrence and magnitude of impact can be mitigated through fortification investments. We study a realistic problem where a disruption can cause either a complete facility shutdown or a reduced supply capacity. The probability of disruption occurrence is expressed as a function of facility fortification investment for hedging against potential disruptions in the presence of certain budgetary constraints. Computational experiments and thorough sensitivity analyses are completed using some of the existing widely-used datasets. The performance of the proposed model is also examined using a Monte Carlo simulation method. To explore the practical application of the proposed model and methodology, a real world case example is discussed which addresses mitigating the risk of facility fires in an actual oil production company. Our analysis and investigation focuses on exploring the extent to which supply chain design decisions are influenced by factors such as facility fortification strategies, a decision maker's conservatism degree, demand fluctuations, supply capacity variations, and budgetary constraints.
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