Recently, Bai Yang, the lecturer of Department of Technology Economics & Management in Business School, published an academic paper in”Computers & Operations Research” (an international SSCI journal).
The title of his paper is “Desirable policies of a strategic petroleum reserve in coping with disruption risk: A Markov decision process approach”. A Markov decision process model is proposed to examine the desirable sizes and policies of a strategic petroleum reserve (SPR) for oil consumption countries. Oil consumers operate SPRs to cope with various market states. Market uncertainties include oil supply, oil price and disruption situations in which oil supply is highly stochastic. The decision criterion is to minimize total disruption losses and SPR costs. The output of the proposed model finds optimal SPR acquisition, drawdown and refill policies in response to different market states. In a representative numerical case, we examine desirable SPR size and how China should absorb into or release from its SPR in special scenarios. In a new scenario of long-duration disruption risk in particular, we find that high disruption duration risk may increase the optimal SPR size significantly, i.e., 9% greater in this case. Meanwhile, the result shows variation in the SPR drawdown policy when considering various disruption durations. Finally, a United States case has been studied with the developed model. We find interesting results by comparing the results of China and the U.S. Under the scenario of 20% disruption, although with different SPR capacities, both countries should release all SPRs to reduce GDP loss as much as possible. (c) 2015 Elsevier Ltd. All rights reserved.
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