Selecting China’s strategic petroleum reserve sites by multi-objective programming model
نویسندگان
چکیده
منابع مشابه
The Optimal Drawdown Policies for China’s Strategic Petroleum Reserve based on a Dynamic Programming Model
To protect the security of energy supplies, China is building a national strategic petroleum reserve (SPR). Here we present a dynamic programming model to determine the optimal drawdown strategies for SPR under various scenarios, focusing on minimizing cost. In a natural disaster scenario, the optimal strategy is rapid drawdown of ~10% of the reserve to stabilize oil prices and ease supply shor...
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Nowadays, the necessity of accurate quantitative decision support methods is becoming a critical subject for managers as rivalry between organizations caused a more fragile economic environment and brand reputation is becoming more important. Furthermore, dealing with incidents after they happened is not accepted by customers anymore. Managers require powerful decision making tools to support t...
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متن کاملThe Strategic Petroleum Reserve : how large should it be
This paper is the final report on a study carried out for the U.S. Department of Energy, concerning the optimal size of the Strategic Petroleum Reserve (SPR). The purpose of the SPR is to diminish U.S. vulnerability to, as well as to offer protection against, possible future oil embargoes. In this study we formulate the problem of determining the optimal size of the SPR as a parametric bimatrix...
متن کاملa multi-objective programming model for disaster preparedness planning
nowadays, the necessity of accurate quantitative decision support methods is becoming a critical subject for managers as rivalry between organizations caused a more fragile economic environment and brand reputation is becoming more important. furthermore, dealing with incidents after they happened is not accepted by customers anymore. managers require powerful decision making tools to support t...
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ژورنال
عنوان ژورنال: Petroleum Science
سال: 2017
ISSN: 1672-5107,1995-8226
DOI: 10.1007/s12182-017-0175-0