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Optimal decision model for emergency resource reserves in chemical industrial parks in China: A risk perception perspective
Author(s) -
Hu Xiaoli,
Wang Fei,
Wei Jiuchang
Publication year - 2019
Publication title -
process safety progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.378
H-Index - 40
eISSN - 1547-5913
pISSN - 1066-8527
DOI - 10.1002/prs.12048
Subject(s) - risk perception , variety (cybernetics) , resource (disambiguation) , china , perception , business , probabilistic logic , risk analysis (engineering) , operations research , environmental economics , engineering , operations management , environmental resource management , computer science , economics , geography , psychology , computer network , archaeology , artificial intelligence , neuroscience
A chemical industrial park (CIP) is a concentrated area of firms that are engaged in the manufacture of a large variety of chemicals. The occurrence of accidents in CIPs in China has significantly increased in recent years, thereby posing tremendous threats to people, property, and ecosystems. This study aims to establish a model for reducing disaster risk by balancing the budget for the emergency reserve strategy and the fluke psychology of managers. The research uses the probabilistic approach and the stochastic programming model to address disaster uncertainty. A scenario‐based stochastic model for optimum modular emergency resources is established, which simultaneously seeks to maximize the satisfaction degree and minimize the penalty costs when managerial risk perception is considered. In addition, the simulation study proves that the model has practical and theoretical contributions for reserve strategies and managerial risk perception for a risky concentration area. © 2019 American Institute of Chemical Engineers Process Saf Prog: e12048 2019