Time-dependent fuzzy random location-scheduling programming for hazardous materials transportation

作     者：Wei Meiyi Li Xiang Yu Lean 

作者机构：Beijing Univ Chem Technol Sch Econ & Management Beijing 100029 Peoples R China 

出 版 物：《TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES》 (运输研究C部分：新兴技术)

年 卷 期：2015年第57卷

页      面：146-165页

核心收录：

学科分类：08[工学] 0823[工学-交通运输工程] 

基　　金：National Science Fund for Distinguished Young Scholars National Natural Science Foundation of China [71371027, 91224001] Beijing Social Science Fund [13JGC087] Program for New Century Excellent Talents in University [NCET-13-0649] 

主　　题：Hazardous materials transportation Time-dependent location-scheduling problem Fuzzy random variable Expected value model Modified particle swarm optimization algorithm 

摘      要：The tremendous use of hazardous materials has promoted the economic development, which also brings about a growing risk causing a widespread concern. In-this work, we consider a location-scheduling problem on hazardous materials transportation under the assumption that transportation risks are time-dependent fuzzy random variables. First, we formulate a scheduling optimization model and design a fuzzy random simulation based genetic algorithm to optimize the departure time and dwell times for each depot-customer pair. Then we establish an expected value model and design a modified particle swarm optimization algorithm to minimize the en route risks and site risks. Finally, numerical examples are given to illustrate the effectiveness of the proposed models and algorithms. (C) 2015 Elsevier Ltd. All rights reserved.