Credibilistic Location-Routing Model for Hazardous Materials Transportation

Abstract

With the development of social economy, the increasing demand on hazardous materials transportation has received considerable attention around the world and the location‐routing problem has become a hot topic of study. The goal of our work is to obtain the best balance between the transportation risk and cost under the assumptions that the transportation costs and the number of affected people are fuzzy variables. Within the framework of credibility theory, we propose a chance‐constrained programming model and design a fuzzy simulation–based genetic algorithm to solve the model. Numerical experiments are given to illustrate the efficiency of the proposed model and algorithm.

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

“…Samanlioglu (2013) established a multi-objective model to minimize total transportation risk, total site risk and total cost. In the framework of fuzzy logic-based optimization, Zhou et al (2013) minimized the total risk and the impact on the normal traffic, and Wei et al (2015) minimized the fuzzy en route and site risks and costs. In Toumazis and Kwon (2013), accident probabilities and accident consequences were considered to be time-dependent.…”

Bi-level chance constraint programming model for hazardous materials distribution

“…accident frequency are presented in Table 4 and Table 6. Part data is from paper [13]. The capacities of depots are set to be s = (1200, 1100, 1000)t , and the demand amounts of the customers are ct = (296, 250, 355, 400, 215, 300)t , the fixed cost a = (400000, 36000000, 30000000)t , the unit vehicle cost are b = (90, 100, 100)Yuan .…”

“…This inspired us to speculate new distribution methods considering the fuzzy random of risk. Different from Meiyis work with chance-constrained programming (CCP) [13], we built a two-level minimum objective programming model with chance measure constraints for solving the distribution on the hypothesis that every route between each depot-customer pair is different, with the purpose of servicing customers using minimal cost and facing minimal risk within the acceptance range of decision makers.…”

Location Management of Cloud Forklifts in Finished Product Warehouse

“…proposed an approach using parallelized fusion on multisensory transportation data, which provides accurate and real‐time traffic state evaluation. Wei et al . built a location‐routing model with fuzzy variables to obtain balance between transportation risk and cost for hazardous materials transportation.…”

“…18 Xia et al 19 proposed an approach using parallelized fusion on multisensory transportation data, which provides accurate and real-time traffic state evaluation. Wei et al 20 built a location-routing model with fuzzy variables to obtain balance between transportation risk and cost for hazardous materials transportation. In the field of warehouse management, De Koster et al 4 compared many storage assignment policies based on diversified warehouse environment.…”