Risk Models for Hazardous Material Transportation Subject to Weight Variation Considerations

Abstract

Reasonable risk models in hazardous material transportation are of practical significance, for safeguarding the lives and properties, protecting the natural environment, and facilitating the sustainable development. The existing risk models can be classified into summation risk model and maximum risk model, which result in over-reliance on overall risk or local risk. For overcoming these problems, we present two novel risk models considering different aggregation methods on local risks. The first model is supported by ordered weighted averaging (OWA) operator, which assigns the weights according to the position of the segment risk in the process of risk aggregation, and the second model is supported by state variable weight (SVW) vector, which adjusts the weights on segments according to the change of segment risk values. Generally speaking, OWA risk model is used under the situation with complete weighting information, while SVW risk model could be used under the situation with incomplete weighting information. Based on the analysis for variable weight mechanism, we show that both models could effectively balance the overall risk with the local risks assisted by weights variety. Numerical experiments are provided to illustrate the validity of the proposed risk models.

Multi-depot vehicle routing programming for hazmat transportation with weight variation risk

“…Toumazis and Kwon (2013) presented a conditional VaR model that focuses on worst-case risk scenarios to avoid catastrophic local risks. Thus, Hu et al (2020a) developed an OWA risk model and an SVW risk model that consider weight variation in the models, with the aim of striking better results in jointly reducing global risk and local risk. Based on the aforementioned literature, we apply these two weight variation-based risk models to MDVRPs in hazmat transportation.…”

“…However, this method overemphasises local risks and may lead to a route with a higher global risk. In order to overcome the disadvantage of the aforementioned models, Hu et al (2020a) proposed an ordered weighted averaging (OWA) risk model and an state variable weight (SVW) risk model for different weight information scenarios to achieve a better balance between global risk and local risk. Built on these two weight variation risk models this paper presents a study investigating into the more challenging, multi-depot vehicle routing problem (MDVRP).…”

Fuzzy Robust Optimization in Closed-Loop Supply Chain Network Model for Hazardous Products (Lead-Acid Battery)

“…On the other hand, by examining the trend of changes in the amount of cost and emissions, it is observed that the percentage of changes in the rate of uncertainty in the cost objective function was much less than changes in emissions. Figure (3) shows the amount and percentage of changes in objective functions in exchange for changes in the rate of uncertainty. Due to the corruption of products in the proposed closed-loop supply chain network, there is a need for rapid transfer of products within a time limit from the supplier to the end customers.…”

“…Specific stakeholders (e.g., environmentalists, the media) and the general public are highly sensitive to the dangers of transporting hazardous materials due to the involuntary nature and potential magnitude of these negative consequences. As a result, the government is usually in charge of regulating hazardous products transportation [3]. The importance of hazardous waste and products, as well as growing environmental concern, has necessitated the creation of a supply chain network for economically and environmentally hazardous products [4].…”

Half Open Multi-Depot Heterogeneous Vehicle Routing Problem for Hazardous Materials Transportation

“…Hazmat transportation accidents may lead to leakage, explosion, poisoning, and other accidents, causing casualties, damage to property, and environmental damage. From 2013 to 2017, there were only 356 hazmat transportation accidents in China, but the accidents caused 855 deaths, 2980 injuries, and huge economic loss [2]. For example, on 16 January 2015, a collision accident of a gasoline tanker with three trucks on the Yinmachi Bridge of Rongwu Expressway caused 12 deaths and 11 million RMB economy loss; on 23 May 2017, a gas tanker exploded and caused 15 deaths and 3 injuries on the Zhangjiakou Shijiazhuang Expressway.…”