Hazardous material transportation problems: A comprehensive overview of models and solution approaches

Mohri, Seyed Sina; Mohammadi, Mehrdad; Gendreau, Michel; Pirayesh, Amir; Ghasemaghaei, Ali; Salehi, Vahid

doi:10.1016/j.ejor.2021.11.045

Cited by 23 publications

(10 citation statements)

References 116 publications

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“…Mohri et al [35] presented a review paper for hazardous materials routing problems. They examined assumptions, constraints, objective functions, variables and parameters, solution approaches and case studies of hazardous material routing problems from 1980 to 2020.…”

Section: Hazmat Routing Problemmentioning

confidence: 99%

Z-trapezoidal risk assessment for multi-objective Hazmat routing model with time windows

Zandieh

Ghannadpour

2022

RAIRO-Oper. Res.

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Hazardous material (Hazmat) transportation is an inseparable section of the industry, despite its major financial and health risks. In order to optimize Hazmat transportation, a multi-objective Hazmat routing model with time windows is employed where the risk and distance are minimized. Due to the uncertainty of Hazmat transportation risk, a Z-number fuzzy approach is used to estimate the risk, in which the probability of occurrence and the severity is considered in the context of Z-information. The severity of the event includes the affected population and depends on the amount of transported Hazmat and the number of individuals affected by the explosion. To tackle the proposed model, the present paper utilizes a multi-objective hybrid genetic algorithm, the validity of which is tested by Solomon's problems. Furthermore, the optimization of a case study concerning the Hazmat distribution in Iran is analyzed using the suggested approach to assess the efficiency of the proposed fuzzy problem in real-world applications.

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Section: Hazmat Routing Problemmentioning

confidence: 99%

Z-trapezoidal risk assessment for multi-objective Hazmat routing model with time windows

Zandieh

Ghannadpour

2022

RAIRO-Oper. Res.

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“…This relationship ensures that all customer demand is met by increasing system costs. Equation (2) shows the second objective function of the problem and includes the minimization of greenhouse gas emissions due to heterogeneous vehicle traffic. Equation (3) shows the controlled demand of the model based on fuzzy robust planning relationships and ensures that customer demand is met by increasing the uncertainty rate.…”

Section: 𝑂𝑃𝐶 𝑐ℎmentioning

confidence: 99%

“…This section examines a small sample problem in relation to the sizes presented in Table (1). In addition, all of the problem's parameters were generated using the uniform distribution function and based on the data in Table (2), and they were used in the model's solution. The designed model is displayed based on the size and random data input into the GAMS software, as well as the model's output.…”

Section: Analysis Of Sample Problemsmentioning

confidence: 99%

“…According to the results, by limiting the amount of greenhouse gas emissions, the costs of transporting hazardous products have increased due to the criticality of the type of products and delivery in a short time. Figure (2) shows the Pareto front resulting from the solution of the closed-loop supply chain network problem for hazardous products by the Epsilon constraint method. According to Figure ( 2), the points formed by the pareto front resulting from the solution of the closedloop supply chain network problem for hazardous products can be seen.…”

Section: Analysis Of Sample Problemsmentioning

confidence: 99%

“…Hazardous materials are widely used in manufacturing, mining, agriculture, and medicine, as well as in fueling vehicles and heating homes and offices. Custody transportation has increased dramatically in the last decade [2]. 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.…”

Section: Introductionmentioning

confidence: 99%

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

Meybodi

Tayebi

Laleh

2022

IJIMES

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This paper models a closed-loop supply chain network problem for hazardous products in the face of demand uncertainty and variable costs. The designed model includes a set of suppliers, production centers, distribution, recycling, disposal, collection and end customers in which strategic and tactical decisions are made simultaneously. Among the decisions made in this paper is the location of production, distribution and collection centers and determining the optimal amount of product flow between the levels of the supply chain network. Methodology: In this paper, the Epsilon constraint method is used to solve a multi-objective model in GMAS software. This article also uses uniform data to solve the problem. Findings: The results of solving the model with fuzzy robust optimization method show that with increasing the uncertainty rate and also reducing the transfer time of hazardous products, the total network costs as well as the amount of greenhouse gas emissions have increased. Also, the study of Pareto front to optimize the total design costs and the amount of greenhouse gas emissions shows that by reducing the amount of greenhouse gas emissions in the network, the costs related to location and routing increase. Originality/Value: In this paper a fuzzy robust optimization is used in closed-loop supply chain network model for hazardous products (Lead-Acid Battery).

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A Multi-Objective Sustainable Traffic Signal Control for Smart Cities Under Uncertainty

Chiou

2023

International Series in Operations Research &Amp; Management Science

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Hazardous material transportation problems: A comprehensive overview of models and solution approaches

Cited by 23 publications

References 116 publications

Z-trapezoidal risk assessment for multi-objective Hazmat routing model with time windows

Z-trapezoidal risk assessment for multi-objective Hazmat routing model with time windows

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

A Multi-Objective Sustainable Traffic Signal Control for Smart Cities Under Uncertainty

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