Bi-objective decision support system for routing and scheduling of hazardous materials

Pradhananga, Rojee; Taniguchi, Eiichi; Yamada, Tadashi; Qureshi, Ali Gul

doi:10.1016/j.seps.2014.02.003

Cited by 68 publications

(36 citation statements)

References 35 publications

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“…The relationship between the transportation cost/risk and the loading weight of hazardous wastes can also be modelled as a quadratic or nonlinear function. Many previous studies assume the transportation cost/risk from one node to other is a fixed value, regardless of the variation of vehicle loading weight [16,17].…”

Section: Problem Description and Formulationmentioning

confidence: 99%

“…Equations (16) and (18) guarantee that the first equality holds, and equation (17) guarantees that the second equality holds. Therefore, the model (15) (20) can be solved directly by mathematical optimization software such as CPLEX and LINGO, and the weight of hazardous wastes to collect from every factory and the transportation routes of vehicles in each period can be obtained.…”

Section: 2mentioning

confidence: 99%

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Multi-period hazardous waste collection planning with consideration of risk stability

Ma¹,

Li²

2021

Journal of Industrial &Amp; Management Optimization

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Hazardous wastes are likely to cause danger to humans and the environment. In this paper, a new mathematical optimization model is developed for the multi-period hazardous waste collection planning problem. The hazardous wastes generated by each source are time-varying in weight and allow incomplete and delayed collection. The aim of the model is to help decision makers determine the weight of hazardous wastes to collect from each source and the transportation routes of vehicles in each period. In the developed model, three objectives are considered simultaneously: (1) minimisation of total cost over all periods, which includes start-up fee of vehicles, transportation cost of hazardous wastes, and penalty fee for the delayed collection; (2) minimisation of total transportation risk posing to the surrounding of routes over all periods; and (3) even distribution of transportation risk among all periods, also called risk stability. The developed multi-objective model is transformed into a single-objective one based on the weighted sums method, which is finally equated to a mixed 0-1 linear programming by introducing a set of auxiliary variables and constraints. Numerical experiments are computed with CPLEX software to find the optimal solutions. The computational results and parameters analysis demonstrate the applicability and validity of the developed model. It is found that the consideration of the risk stability can reduce the total transportation risk, the uneven distribution of the transportation risk among all periods, and the maximum number of vehicles used, though increasing the total cost to some extent.2010 Mathematics Subject Classification. Primary: 90B06, 90B50; Secondary: 90C30.

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Section: Problem Description and Formulationmentioning

confidence: 99%

Section: 2mentioning

confidence: 99%

Multi-period hazardous waste collection planning with consideration of risk stability

Ma¹,

Li²

2021

Journal of Industrial &Amp; Management Optimization

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“…Using a multiobjective algorithm, they solved the network transportation problem with multiple destinations and terminals and found the nondominated solutions. Pradhananga [15] considered the total transportation time and the total transportation risk minimum as the optimization objectives, established a biobjective risk transportation route optimization model with time windows, and designed a heuristic algorithm to find the Pareto optimal solutions. Ma et al [16] established a hazardous material route selection model under time-varying conditions.…”

Section: Introductionmentioning

confidence: 99%

Design of a Network Optimization Platform for the Multivehicle Transportation of Hazardous Materials

Dong

Zhou

2020

IJERPH

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With economic development, the volume of hazardous materials is increasing, and the potential risks to human beings and the natural environment are expanding. Road transportation has become the main mode of transportation for hazardous materials. Because of the specific characteristics of hazardous materials, if an accident occurs in the transportation process, it often causes mass casualties, serious property and socioeconomic damage, and damage to the ecological environment. Hence, transportation is an important part of the life cycle of hazardous materials. This paper designs an optimization platform for multidestination, multiterminal, and multivehicle networks that transport hazardous materials. The logistics module in TransCAD software is used to construct this platform. By identifying the effective transportation routes considering the transportation risk, sensitive target population, and transportation time of each road section, the entropy method can be used to fuse and obtain the comprehensive impedance value of each road section. Finally, the optimal transportation network of hazardous materials was obtained by the transportation network optimization algorithm in TransCAD. The platform can display the optimal transport program with data windows, text, and maps. The research results provide a reference for relevant departments to scientifically manage the transport of hazardous materials.

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“…In a case study of natural gas transportation in Thailand, Pradhananga et al proposed a genetic algorithm, converting the HAZMAT 2 Discrete Dynamics in Nature and Society Vehicle Routing Problem with Time Windows (HVRPTW) with multiple objectives, namely, transportation cost and risk, into a single objective problem through linear weighting [6]. Later, they proposed a multiobjective ant colony algorithm targeting at solving this problem, the validity of which was verified in a case of distribution of liquefied petroleum gas in Osaka, Japan [7].…”

Section: Introductionmentioning

confidence: 99%

Path Planning and Vehicle Scheduling Optimization for Logistic Distribution of Hazardous Materials in Full Container Load

Chai

et al. 2017

Discrete Dynamics in Nature and Society

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Mathematical models for path planning and vehicle scheduling for logistic distribution of hazardous materials in full container load (FCL) are established, with their problem-solving methods proposed. First, a two-stage multiobjective optimization algorithm is designed for path planning. In the first stage, pulse algorithm is used to obtain the Pareto paths from the distribution center to each destination. In the second stage, a multiobjective optimization method based on Nondominated Sorting Genetic Algorithm II (NSGA-II) is designed to obtain candidate transport paths. Second, with analysis on the operating process of vehicles with hazardous materials in FCL, the vehicle scheduling problem is converted to Vehicle Routing Problem with Time Windows (VRPTW). A problem-solving method based on estimation of distribution is adopted. A transport timetable for all vehicles based on their transport paths is calculated, with participation of the decision-makers. A visual vehicle scheduling plan is presented for the decision-makers. Last, two examples are used to test the method proposed in this study: distribution of hazardous materials in a small-scale test network and distribution of oil products for sixteen gas stations in the main districts of Lanzhou city. In both examples, our method is used to obtain the path selection and vehicle scheduling plan, proving that validity of our method is verified.

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Bi-objective decision support system for routing and scheduling of hazardous materials

Cited by 68 publications

References 35 publications

Multi-period hazardous waste collection planning with consideration of risk stability

Multi-period hazardous waste collection planning with consideration of risk stability

Design of a Network Optimization Platform for the Multivehicle Transportation of Hazardous Materials

Path Planning and Vehicle Scheduling Optimization for Logistic Distribution of Hazardous Materials in Full Container Load

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