Route planning for hazardous materials transportation: Multi-criteria decision-making approach

被引:3
作者
Noureddine M. [1 ]
Ristic M. [2 ]
机构
[1] Faculty of science and technology, University of Djelfa, Djelfa
[2] University of defence in Belgrade, Department of logistics, Belgrade
来源
Decision Making: Applications in Management and Engineering | 2019年 / 2卷 / 01期
关键词
FUCOM; Hazardous Materials Routing; MABAC; Multi-criteria Decision-making; TOPSIS;
D O I
10.31181/dmame1901066n
中图分类号
学科分类号
摘要
Transport of hazardous material (THM) represents a complex area involving a large number of participants. The imperative of THM is minimization of risks in the entire process of transportation from the aspect of everyone involved in it, which is not an easy task at all. To achieve this, it is necessary in its early phase to carry out adequate evaluation and selection of an optimal transport route. In this paper, optimal route criteria for THM are selected using a new approach in the field of multi-criteria decision-making. Weight coefficients of these criteria were determined by applying the Full Consistency Method (FUCOM). Evaluation and selection of hazardous material routes is determined by applying the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and the MABAC (Multi-attributive Border Approximation Area Comparison) methods. In order to establish the stability of models and validate the results obtained from the FUCOM-TOPSIS-MABAC model, a sensitivity analysis (of ten different scenarios) was performed. The sensitivity analysis implied changes of the weight coefficients criteria with respect to their original value. The proposed route model was tested on the real example of the transport Eurodiesel in Serbia. © 2018 Decision Making: Applications in Management and Engineering. All rights reserved.
引用
收藏
页码:66 / 85
页数:19
相关论文
共 34 条
  • [1] Bandyopadhyay S., Bhattacharya R., Finding optimum neighbor for routing based on multi-criteria, multi-agent and fuzzy approach, Journal of Intelligent Manufacturing, 26, 1, pp. 1-18, (2013)
  • [2] Chang C.H., Lin J.J., Linc J.H., Chiang M.C., Domestic open-end equity mutual fund performance evaluation using extended TOPSIS method with different distance approaches, Expert Systems with Applications, 37, 6, pp. 4642-4649, (2010)
  • [3] Das A., Mazumder T.N., Gupta A.K., Pareto frontier analyses based decision making tool for transportation of hazardous waste, Journal of Hazardous Materials, 227-228, pp. 341-352, (2012)
  • [4] Dilgir R., Zein S., Popoff A., Hazardous goods route selection criteria, Annual Conference of the Transportation Association of Canada, (2005)
  • [5] Erkut E., Verter V., Modeling of transport risk for hazardous materials, Operations Research, 46, 5, pp. 625-642, (1998)
  • [6] Gigovic LJ., Pamucar D., Bozanic D., Ljubojevic S., Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia, Renewable Energy, 103, pp. 501-521, (2017)
  • [7] Huang B., GIS-Based Route Planning for Hazardous Material Transportation, Journal of Environmental Informatics, 8, 1, pp. 49-57, (2006)
  • [8] Huang B., Fery P., Aiding route decision for hazardous material transportation, TRB 2005 Annual Meeting, (2005)
  • [9] Huang B., Long Cheu R., SengLiew Y., GIS and genetic algorithms for HAZMAT route planning with security considerations, International Journal of Geographical Information Science, 18, 8, pp. 769-787, (2004)
  • [10] Jia S.J., Yi J., Yang G.K., Du B., Zhu J., A multi-objective optimisation algorithm for the hot rolling batch scheduling problem, International Journal of Production Research, 51, 3, pp. 667-681, (2013)