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A Solution Approach for Routing of Carriers of Hazardous Materials Problem Based on Risk and Time

Kazemi Ashtiani, Mohammad Reza | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50728 (01)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Kianfar, Farhad
  7. Abstract:
  8. Due to the importance of hazardous materials (hazmat) transportation, this problem should be programmed and solved appropriately. Hazardous materials are substances that may endanger the health of humans, animals and the environment. One of the most important parameters in hazmat transportation problem is risk, since other routing researches don’t involve risk as an influencing parameter. In the scientific literature of the transport of hazardous materials, the risk is defined by the calculation of the probability and severity of damage to the endangered recipient through unwanted warnings from hazardous substances. In the model of this research, the accident rate is considered as the probability of damage to the receiver and the traffic rate as the severity of the damage to the receiver.Our work considers risk and time as objective variables and binary variables of paths as decision variables. The routing problem for hazmat in transportation network of Rey city and its suburb is solved in this thesis. To solve the problem's model, two economic and safety approaches have been proposed. The economic approach is based on the objective function of minimizing time and the safety approach is based on the objective function of minimizing risk.The routing equations in our work, form a mixed integer linear programming which is solved by using CPLEX solver. The model has been written in GAMS software. The simulation results suggest which centers (either hospital or firestation) are needed to be established near which routes and at the end, two approaches: "Economic" and "Safety" are compared in terms of risk and time parameters
  9. Keywords:
  10. Hazardous Materials ; Routing ; Risk ; Mixed Integer Linear Programming ; Transportation Network

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