Journal of Intelligent Transportation and Urban Planning
Journal of Intelligent Transportation and Urban Planning(ITUP)
ISSN:2373-0757(Print)
ISSN:2373-0765(Online)
Frequency: Annually
Website: www.bowenpublishing.com/itup/
Developing a Tolerated Risk Model for Solving Routing-Locating Problem in Hazardous Material Management
Abstract:
Because the use of hazardous materials (Hazmat for short) is getting to be widespread in industries, general view of considerable consequences of their accident impacts should remain assured. Therefore, hazardous material transport safety has a special importance in transportation planning. In the locating and routing problems which are remarkable concerns in Hazmat transportation, objective function is usually defined regarding to cost and transport risk. In this research work, a two-stage procedure has been defined to formulate the risk and cost effects in Hazmat transportation. Since, transport risk is more important issue in hazardous materials transportation, risk is minimized at the first stage. The optimum risk is used to determine the best routes according to the annual cost. In order to make a mathematical model in more flexible conditions a tolerated risk is used for solving locating and routing problems. Using the well-known technique of preemptive goal programming guarantees that tolerated risk is used to determine the best routes and optimal locations for Hazmat distribution centres. For validation process, an experimental network which consists of 89 nodes and 103 two-way links has been selected as case study. Results show that the proposed model is capable to determine the best locations as distribution centres in which decision makers have different viewpoints on the importance of risk and cost attributes over the road network.
Keywords:Routing-Locating Problem; Hazardous Materials; Tolerated Transport Risk; Fuel Distribution Centres
Author: Abbas Mahmoudabadi,Rozita Farokhi,Amir-Afshin Fattahi

References:

  1. K. G. Zografos, and K. N. Androutsopoulos, “A heuristic algorithm for solving hazardous materials distribution problems,” European Journal of Operational Research, vol. 152, pp. 507-519, 2004.
  2. A. Mahmoudabadi, and S. M. Seyedhosseini, “Solving Hazmat Routing Problem in Chaotic Damage Severity Network under Emergency Environment,” Transport Policy, vol. 36, pp. 34-45, 2014.
  3. A. Mahmoudabadi, “Developing a Chaotic pattern of dynamic risk definition for solving hazardous material routing-locating problem,” Journal of Loss Prevention in the Process Industries, vol. 37, pp. 1-10, 2015.
  4. Environment Health and safety, “Hazardous material classification,” NC state university, 2011. Available: http://www.ncsu.edu/ehs/dot/classification.html
  5. A. Reilly, L. Nozick, and D. Jones, “Game theory – based indentifiction of facility use restrictions for the movement of hazardous materials,” Transportation Research Part E, vol. 48, pp. 115-131, 2012.
  6. J. Yang, F. Li, J. Zhou, L. Zhang, L. Huang, and J. Bi, “A survey on hazardous materials accidents during road transport in China from 2000 to 2008,” Journal of Hazardous Materials, vol. 184(1-3), pp. 647-653, 2010.
  7. E. Erkut, and F. Gzara, “Solving the hazmat transport network design problem,” Computers & Operations Research, vol. 35, pp. 2234-2247, 2008.
  8. B. Y. Kara, and V. Verter, “Designing a Road Network for Hazardous Materials Transportation,” Transportation Science, vol. 38(2), pp. 188-196, 2004.
  9. J. Zhao, and V. Verter, “A bi-objective model for the used oil location-routing problem,” Computers & Operations Research, vol. 62, pp 157-168, 2015.
  10. P. Carotenuto, S. Giordani, and S. Ricciardelli, “Finding Minimum and Equitable Risk Routes for Hazmat Shipments,” Computers & Operations Research, vol. 34(5), pp. 1304-1327, 2007.
  11. S. Bonvicini, and G. Spadoni, “A hazmat multi-commodity routing model satisfying risk criteria: A case study,” Journal of Loss Prevention and Process Industries, vol. 21, pp. 345-358, 2008.
  12. B. Ashtakala, and L. A. Eno, “Minimum Risk Route Model for Hazardous Materials,” Journal of Transportation Engineering, vol. 122(5), 1996.
  13. S. T. Panwhar, R. Pitt, and M. D. Anderson, “Development of a GIS-Based Hazardous Materials Transportation Management System,” UTCA Report 99244, University Transportation Center for Alabama, 2000.
  14. Q. Meng, D. Lee, and R. L. Cheu, “Multi-objective Vehicle Routing and Scheduling Problem with Time Window Constraints in Hazardous Material Transportation,” Journal of Transportation Engineering, vol. 131(9), pp. 699-707, 2005.
  15. E. Erkuta, and O. Alpb, “Designing a road network for hazardous materials shipments,” Computers and Operation Research, vol. 34, pp. 1389-1405, 2007.
  16. J. Zhou, and B. Liu, “New stochastic models for capacitated location allocation problem,” Computers & Industrial Engineering, vol. 45, pp. 111-125, 2003.
  17. O. Boyer, T. S. Hong, A. Pedram, R. B. M. Yusuff, and N. Zulkifli, “A Mathematical Model for the Industrial Hazardous Waste Location-Routing Problem,” Journal of Applied Mathematics, Article ID 435272, 10 pages, 2013.
  18. X. Shen, C. Xie, H. Liu, and M. Qiu, “Model and Algorithm for Routing and Scheduling Problem in Hazardous Materials Transportation Network,” Journal of Networks, vol. 8(5), pp. 1027-1034, 2013.
  19. X. Yang, F. Ma, K. Li, Y. Guo, J. Hu, W. Li, M. Huo, and Y. Guo, “Mixed phase titania nanocomposite codoped with metallic silver and vanadium oxide: New efficient photocatalyst for dye degradation,” Journal of Hazardous Materials, vol. 175(1-3), pp. 429-438, 2010.
  20. N. Konstantinos, and A. Zografos, “Solving the criterian routing and scheduling problem for hazardous materials distribution,” Transportation Research Part C, vol. 18, pp. 713-726, 2010.
  21. B. Jarboui, H. Derbel, S. Hanafi, and N. Mladenovic, “Variable neighborhood search for location routing,” Computers & Operations Research, vol. 40, pp. 47-57, 2013.
  22. J. W. Escobar, R. Linfati, and P. Toth, “A twophase hybrid heuristic algorithm for the capacitated location-routing problem,” Computers & Operations Research, vol. 40, pp. 70-79, 2013.