Identification and prioritization of hazardous material transportation strategies using DEA method

Abstract: Development of industries needs expansion of public transportation and, consequently, heavy transportation increases hazardous and dangerous transportation too. Therefore, we need to consider some strategies to reduce bad effects of transportation of hazardous materials such as road accidents. Strength, Weakness, Opportunity and Treats (SWOT) analysis is an applicable method for designing strategies in this area. However, SWOT analysis does not provide specific strategies and it does not consider the efficiency and performance of each strategy. Applying a hybrid method of analyzing the strategies and their performance evaluation help decision makers select the best strategies based on the current limitations. In this paper, different strategies for hazardous transportation risk reduction are designed and relative efficiencies of all alternatives are compared using DEA method. The proposed model of this paper uses three inputs including implementation costs, operation and maintenance cost and operational and four outputs including accident rate reduction, fuel consumption reduction, employment rate increment and deaths number reduction. The results of the implementation using seven different strategies have yielded two important strategies including continuous improvement of vehicle standards, driving skills, transportation system quality, and loading methods and expansion of petroleum pipe network.

How to cite this paper

 Esmaeili, S., Hosseinpour, M., Sheikhi, K & Naderi, N. (2012). Identification and prioritization of hazardous material transportation strategies using DEA method.Management Science Letters , 2(8), 3049-3054.

Refrences

Ahmadkhani, A., & Babakhania, M. (2011). An empirical study to measure the relative efficiencies of training organizations using data envelopment analysis. Management Science Letters, 1(2), 195-202.
Ball, R., & Wilkinson, R. H. (2000). Measuring the performance of higher education institutions. proceedings of the thirteenth international forum of the European Association for Institutional Research. 219 – 234.
Charnes A, Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of the Operational Research, 2, 429–44.
Charnes A, Cooper W. W., Lewin, A., Seiford, L. M. (1994). Data envelopment analysis: theory, methodology and applications. Massachusetts: Kluwer Academic Publishers.
Fallah, M., Aryanezhad, M. B., Najafi, S. E., & Shahsavaripour, N. (2011). An empirical study on measuring the relative efficiency using DEA method: A case study of bank industry. Management Science Letters, 1(1), 49-56.
Ghazinoory, S. & Kheirkhah, A.S. (2008). Transportation of hazardous materials in Iran: A strategic approach for decreasing accidents. Transport, 23(2), 104–111.
Kheirkhah, A.S., Esmailzadeh, A., & Ghazinoory, S. (2009). Developing strategies to reduce the risk of hazardous materials transportation in Iran using the method of fuzzy SWOT analysis, Transport. 24(4), 325-332.
Roghanian, E. & Foroughi, A. (2010). An empirical study of Iranian regional airports using robust data envelopment analysis. International Journal of Industrial Engineering Computations, 1(1), 65-72.
Sarkis, J. (1997). A comparative analysis of DEA as a discrete alternative multiple criteria decision tool. European Journal of Operational Research, 19(1), 96-109.