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References
- Adams, F. G., Griffin, J. M. (1972). An economic-linear programming model of the US petroleum refining industry. J. Am. Stat. Assoc. 67(339), pp. 542–551 .
- Adebayo, A. and Dada A. S. (2008). An evaluation ofthe causes of oil pipeline incidents in oil and gas industries in Niger Delta Region of Nigeria. Journal of Engineering and Applied Sciences, 3(3), pp. 279-281.
- Akpoghomeh, O.S. and Badejo, D. (2006). Petroleum product scarcity: a review of the supply and distribution of petroleum products in Nigeria. OPEC Review, 30(1), 2740.
- Al-Qahtani, K., Elkamel, A. (2008). Multisite facility network integration design and coordination: an application to the refining industry. Comput. Chem. Eng. 32(10), pp. 2189–2202.
- An, H., Wilhelm, W.E., and Searcy, S.W. (2011). Biofuel and petroleum-based fuel supply chain research: a literature review. Biomass and Bioenergy, 35(9), pp. 3763-3774.
- An, H., Wilhelm, W.E., and Searcy, S.W. (2011). Biofuel and petroleum-based fuel supply chain research: a literature review. Biomass Bioenergy 35(9), pp. 3763–3774.
- Anon. (2011). Petroleum liquids pipelines continue to increase transported volumes. Pipeline Gas J. 238(3), pp. 48–51 .
- Aronofsky, J. and Williams, A. (1962). The use of linear programming and mathematical models in under-ground oil production. Manage. Sci., 8(4), pp. 394–407.
- Auwal, U. and Mamman J.A. (2012). Thedownstream sector: An assessment of petroleum products supply in Nigeria [online]. 5th Annual NAEE/ IAEE International Conference, Abuja, Nigeria. Available at: http://naee.org.ng/files/Auwal_Mamman%20Full%20Paper%20NAEE2012%20( 2).pdf? [Accessed 20 April 2015].
- Bravo, J. J. and Vidal, C. J. (2013). Freight transportation function in supply chain optimization models: a critical review of recent trends. Expert Syst. Appl. 40(17), pp. 6742–6757.
- Briggs, C.A., Tolliver, D., and Szmerekovsky, J. (2012). Managing and mitigating the upstream petroleum industry supply chain risks: leveraging analytic hierarchy process. Int. J. Bus. Econ. Perspect, 7(1).
- Catchpole, A. R. (1962). The application of linearprogramming to integrated supply problems in the oil industry. Operational Research Society, 13(2), pp. 161-169.
- Chryssolouris, G., Papakostas, N., and Mourtzis, D., (2005). Refinery short-term scheduling with tank farm, inventory and distillation management: an integrated simulation based approach. Eur. J. Oper. Res., 166(3), pp. 812–827.
- Furchtgott-Roth, D. (2013). Pipelines are safest fortransportation of oil and gas [online]. Energyand Environment, Manhattan Institute for Policy Research, 23, pp. 1-10. Available from: http://www.manhattaninstitute.org/pdf/ ib_23.pdf [Accessed 10January 2015].
- Kazemi, Y., Szmerekovsky, J. (2015). Transportation Research Part E 83, pp. 111–125.
References
Adams, F. G., Griffin, J. M. (1972). An economic-linear programming model of the US petroleum refining industry. J. Am. Stat. Assoc. 67(339), pp. 542–551 .
Adebayo, A. and Dada A. S. (2008). An evaluation ofthe causes of oil pipeline incidents in oil and gas industries in Niger Delta Region of Nigeria. Journal of Engineering and Applied Sciences, 3(3), pp. 279-281.
Akpoghomeh, O.S. and Badejo, D. (2006). Petroleum product scarcity: a review of the supply and distribution of petroleum products in Nigeria. OPEC Review, 30(1), 2740.
Al-Qahtani, K., Elkamel, A. (2008). Multisite facility network integration design and coordination: an application to the refining industry. Comput. Chem. Eng. 32(10), pp. 2189–2202.
An, H., Wilhelm, W.E., and Searcy, S.W. (2011). Biofuel and petroleum-based fuel supply chain research: a literature review. Biomass and Bioenergy, 35(9), pp. 3763-3774.
An, H., Wilhelm, W.E., and Searcy, S.W. (2011). Biofuel and petroleum-based fuel supply chain research: a literature review. Biomass Bioenergy 35(9), pp. 3763–3774.
Anon. (2011). Petroleum liquids pipelines continue to increase transported volumes. Pipeline Gas J. 238(3), pp. 48–51 .
Aronofsky, J. and Williams, A. (1962). The use of linear programming and mathematical models in under-ground oil production. Manage. Sci., 8(4), pp. 394–407.
Auwal, U. and Mamman J.A. (2012). Thedownstream sector: An assessment of petroleum products supply in Nigeria [online]. 5th Annual NAEE/ IAEE International Conference, Abuja, Nigeria. Available at: http://naee.org.ng/files/Auwal_Mamman%20Full%20Paper%20NAEE2012%20( 2).pdf? [Accessed 20 April 2015].
Bravo, J. J. and Vidal, C. J. (2013). Freight transportation function in supply chain optimization models: a critical review of recent trends. Expert Syst. Appl. 40(17), pp. 6742–6757.
Briggs, C.A., Tolliver, D., and Szmerekovsky, J. (2012). Managing and mitigating the upstream petroleum industry supply chain risks: leveraging analytic hierarchy process. Int. J. Bus. Econ. Perspect, 7(1).
Catchpole, A. R. (1962). The application of linearprogramming to integrated supply problems in the oil industry. Operational Research Society, 13(2), pp. 161-169.
Chryssolouris, G., Papakostas, N., and Mourtzis, D., (2005). Refinery short-term scheduling with tank farm, inventory and distillation management: an integrated simulation based approach. Eur. J. Oper. Res., 166(3), pp. 812–827.
Furchtgott-Roth, D. (2013). Pipelines are safest fortransportation of oil and gas [online]. Energyand Environment, Manhattan Institute for Policy Research, 23, pp. 1-10. Available from: http://www.manhattaninstitute.org/pdf/ ib_23.pdf [Accessed 10January 2015].
Kazemi, Y., Szmerekovsky, J. (2015). Transportation Research Part E 83, pp. 111–125.