How to cite this paper
Herrán, A., Defersha, F., Chen, M & Cruz, J. (2011). An integrated multi−period planning of the production and transportation of multiple petroleum products in a single pipeline system.International Journal of Industrial Engineering Computations , 2(1), 19-44.
Refrences
Cafaro, D. C. & Cerdá, J., (2003). A continuous-time approach to multiproduct pipeline scheduling. Computer-Aided Chemical Engineering, 65−73.
Cafaro, D. C. & Cerdá, J., (2004). Optimal scheduling of multiproduct pipeline systems using a nondiscrete MILP formulation. Computers and Chemical Engineering, 28, 2053-2068.
Cafaro, D. C. & Cerdá J. (2008). Dynamic scheduling of multiproduct pipelines with multiple delivery due dates. Computers and Chemical Engineering, 32, 728–753.
Camacho, E. F., Ridao M. A., Ternero, J. A. & Rodríguez, J. M. (1990). Optimal operation of pipeline transportation systems. Control of Transportation Systems, 5, 455-460.
Camponogara, E. & De Souza, P.S., (1996). ATeams for oil transportation problem through pipelines. Information Systems Analysis and Synthesis, Proceedings of the International Conference of Information Systems Analysis and Synthesis, Orlando, 718-725.
Chang, C. T., & Chang, C. C., (2000). A linearization method for mixed 0-1 polynomial programs. Computers & Operations Research, 27, 1005−1016.
Cruz, J. M, Andrés, B., Herrán, A., Besada, E. & Fernández, P. (2003). Multiobjective optimization of the transport in oil pipelines networks. 9th IEEE International Conference on Emerging Technologies and Factory Automation, 1, 566-573.
Cruz, J. M., Risco J. L., Herrán A. & Fernández P. (2004). Hybrid heuristic and mathematical programming in oil pipelines networks. Congress on evolutionary computation CEC2004, 1, 1479-1486.
Cruz, J. M., Herrán, A., Risco J. L. & Andrés B. (2005). Hybrid heuristic and mathematical programming in oil pipelines networks: use of inmigrants. Journal of Zhejiang University SCIENCE. 6A(1), 9-19.
De Felice, C.A., (1975). A discrete deterministic pipeline flow simulation with online scheduler interface to solve dynamic bach scheduling problems. Winter Computer Simulation Conference.
Defersha, F. M., Herrán A., Chen, M. & de la Cruz, J. M., (2008). A mathematical model for an integrated multi-period lanning of the production and transportation of multiple petroleum products in a pipeline system. In the proceeding of the Sixth annual International Symposium on Supply Chain Management, 143-160.
Ghezavati, V. R. & Saidi Mehrabad, M. (2010). An efficient linearization technique for mixed 0-1 polynomial problems. Journal of Computational and Applied Mathematics. Article in Press, doi:10.1016/j.cam.2010.08.009.
Hane, C. A. & Ratliff H. D. (1993). Sequencing inputs to multicommodity pipelines. Annals of Operations Research, 57, 77-109.
ILOG Inc., (2003). ILOG OPL Studio 3.6 Users Manual, http://www.ilog.com, 1080 Linda Vista Ave. Mountain View, CA 94043.
Magatao, L., Arruda, L.V. & Neves, Jr F., (2004). A mixed integer programming approach for scheduling commodities in a pipeline. Computers & Chemical Engineering, 28, 171-185.
Milidú, R. L., Pessoa A. A., & Laber E. S., (2002). Pipeline transportation of petroleum with no due dates. Proceedings of the 5th Latin American Symposium on Theoretical Informatics, 248-262.
Mirhassani, S.A., & Ghorbanalizadeh, M. (2008). The multiproduct pipeline scheduling system. Computers and Mathematics with Applications, 56(4), 891-897.
Rejowski, Jr. R. & Pinto, J.M. (2003). Scheduling of a multiproduct pipeline system. Computers and Chemical Engineering, 27, 1229-1246.
Rejowski, Jr. R. & Pinto, J.M. (2004). Efficient MILP formulations and valid cuts for multiproduct pipeline scheduling. Computers and Chemical Engineering, 28, 1511-1528.
Rejowski, Jr R., & Pinto J.M. (2008). A novel continuous time representation for the scheduling of pipeline systems with pumping yield rate constraints. Computers and Chemical Engineering, 32, 1042–1066.
Sasikumar, M., Prakash, P.R., Patil, S.M. & Ramani, S. (1997). PIPES: A heuristic search model for pipeline schedule generation. KnowledgeBased Systems, 10, 169-175.
Techo, R. & Holbrook, D.L. (1974). Computer scheduling the worlds' biggest product pipeline. Pipeline and Gas Journal, 4, 4-27.
Cafaro, D. C. & Cerdá, J., (2004). Optimal scheduling of multiproduct pipeline systems using a nondiscrete MILP formulation. Computers and Chemical Engineering, 28, 2053-2068.
Cafaro, D. C. & Cerdá J. (2008). Dynamic scheduling of multiproduct pipelines with multiple delivery due dates. Computers and Chemical Engineering, 32, 728–753.
Camacho, E. F., Ridao M. A., Ternero, J. A. & Rodríguez, J. M. (1990). Optimal operation of pipeline transportation systems. Control of Transportation Systems, 5, 455-460.
Camponogara, E. & De Souza, P.S., (1996). ATeams for oil transportation problem through pipelines. Information Systems Analysis and Synthesis, Proceedings of the International Conference of Information Systems Analysis and Synthesis, Orlando, 718-725.
Chang, C. T., & Chang, C. C., (2000). A linearization method for mixed 0-1 polynomial programs. Computers & Operations Research, 27, 1005−1016.
Cruz, J. M, Andrés, B., Herrán, A., Besada, E. & Fernández, P. (2003). Multiobjective optimization of the transport in oil pipelines networks. 9th IEEE International Conference on Emerging Technologies and Factory Automation, 1, 566-573.
Cruz, J. M., Risco J. L., Herrán A. & Fernández P. (2004). Hybrid heuristic and mathematical programming in oil pipelines networks. Congress on evolutionary computation CEC2004, 1, 1479-1486.
Cruz, J. M., Herrán, A., Risco J. L. & Andrés B. (2005). Hybrid heuristic and mathematical programming in oil pipelines networks: use of inmigrants. Journal of Zhejiang University SCIENCE. 6A(1), 9-19.
De Felice, C.A., (1975). A discrete deterministic pipeline flow simulation with online scheduler interface to solve dynamic bach scheduling problems. Winter Computer Simulation Conference.
Defersha, F. M., Herrán A., Chen, M. & de la Cruz, J. M., (2008). A mathematical model for an integrated multi-period lanning of the production and transportation of multiple petroleum products in a pipeline system. In the proceeding of the Sixth annual International Symposium on Supply Chain Management, 143-160.
Ghezavati, V. R. & Saidi Mehrabad, M. (2010). An efficient linearization technique for mixed 0-1 polynomial problems. Journal of Computational and Applied Mathematics. Article in Press, doi:10.1016/j.cam.2010.08.009.
Hane, C. A. & Ratliff H. D. (1993). Sequencing inputs to multicommodity pipelines. Annals of Operations Research, 57, 77-109.
ILOG Inc., (2003). ILOG OPL Studio 3.6 Users Manual, http://www.ilog.com, 1080 Linda Vista Ave. Mountain View, CA 94043.
Magatao, L., Arruda, L.V. & Neves, Jr F., (2004). A mixed integer programming approach for scheduling commodities in a pipeline. Computers & Chemical Engineering, 28, 171-185.
Milidú, R. L., Pessoa A. A., & Laber E. S., (2002). Pipeline transportation of petroleum with no due dates. Proceedings of the 5th Latin American Symposium on Theoretical Informatics, 248-262.
Mirhassani, S.A., & Ghorbanalizadeh, M. (2008). The multiproduct pipeline scheduling system. Computers and Mathematics with Applications, 56(4), 891-897.
Rejowski, Jr. R. & Pinto, J.M. (2003). Scheduling of a multiproduct pipeline system. Computers and Chemical Engineering, 27, 1229-1246.
Rejowski, Jr. R. & Pinto, J.M. (2004). Efficient MILP formulations and valid cuts for multiproduct pipeline scheduling. Computers and Chemical Engineering, 28, 1511-1528.
Rejowski, Jr R., & Pinto J.M. (2008). A novel continuous time representation for the scheduling of pipeline systems with pumping yield rate constraints. Computers and Chemical Engineering, 32, 1042–1066.
Sasikumar, M., Prakash, P.R., Patil, S.M. & Ramani, S. (1997). PIPES: A heuristic search model for pipeline schedule generation. KnowledgeBased Systems, 10, 169-175.
Techo, R. & Holbrook, D.L. (1974). Computer scheduling the worlds' biggest product pipeline. Pipeline and Gas Journal, 4, 4-27.