How to cite this paper
Bijaghini, A & SeyedHosseini, S. (2018). A new Bi– level production-routing-inventory model for a medicine supply chain under uncertainty.International Journal of Data and Network Science, 2(1), 15-26.
Refrences
Amorim, P., Günther, H. O., & Almada-Lobo, B. (2012). Multi-objective integrated production and distribution planning of perishable products. International Journal of Production Economics, 138(1), 89-101.
Bard, J. F. (1983). An efficient point algorithm for a linear two-stage optimization problem. Operations Research, 31(4), 670-684.
Bard, J. F., & Purnomo, H. W. (2007). Cyclic preference scheduling of nurses using a Lagrangian-based heuristic. Journal of Scheduling, 10(1), 5-23.
Bertolini, M., Bottani, E., Rizzi, A., Volpi, A., & Renzi, P. (2013). Shrinkage reduction in perishable food supply chain by means of an RFID-based FIFO management policy. International Journal of RF Technologies, 5(3-4), 123-136.
Bialas, W., & Karwan, M. (1978). Multilevel linear programming. State University of New York at Buffa-lo, 78-1.
Chen, Y., & Florian, M. (1992). On the geometric structure of linear bilevel programs: a dual ap-proach. CENTRE DE RECHERCHE SUR LES TRANSPORTS PUBLICATION, (867).
Gamst, M., & Jensen, T. S. (2012). A branch-and-price algorithm for the long-term home care schedul-ing problem. In Operations research proceedings 2011 (pp. 483-488). Springer, Berlin, Heidelberg.
Gholamian, M. R., Momeni, S. M. & Sakaki, S. E. (2013). Offering an approach based on integral choquet in the pharmaceutical supply chain.
Govil, M., & Proth, J. M. (2002). Supply chain design and management: strategic and tactical perspec-tives. Academic Press.
Hansen, P., Jaumard, B., & Savard, G. (1992). New branch-and-bound rules for linear bilevel program-ming. SIAM Journal on scientific and Statistical Computing, 13(5), 1194-1217.
Jaipuria, S., & Mahapatra, S. S. (2014). An improved demand forecasting method to reduce bullwhip effect in supply chains. Expert Systems with Applications, 41(5), 2395-2408.
Jebbor, S., El Afia, A., Chiheb, R., & Ouzayd, F. (2016, October). Comparative analysis of drug supply and inventory management methods literature review. In Information Science and Technology (CiSt), 2016 4th IEEE International Colloquium on (pp. 13-18). IEEE.
Kalantari, M., & Pishvaee, M. S. (2016). A robust possibilistic programming approach to drug supply chain master planning.
Li, H., & Womer, K. (2009). Scheduling projects with multi-skilled personnel by a hybrid MILP/CP benders decomposition algorithm. Journal of Scheduling, 12(3), 281.
Maenhout, B., & Vanhoucke, M. (2010). Branching strategies in a branch-and-price approach for a mul-tiple objective nurse scheduling problem. Journal of Scheduling, 13(1), 77-93.
Moore, J. T., & Bard, J. F. (1990). The mixed integer linear bilevel programming problem. Operations research, 38(5), 911-921.
Nematollahi, M., Hosseini-Motlagh, S. M., & Heydari, J. (2017). Economic and social collaborative de-cision-making on visit interval and service level in a two-echelon pharmaceutical supply chain. Journal of cleaner production, 142, 3956-3969.
Postacchini, L., Ciarapica, F. E., Bevilacqua, M., Mazzuto, G., & Paciarotti, C. (2016). A way for re-ducing drug supply chain cost for a hospital district: A case study. Journal of Industrial Engineering and Management, 9(1), 207-230.
Rabeh, R., Saïd, K., & Eric, M. (2011). Collaborative model for planning and scheduling caregivers’ ac-tivities in homecare. IFAC Proceedings Volumes, 44(1), 2877-2882.
Rasmussen, M. S., Justesen, T., Dohn, A., & Larsen, J. (2012). The home care crew scheduling problem: Preference-based visit clustering and temporal dependencies. European Journal of Operational Re-search, 219(3), 598-610.
Redjem, R., Kharraja, S., Xie, X., & Marcon, E. (2012, June). Routing and scheduling of caregivers in home health care with synchronized visits. In 9th International Conference on Modeling, Optimiza-tion & SIMulation.
Sarin, S. C., Wang, Y., & Varadarajan, A. (2010). A university-timetabling problem and its solution us-ing Benders’ partitioning—a case study. Journal of Scheduling, 13(2), 131-141.
Shi, C., Lu, J., & Zhang, G. (2005). An extended Kuhn–Tucker approach for linear bilevel program-ming. Applied Mathematics and Computation, 162(1), 51-63.
Shi, C., Lu, J., Zhang, G., & Zhou, H. (2006). An extended branch and bound algorithm for linear bi-level programming. Applied Mathematics and Computation, 180(2), 529-537.
Singh, R. K., Kumar, R., & Kumar, P. (2016). Strategic issues in pharmaceutical supply chains: a re-view. International Journal of Pharmaceutical and Healthcare Marketing, 10(3), 234-257.
Trautsamwieser, A., & Hirsch, P. (2014). A Branch‐Price‐and‐Cut approach for solving the medium‐term home health care planning problem. Networks, 64(3), 143-159.
Tuy, H., Migdalas, A., & Värbrand, P. (1993). A global optimization approach for the linear two-level program. Journal of Global Optimization, 3(1), 1-23.
Vicente, L., Savard, G., & Judice, J. (1996). Discrete linear bilevel programming problem. Journal of optimization theory and applications, 89(3), 597-614.
Bard, J. F. (1983). An efficient point algorithm for a linear two-stage optimization problem. Operations Research, 31(4), 670-684.
Bard, J. F., & Purnomo, H. W. (2007). Cyclic preference scheduling of nurses using a Lagrangian-based heuristic. Journal of Scheduling, 10(1), 5-23.
Bertolini, M., Bottani, E., Rizzi, A., Volpi, A., & Renzi, P. (2013). Shrinkage reduction in perishable food supply chain by means of an RFID-based FIFO management policy. International Journal of RF Technologies, 5(3-4), 123-136.
Bialas, W., & Karwan, M. (1978). Multilevel linear programming. State University of New York at Buffa-lo, 78-1.
Chen, Y., & Florian, M. (1992). On the geometric structure of linear bilevel programs: a dual ap-proach. CENTRE DE RECHERCHE SUR LES TRANSPORTS PUBLICATION, (867).
Gamst, M., & Jensen, T. S. (2012). A branch-and-price algorithm for the long-term home care schedul-ing problem. In Operations research proceedings 2011 (pp. 483-488). Springer, Berlin, Heidelberg.
Gholamian, M. R., Momeni, S. M. & Sakaki, S. E. (2013). Offering an approach based on integral choquet in the pharmaceutical supply chain.
Govil, M., & Proth, J. M. (2002). Supply chain design and management: strategic and tactical perspec-tives. Academic Press.
Hansen, P., Jaumard, B., & Savard, G. (1992). New branch-and-bound rules for linear bilevel program-ming. SIAM Journal on scientific and Statistical Computing, 13(5), 1194-1217.
Jaipuria, S., & Mahapatra, S. S. (2014). An improved demand forecasting method to reduce bullwhip effect in supply chains. Expert Systems with Applications, 41(5), 2395-2408.
Jebbor, S., El Afia, A., Chiheb, R., & Ouzayd, F. (2016, October). Comparative analysis of drug supply and inventory management methods literature review. In Information Science and Technology (CiSt), 2016 4th IEEE International Colloquium on (pp. 13-18). IEEE.
Kalantari, M., & Pishvaee, M. S. (2016). A robust possibilistic programming approach to drug supply chain master planning.
Li, H., & Womer, K. (2009). Scheduling projects with multi-skilled personnel by a hybrid MILP/CP benders decomposition algorithm. Journal of Scheduling, 12(3), 281.
Maenhout, B., & Vanhoucke, M. (2010). Branching strategies in a branch-and-price approach for a mul-tiple objective nurse scheduling problem. Journal of Scheduling, 13(1), 77-93.
Moore, J. T., & Bard, J. F. (1990). The mixed integer linear bilevel programming problem. Operations research, 38(5), 911-921.
Nematollahi, M., Hosseini-Motlagh, S. M., & Heydari, J. (2017). Economic and social collaborative de-cision-making on visit interval and service level in a two-echelon pharmaceutical supply chain. Journal of cleaner production, 142, 3956-3969.
Postacchini, L., Ciarapica, F. E., Bevilacqua, M., Mazzuto, G., & Paciarotti, C. (2016). A way for re-ducing drug supply chain cost for a hospital district: A case study. Journal of Industrial Engineering and Management, 9(1), 207-230.
Rabeh, R., Saïd, K., & Eric, M. (2011). Collaborative model for planning and scheduling caregivers’ ac-tivities in homecare. IFAC Proceedings Volumes, 44(1), 2877-2882.
Rasmussen, M. S., Justesen, T., Dohn, A., & Larsen, J. (2012). The home care crew scheduling problem: Preference-based visit clustering and temporal dependencies. European Journal of Operational Re-search, 219(3), 598-610.
Redjem, R., Kharraja, S., Xie, X., & Marcon, E. (2012, June). Routing and scheduling of caregivers in home health care with synchronized visits. In 9th International Conference on Modeling, Optimiza-tion & SIMulation.
Sarin, S. C., Wang, Y., & Varadarajan, A. (2010). A university-timetabling problem and its solution us-ing Benders’ partitioning—a case study. Journal of Scheduling, 13(2), 131-141.
Shi, C., Lu, J., & Zhang, G. (2005). An extended Kuhn–Tucker approach for linear bilevel program-ming. Applied Mathematics and Computation, 162(1), 51-63.
Shi, C., Lu, J., Zhang, G., & Zhou, H. (2006). An extended branch and bound algorithm for linear bi-level programming. Applied Mathematics and Computation, 180(2), 529-537.
Singh, R. K., Kumar, R., & Kumar, P. (2016). Strategic issues in pharmaceutical supply chains: a re-view. International Journal of Pharmaceutical and Healthcare Marketing, 10(3), 234-257.
Trautsamwieser, A., & Hirsch, P. (2014). A Branch‐Price‐and‐Cut approach for solving the medium‐term home health care planning problem. Networks, 64(3), 143-159.
Tuy, H., Migdalas, A., & Värbrand, P. (1993). A global optimization approach for the linear two-level program. Journal of Global Optimization, 3(1), 1-23.
Vicente, L., Savard, G., & Judice, J. (1996). Discrete linear bilevel programming problem. Journal of optimization theory and applications, 89(3), 597-614.