How to cite this paper
Díaz-Mateus, Y., Forero, B., López-Ospina, H & Zambrano-Rey, G. (2018). Pricing and lot sizing optimization in a two-echelon supply chain with a constrained Logit demand function.International Journal of Industrial Engineering Computations , 9(2), 205-220.
Refrences
Ardjmand, E., Weckman, G. R., Young, W. A., Sanei Bajgiran, O., & Aminipour, B. (2016). A robust optimisation model for production planning and pricing under demand uncertainty. International Journal of Production Research, 54(13), 3885-3905.
Bai, T., Kan, Y. B., Chang, J. X., Huang, Q., & Chang, F. J. (2017). Fusing feasible search space into PSO for multi-objective cascade reservoir optimization. Applied Soft Computing, 51, 328-340.
Berger, P. D., & Bechwati, N. N. (2001). The allocation of promotion budget to maximize customer equity. Omega, 29(1), 49-61.
Block, H. D., & Marschak, J. (1960). Random orderings and stochastic theories of responses. Contributions to probability and statistics, 2, 97-132.
Bogotá, A. M. (2003). CARACTERIZACIÓN SOCIOECONÓMICA DE BOGOTÁ Y LA REGIÓN–V8.
Caicedo, F., Lopez-Ospina, H., & Pablo-Malagrida, R. (2016). Environmental repercussions of parking demand management strategies using a constrained logit model. Transportation Research Part D: Transport and Environment, 48, 125-140.
Castillo-López, I., & López-Ospina, H. A. (2015). School location and capacity modification considering the existence of externalities in students school choice. Computers & Industrial Engineering, 80, 284-294.
Castro, M., Martínez, F., & Munizaga, M. A. (2013). Estimation of a constrained multinomial logit model. Transportation, 40(3), 563-581.
Chen, M., & Chen, Z. L. (2015). Recent developments in dynamic pricing research: multiple products, competition, and limited demand information. Production and Operations Management, 24(5), 704-731.
Deng, S., & Yano, C. A. (2006). Joint production and pricing decisions with setup costs and capacity constraints. Management Science, 52(5), 741-756.
Ding, Y., Veeman, M. M., & Adamowicz, W. L. (2012). The influence of attribute cutoffs on consumers' choices of a functional food. European Review of Agricultural Economics, 39(5), 745-769.
Geunes, J., Romeijn, H. E., & Taaffe, K. (2006). Requirements planning with pricing and order selection flexibility. Operations Research, 54(2), 394-401.
Ghoniem, A., & Maddah, B. (2015). Integrated retail decisions with multiple selling periods and customer segments: optimization and insights. Omega, 55, 38-52.
Ghoreishi, M., Weber, G. W., & Mirzazadeh, A. (2015). An inventory model for non-instantaneous deteriorating items with partial backlogging, permissible delay in payments, inflation-and selling price-dependent demand and customer returns. Annals of Operations Research, 226(1), 221-238.
González, C., & Serna, N. (2013). The consumer's choice among television displays: A multinomial logit approach. Lecturas de Economía, (79), 199-228.
Guedria, N. B. (2016). Improved accelerated PSO algorithm for mechanical engineering optimization problems. Applied Soft Computing, 40, 455-467.
Hashemi, S. M., Rezapour, M., & Moradi, A. (2010). An effective hybrid PSO-based algorithm for planning UMTS terrestrial access networks. Engineering Optimization, 42(3), 241-251.
Herrera Rojas, C. (2014). Desarrollo de un modelo de elección de ruta en metro. Master thesis. Universidad de Chile.
Van den Heuvel, W., & Wagelmans, A. P. (2006). A polynomial time algorithm for a deterministic joint pricing and inventory model. European Journal of Operational Research, 170(2), 463-480.
Jafari, H., Soltani, A., & Soltani, M. (2013). Measuring the performance of FCM versus PSO for fuzzy clustering problems. International Journal of Industrial Engineering Computations, 4(3), 387-392.
Karimi-Nasab, M., Modarres, M., & Seyedhoseini, S. M. (2015). A self-adaptive PSO for joint lot sizing and job shop scheduling with compressible process times. Applied Soft Computing, 27, 137-147.
Kennedy, J., & Mendes, R. (2002). Population structure and particle swarm performance. In Evolutionary Computation, 2002. CEC'02. Proceedings of the 2002 Congress on (Vol. 2, pp. 1671-1676). IEEE.
Kim, D., & Lee, W. J. (1998). Optimal joint pricing and lot sizing with fixed and variable capacity. European Journal of Operational Research, 109(1), 212-227.
Kumar, E. V., Raaja, G. S., & Jerome, J. (2016). Adaptive PSO for optimal LQR tracking control of 2 DoF laboratory helicopter. Applied Soft Computing, 41, 77-90.
López-Ospina, H. A., Martínez, F. J., & Cortés, C. E. (2016). Microeconomic model of residential location incorporating life cycle and social expectations. Computers, Environment and Urban Systems, 55, 33-43.
López-Ospina, H. A., Cortés, C. E., & Martínez, F. J. (2017). Residential relocation dynamics: A microeconomic model based on agents’ socioeconomic change and learning. The Journal of Mathematical Sociology, 41(1), 46-61.
Márquez-Díaz, L. G., Gallo-González, L. A., & Chacón-Pérez, C. A. (2011). Influence of Parking Costs on the Use of Cars in Bogota. Ingeniería y Universidad, 15(1), 105-124.
Martínez, F., Aguila, F., & Hurtubia, R. (2009). The constrained multinomial logit: A semi-compensatory choice model. Transportation Research Part B: Methodological, 43(3), 365-377.
Martínez, F., & Donoso, P. (2010). The MUSSA II land use auction equilibrium model. In Residential Location Choice (pp. 99-113). Springer Berlin Heidelberg.
Martinez, F. J., Tamblay, L., & Weintraub, A. (2011). School locations and vacancies: a constrained logit equilibrium model. Environment and Planning A, 43(8), 1853-1874.
Moghadam, B., & Seyedhosseini, S. (2010). A particle swarm approach to solve vehicle routing problem with uncertain demand: A drug distribution case study. International Journal of Industrial Engineering Computations, 1(1), 55-64.
McFadden, D. (1975). The revealed preferences of a government bureaucracy: Theory. The Bell Journal of Economics, 401-416.
Perez, J., Lopez-Ospina, H., Cataldo, A., & Ferrer, J. C. (2016). Pricing and composition of bundles with constrained multinomial logit. International Journal of Production Research, 54(13), 3994-4007.
Shavandi, H., Mahlooji, H., & Nosratian, N. E. (2012). A constrained multi-product pricing and inventory control problem. Applied Soft Computing, 12(8), 2454-2461.
Taleizadeh, A. A., & Noori-daryan, M. (2016). Pricing, manufacturing and inventory policies for raw material in a three-level supply chain. International Journal of Systems Science, 47(4), 919-931.
Tiempo, Casa Editorial El. (2016a). “El Mercado de Televisores Mueve US$ 1.000 Millones Al Año.” Portafolio.co. Accessed May 27.
Tiempo, Casa Editorial. (2016b). “Mundial de Brasil Cambiará El Ciclo de Ventas de Televisores.” Portafolio.co. Accessed May 27.
Xu, J., Zeng, Z., Han, B., & Lei, X. (2013). A dynamic programming-based particle swarm optimization algorithm for an inventory management problem under uncertainty. Engineering Optimization, 45(7), 851-880.
Yaghin, R., Ghomi, S. M. T., & Torabi, S. A. (2014). Enhanced joint pricing and lotsizing problem in a two-echelon supply chain with logit demand function. International Journal of Production Research, 52(17), 4967-4983.
Zahara, E., & Hu, C. H. (2008). Solving constrained optimization problems with hybrid particle swarm optimization. Engineering Optimization, 40(11), 1031-1049.
Bai, T., Kan, Y. B., Chang, J. X., Huang, Q., & Chang, F. J. (2017). Fusing feasible search space into PSO for multi-objective cascade reservoir optimization. Applied Soft Computing, 51, 328-340.
Berger, P. D., & Bechwati, N. N. (2001). The allocation of promotion budget to maximize customer equity. Omega, 29(1), 49-61.
Block, H. D., & Marschak, J. (1960). Random orderings and stochastic theories of responses. Contributions to probability and statistics, 2, 97-132.
Bogotá, A. M. (2003). CARACTERIZACIÓN SOCIOECONÓMICA DE BOGOTÁ Y LA REGIÓN–V8.
Caicedo, F., Lopez-Ospina, H., & Pablo-Malagrida, R. (2016). Environmental repercussions of parking demand management strategies using a constrained logit model. Transportation Research Part D: Transport and Environment, 48, 125-140.
Castillo-López, I., & López-Ospina, H. A. (2015). School location and capacity modification considering the existence of externalities in students school choice. Computers & Industrial Engineering, 80, 284-294.
Castro, M., Martínez, F., & Munizaga, M. A. (2013). Estimation of a constrained multinomial logit model. Transportation, 40(3), 563-581.
Chen, M., & Chen, Z. L. (2015). Recent developments in dynamic pricing research: multiple products, competition, and limited demand information. Production and Operations Management, 24(5), 704-731.
Deng, S., & Yano, C. A. (2006). Joint production and pricing decisions with setup costs and capacity constraints. Management Science, 52(5), 741-756.
Ding, Y., Veeman, M. M., & Adamowicz, W. L. (2012). The influence of attribute cutoffs on consumers' choices of a functional food. European Review of Agricultural Economics, 39(5), 745-769.
Geunes, J., Romeijn, H. E., & Taaffe, K. (2006). Requirements planning with pricing and order selection flexibility. Operations Research, 54(2), 394-401.
Ghoniem, A., & Maddah, B. (2015). Integrated retail decisions with multiple selling periods and customer segments: optimization and insights. Omega, 55, 38-52.
Ghoreishi, M., Weber, G. W., & Mirzazadeh, A. (2015). An inventory model for non-instantaneous deteriorating items with partial backlogging, permissible delay in payments, inflation-and selling price-dependent demand and customer returns. Annals of Operations Research, 226(1), 221-238.
González, C., & Serna, N. (2013). The consumer's choice among television displays: A multinomial logit approach. Lecturas de Economía, (79), 199-228.
Guedria, N. B. (2016). Improved accelerated PSO algorithm for mechanical engineering optimization problems. Applied Soft Computing, 40, 455-467.
Hashemi, S. M., Rezapour, M., & Moradi, A. (2010). An effective hybrid PSO-based algorithm for planning UMTS terrestrial access networks. Engineering Optimization, 42(3), 241-251.
Herrera Rojas, C. (2014). Desarrollo de un modelo de elección de ruta en metro. Master thesis. Universidad de Chile.
Van den Heuvel, W., & Wagelmans, A. P. (2006). A polynomial time algorithm for a deterministic joint pricing and inventory model. European Journal of Operational Research, 170(2), 463-480.
Jafari, H., Soltani, A., & Soltani, M. (2013). Measuring the performance of FCM versus PSO for fuzzy clustering problems. International Journal of Industrial Engineering Computations, 4(3), 387-392.
Karimi-Nasab, M., Modarres, M., & Seyedhoseini, S. M. (2015). A self-adaptive PSO for joint lot sizing and job shop scheduling with compressible process times. Applied Soft Computing, 27, 137-147.
Kennedy, J., & Mendes, R. (2002). Population structure and particle swarm performance. In Evolutionary Computation, 2002. CEC'02. Proceedings of the 2002 Congress on (Vol. 2, pp. 1671-1676). IEEE.
Kim, D., & Lee, W. J. (1998). Optimal joint pricing and lot sizing with fixed and variable capacity. European Journal of Operational Research, 109(1), 212-227.
Kumar, E. V., Raaja, G. S., & Jerome, J. (2016). Adaptive PSO for optimal LQR tracking control of 2 DoF laboratory helicopter. Applied Soft Computing, 41, 77-90.
López-Ospina, H. A., Martínez, F. J., & Cortés, C. E. (2016). Microeconomic model of residential location incorporating life cycle and social expectations. Computers, Environment and Urban Systems, 55, 33-43.
López-Ospina, H. A., Cortés, C. E., & Martínez, F. J. (2017). Residential relocation dynamics: A microeconomic model based on agents’ socioeconomic change and learning. The Journal of Mathematical Sociology, 41(1), 46-61.
Márquez-Díaz, L. G., Gallo-González, L. A., & Chacón-Pérez, C. A. (2011). Influence of Parking Costs on the Use of Cars in Bogota. Ingeniería y Universidad, 15(1), 105-124.
Martínez, F., Aguila, F., & Hurtubia, R. (2009). The constrained multinomial logit: A semi-compensatory choice model. Transportation Research Part B: Methodological, 43(3), 365-377.
Martínez, F., & Donoso, P. (2010). The MUSSA II land use auction equilibrium model. In Residential Location Choice (pp. 99-113). Springer Berlin Heidelberg.
Martinez, F. J., Tamblay, L., & Weintraub, A. (2011). School locations and vacancies: a constrained logit equilibrium model. Environment and Planning A, 43(8), 1853-1874.
Moghadam, B., & Seyedhosseini, S. (2010). A particle swarm approach to solve vehicle routing problem with uncertain demand: A drug distribution case study. International Journal of Industrial Engineering Computations, 1(1), 55-64.
McFadden, D. (1975). The revealed preferences of a government bureaucracy: Theory. The Bell Journal of Economics, 401-416.
Perez, J., Lopez-Ospina, H., Cataldo, A., & Ferrer, J. C. (2016). Pricing and composition of bundles with constrained multinomial logit. International Journal of Production Research, 54(13), 3994-4007.
Shavandi, H., Mahlooji, H., & Nosratian, N. E. (2012). A constrained multi-product pricing and inventory control problem. Applied Soft Computing, 12(8), 2454-2461.
Taleizadeh, A. A., & Noori-daryan, M. (2016). Pricing, manufacturing and inventory policies for raw material in a three-level supply chain. International Journal of Systems Science, 47(4), 919-931.
Tiempo, Casa Editorial El. (2016a). “El Mercado de Televisores Mueve US$ 1.000 Millones Al Año.” Portafolio.co. Accessed May 27.
Tiempo, Casa Editorial. (2016b). “Mundial de Brasil Cambiará El Ciclo de Ventas de Televisores.” Portafolio.co. Accessed May 27.
Xu, J., Zeng, Z., Han, B., & Lei, X. (2013). A dynamic programming-based particle swarm optimization algorithm for an inventory management problem under uncertainty. Engineering Optimization, 45(7), 851-880.
Yaghin, R., Ghomi, S. M. T., & Torabi, S. A. (2014). Enhanced joint pricing and lotsizing problem in a two-echelon supply chain with logit demand function. International Journal of Production Research, 52(17), 4967-4983.
Zahara, E., & Hu, C. H. (2008). Solving constrained optimization problems with hybrid particle swarm optimization. Engineering Optimization, 40(11), 1031-1049.