An application of Kernel estimation method to the demand in two-stage inventory model

References

• Birge, J. R., & Louveaux, F. (2011). Introduction to stochastic programming. New York, NY: Springer.
   Google Scholar
• Escudero, L., Garín, M., Merino, M., & Pérez, G. (2009). A general algorithm for solving two-stage stochastic mixed 0–1 first-stage problems. Computers and Operations Research, 36, 2590–2600.
   Web of Science ®Google Scholar
• Gjerdrum, J., Samsatli, N., Shah, N., & Papageorgiou, L. (2005). Optimisation of policy parameters in supply chain applications. International Journal of Logistics Research and Application, 8, 15–36.
   Google Scholar
• Gülpinar, N., Rustem, B., & Settergren, R. (2004). Simulation and optimization approaches to scenario tree generation. Journal of Economic Dynamics and Control, 28, 1291–1315.
   Web of Science ®Google Scholar
• Hadley, G., & Whitin, T. (1963). Analysis of inventory systems. Upper Saddle River, NJ: Prentice-Hall.
   Google Scholar
• Hayya, J., Bagchi, U., Kim, J., & Sun, D. (2008). On static stochastic order crossover. International Journal of Production Economics, 114, 404–413.
   Web of Science ®Google Scholar
• Hillier, F., & Lieberman, G. (2005). Introduction to operational research. New York, NY: McGraw Hill.
   Google Scholar
• Johnson, L., & Montgomery, D. (1974). Operations research in production planning, scheduling and inventory control. New York, NY: Wiley.
   Google Scholar
• Marchant, C., Bertin, K., Leiva, V., & Saulo, H. (2013). Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data. Computational Statistics and Data Analysis, 63, 1–15.
   Web of Science ®Google Scholar
• Nahmias, S. (2001). Production and operations analysis. New York, NY: McGraw Hill.
   Google Scholar
• Namit, K., & Chen, J. (1999). Solutions to the inventory model for gamma lead-time demand. International Journal of Physical Distribution and Logistics Management, 29, 138–154.
   Google Scholar
• Pillonetto, G., Dinuzzo, F., Chen, T., De Nicolao, G., & Ljung, L. (2014). Kernel methods in system identification, machine learning and function estimation: A survey. Automatica, 50, 657–682.
   Web of Science ®Google Scholar
• Price, K. V., Storn, R. M., & Lampinen, J. A. (2006). Differential evolution: A practical approach to global optimization. Berlin: Springer.
   Google Scholar
• Rao, B. P. (2014). Nonparametric functional estimation. Orlando, FL: Academic Press.
   Google Scholar
• Rojas, F. & Leiva, V. (2016). Inventory management in food companies with demand statistically dependent. ARLA: Academia Revista Latinoamericana de Administración, 29, 450–485.
   Web of Science ®Google Scholar
• Rojas, F., Leiva, V., Wanke, P., & Marchant, C. (2015). Optimization of contribution margins in food services by modeling independent component demand. Revista Colombiana de Estadística, 38, 1–30.
   Google Scholar
• Shapiro, A., Dentcheva, D., & Ruszczynski, A. (2014). Lectures on stochastic programming: Modeling and theory (Vol. 16). Philadelphia, PA: SIAM.
   Google Scholar
• Silver, E., Pyke, D., & Peterson, R. (1998). Inventory management and production planning and scheduling. New York, NY: Wiley.
   Google Scholar
• Thangaraj, R., Pant, M., Bouvry, P., & Abraham, A. (2010). Solving multi objective stochastic programming problems using differential evolution. In B. Panigrahi, S. Das, P. Suganthan, & S. Dash (Eds.), Swarm, Evolutionary, and Memetic Computing (Vol. 6466, pp. 54–61). Berlin-Heidelberg: Springer.
   Google Scholar
• Wang, S., Wang, J., & Chung, F.-L. (2014). Kernel density estimation, kernel methods, and fast learning in large data sets. IEEE Transactions on Cybernetics, 44(1), 1–20.
   PubMed Web of Science ®Google Scholar
• Wanke, P., Ebwank, H., Leiva, V., & Rojas, F. (2016). Inventory management for new products with triangularly distributed demand and lead-time. Computers and Operations Research, 69, 97–108.
   Web of Science ®Google Scholar
• Wanke, P., & Leiva, V. (2015). Exploring the potential use of the Birnbaum-Saunders distribution in inventory management. Mathematical Problems in Engineering, 1–9. Article ID 827246.
   Web of Science ®Google Scholar
• Zhu, L. Y., Ma, Y. Z., & Zhang, L. Y. (2014). Ensemble model for order priority in make-to-order systems under supply chain environment. In Management Science & Engineering (ICMSE), 2014 International Conference on (pp. 321–328). Helsinki: IEEE.
   Google Scholar