El coste del proceso de cambio de útiles

Un proceso productivo está configurado por un conjunto de actividades y operaciones cuyo objetivo es elaborar un producto de calidad y con el mínimo coste. Una de esas actividades que configuran el proceso productivo es el cambio de útiles. El cambio de útiles se puede definir como el conjunto de operaciones que se realizan sobre los equipos de producción, para prepararlos y puedan producir el nuevo producto que va a entrar en la nueva fase productiva. Esta actividad debe de realizarse y controlarse bajo los parámetros de eficiencia, eficacia y con el mínimo coste. El presente estudio propone una metodología de valoración de los costes del proceso de cambio de útiles y presenta un programa informático que se ha empleado para analizar dichos costesRodríguez Méndez, M.; Cárcel Carrasco, FJ. (2014). El coste del proceso de cambio de útiles. Dyna Ingeniería e Industria. 89(5):504-509. doi:10.6036/7139S50450989

Enfoques para la Resolución del Problema ELSP

[ES] En este trabajo se pretende realizar una recopilación de los enfoques planteados en la literatura para la resolución del problema de Programación del Lote Económico, esto es, ELSP. Estos métodos son: Solución Independiente, Ciclo Común, Periodo Básico, Periodo Básico Extendido y Variación del Tamaño de Lote. Para cada una de las aproximaciones de solución se plantea a quien son atribuidas, el correspondiente modelo, así como una serie de referencias que lo han empleado.Este trabajo ha sido realizado gracias a la financiación de la Universidad Politécnica de Valencia, a través del proyecto PAID-05-09-4335 "Coordinación de flujos de materiales e información en sistemas distribuidos de producción".Vidal Carreras, PI. (2010). Enfoques para la Resolución del Problema ELSP. Working Papers on Operations Management. 1(2):31-43. doi:10.4995/wpom.v1i2.787SWORD314312Ballou, R. H. (2004). Logística: Administración de la cadena de suministro. Pearson Educación.Ben-Daya, M., & Hariga, M. (2000). Economic lot scheduling problem with imperfect production processes. Journal of the Operational Research Society, 51(7), 875-881. doi:10.1057/palgrave.jors.2600974Bomberger, E. E. (1966). A Dynamic Programming Approach to a Lot Size Scheduling Problem. Management Science, 12(11), 778-784. doi:10.1287/mnsc.12.11.778Brander, P.; Forsberg, R. (2004). Determination of safety stocks for cyclic schedules with stochastic demands. International Journal of Production Economics, Vol. In Press, Corrected Proof.Brander, P., Levén, E., & Segerstedt, A. (2005). Lot sizes in a capacity constrained facility—a simulation study of stationary stochastic demand. International Journal of Production Economics, 93-94, 375-386. doi:10.1016/j.ijpe.2004.06.034Carstensen, P. (1999). Das Economic Lot Scheduling Problem - Überblick und LP-basiertes Verfahren. OR Spectrum, 21(4), 429-460. doi:10.1007/s002910050097Chandrasekaran, C., Rajendran, C., Chetty, O. V. K., & Hanumanna, D. (2007). Metaheuristics for solving economic lot scheduling problems (ELSP) using time-varying lot-sizes approach. European J. of Industrial Engineering, 1(2), 152. doi:10.1504/ejie.2007.014107Davis, S. G. (1990). Scheduling Economic Lot Size Production Runs. Management Science, 36(8), 985-998. doi:10.1287/mnsc.36.8.985Delporte, C. M., & Thomas, L. J. (1977). Lot Sizing and Sequencing forNProducts on One Facility. Management Science, 23(10), 1070-1079. doi:10.1287/mnsc.23.10.1070Dobson, G. (1987). The Economic Lot-Scheduling Problem: Achieving Feasibility Using Time-Varying Lot Sizes. Operations Research, 35(5), 764-771. doi:10.1287/opre.35.5.764Doll, C. L., & Whybark, D. C. (1973). An Iterative Procedure for the Single-Machine Multi-Product Lot Scheduling Problem. Management Science, 20(1), 50-55. doi:10.1287/mnsc.20.1.50Elmaghraby, S. E. (1978). The Economic Lot Scheduling Problem (ELSP): Review and Extensions. Management Science, 24(6), 587-598. doi:10.1287/mnsc.24.6.587Erlenkotter, D. (1990). Ford Whitman Harris and the Economic Order Quantity Model. Operations Research, 38(6), 937-946. doi:10.1287/opre.38.6.937Eynan, A. (2003). The Benefits of Flexible Production Rates in the Economic Lot Scheduling Problem. IIE Transactions, 35(11), 1057-1064. doi:10.1080/07408170304400Gallego, G. (1990). Scheduling the Production of Several Items with Random Demands in a Single Facility. Management Science, 36(12), 1579-1592. doi:10.1287/mnsc.36.12.1579Gallego, G., & Moon, I. (1992). The Effect of Externalizing Setups in the Economic Lot Scheduling Problem. Operations Research, 40(3), 614-619. doi:10.1287/opre.40.3.614Gallego, G., & Roundy, R. (1992). The economic lot scheduling problem with finite backorder costs. Naval Research Logistics, 39(5), 729-739. doi:10.1002/1520-6750(199208)39:53.0.co;2-nGALLEGO, G., & SHAW, D. X. (1997). Complexity of the ELSP with general cyclic schedules. IIE Transactions, 29(2), 109-113. doi:10.1080/07408179708966318GASCON, A., LEACHMAN, R. C., & LEFRANÇOIS, P. (1994). Multi-item, single-machine scheduling problem with stochastic demands: a comparison of heuristics. International Journal of Production Research, 32(3), 583-596. doi:10.1080/00207549408956954Giri, B. C., Moon, I., & Yun, W. Y. (2003). Scheduling economic lot sizes in deteriorating production systems. Naval Research Logistics, 50(6), 650-661. doi:10.1002/nav.10082Goyal, S. . (1997). Observation on the economic lot scheduling problem: Theory and practice. International Journal of Production Economics, 50(1), 61. doi:10.1016/s0925-5273(97)00025-xHaessler, R. W. (1979). An Improved Extended Basic Period Procedure for Solving the Economic Lot Scheduling Problem. A I I E Transactions, 11(4), 336-340. doi:10.1080/05695557908974480Haessler, R. W., & Hogue, S. L. (1976). Note—A Note on the Single-Machine Multi-Product Lot Scheduling Problem. Management Science, 22(8), 909-912. doi:10.1287/mnsc.22.8.909Hahm, J., & Yano, C. A. (1995). The Economic Lot and Delivery Scheduling Problem: Powers of Two Policies. Transportation Science, 29(3), 222-241. doi:10.1287/trsc.29.3.222Hanssmann, F. (1962). Operations-Research in Production and Inventory Control. J. Wiley.Harris, F. W. (1913). How many parts to make an once. Factory, The Magazine of Management, Vol. 10, nº. 2, pp. 135-6-152.Hsu, W.-L. (1983). On the General Feasibility Test of Scheduling Lot Sizes for Several Products on One Machine. Management Science, 29(1), 93-105. doi:10.1287/mnsc.29.1.93HWANG, H., KIM, D. B., & KIM, Y. D. (1993). Multiproduct economic lot size models with investment costs for setup reduction and quality improvement. International Journal of Production Research, 31(3), 691-703. doi:10.1080/00207549308956751JONES, P. C., & INMAN, R. R. (1989). When Is The Economic Lot Scheduling Problem Easy? IIE Transactions, 21(1), 11-20. doi:10.1080/07408178908966202Khouja, M., Michalewicz, Z., & Wilmot, M. (1998). The use of genetic algorithms to solve the economic lot size scheduling problem. European Journal of Operational Research, 110(3), 509-524. doi:10.1016/s0377-2217(97)00270-1Khoury, B. N., Abboud, N. E., & Tannous, M. M. (2001). The common cycle approach to the ELSP problem with insufficient capacity. International Journal of Production Economics, 73(2), 189-199. doi:10.1016/s0925-5273(00)00175-4Larrañeta, J., & Onieva, L. (1988). The Economic Lot-Scheduling Problem: A Simple Approach. Journal of the Operational Research Society, 39(4), 373-379. doi:10.1057/jors.1988.65Leachman, R. C., & Gascon, A. (1988). A Heuristic Scheduling Policy for Multi-Item, Single-Machine Production Systems with Time-Varying, Stochastic Demands. Management Science, 34(3), 377-390. doi:10.1287/mnsc.34.3.377Madigan, J. G. (1968). Scheduling a Multi-Product Single Machine System for an Infinite Planning Period. Management Science, 14(11), 713-719. doi:10.1287/mnsc.14.11.713Maxwell, W. L. (1964). The scheduling of economic lot sizes. Naval Research Logistics Quarterly, 11(2), 89-124. doi:10.1002/nav.3800110202Moon, I., Giri, B. C., & Choi, K. (2002). Economic lot scheduling problem with imperfect production processes and setup times. Journal of the Operational Research Society, 53(6), 620-629. doi:10.1057/palgrave.jors.2601350Moon, I., Silver, E. A., & Choi, S. (2002). Hybrid genetic algorithm for the economic lot-scheduling problem. International Journal of Production Research, 40(4), 809-824. doi:10.1080/00207540110095222MOON, I., HAHM, J., & LEE, C. (1998). The effect of the stabilization period on the economic lot scheduling problem. IIE Transactions, 30(11), 1009-1017. doi:10.1080/07408179808966557Öner, S., & Bilgiç, T. (2008). Economic lot scheduling with uncontrolled co-production. European Journal of Operational Research, 188(3), 793-810. doi:10.1016/j.ejor.2007.05.016Schweitzer, P. J., & Silver, E. A. (1983). Technical Note—Mathematical Pitfalls in the One Machine Multiproduct Economic Lot Scheduling Problem. Operations Research, 31(2), 401-405. doi:10.1287/opre.31.2.401Segerstedt, A. (1999). Lot sizes in a capacity constrained facility with available initial inventories. International Journal of Production Economics, 59(1-3), 469-475. doi:10.1016/s0925-5273(98)00111-xSoman, C. A., Pieter van Donk, D., & Gaalman, G. (2006). Comparison of dynamic scheduling policies for hybrid make-to-order and make-to-stock production systems with stochastic demand. International Journal of Production Economics, 104(2), 441-453. doi:10.1016/j.ijpe.2004.08.002Soman, C. A., van Donk, D. P., & Gaalman, G. (2004). Combined make-to-order and make-to-stock in a food production system. International Journal of Production Economics, 90(2), 223-235. doi:10.1016/s0925-5273(02)00376-6Soman, C. A., van Donk, D. P., & Gaalman, G. J. C. (2007). Capacitated planning and scheduling for combined make-to-order and make-to-stock production in the food industry: An illustrative case study. International Journal of Production Economics, 108(1-2), 191-199. doi:10.1016/j.ijpe.2006.12.042Stankard, M. F.; Gupta, S. K. (1969). A note on Bomberger's approach to lot size scheduling: Heuristic proposed. Management Science Series A-Theory, Vol. 15, nº. 7, pp. 449-452.Sun, H., Huang, H.-C., & Jaruphongsa, W. (2009). The economic lot scheduling problem under extended basic period and power-of-two policy. Optimization Letters, 4(2), 157-172. doi:10.1007/s11590-009-0154-5Tunasar, C.; Rajgopal, J. (1996). An evolutionary computation approach to the economic lot scheduling problem Deparment of Industrial Engineering, University of Pittsburgh, Pittsburgh.Vergin, R. C.; Lee, T. N. (1978). Scheduling Rules for Multiple Product Single Machine System with Stochastic Demand. Infor, Vol. 16, nº. 1, pp. 64-73.Wilson, R. H. (1934). A scientific routine for stock control. Harvard Business Review, Vol. 13, nº. 1, pp. 116-128.Yao, M. J. & Chang, Y. J. (2009). Solving the economic lot scheduling problem with multiple facilities in parallel using the time-varying lot sizes approach, in Eighth International Conference on Information and Management Sciences, p. F224.Zipkin, P. H. (1991). Computing Optimal Lot Sizes in the Economic Lot Scheduling Problem. Operations Research, 39(1), 56-63. doi:10.1287/opre.39.1.5

An investigation of production and transportation policies for multi-item and multi-stage production systems

Die vorliegende kumulative Dissertation besteht aus fünf Artikeln, einem Arbeitspapier und vier Artikeln, die in wissenschaftlichen Zeitschriften veröffentlicht wurden. Alle fünf Artikel beschäftigen sich mit der Losgrößenplanung, jedoch mit unterschiedlichen Schwerpunkten. Artikel 1 bis 4 untersuchen das Economic Lot Scheduling Problem (ELSP), während sich der fünfte Artikel mit einer Variante des Joint Economic Lot Size (JELS) Problems beschäftigt. Die Struktur dieser Dissertation trägt diesen beiden Forschungsrichtungen Rechnung und ordnet die ersten vier Artikel dem Teil A und den fünften Artikel dem Teil B zu