Aplicación de algoritmos genéticos para optimizar el modelo de Nils Boysen y Simon Emde con base en la determinación del número de supermercados en un sistema de producción Pull
Abstract
The goal of any organization is to increase productivity in lower cost. To achieve this, new technologies and philosophies in JIT and Kan-Ban systems are being sought. The use of "Supermarket Systems" is an evolution of Kan-Ban as one of the tools to achieve JIT production as it seeks to reduce inventories in the production process. The implementation of these systems using genetic algorithms make it expands its area of application and study. This paper presents a resolution of a model of the studies from Nils Boysen and Simon Emde by this method with the aim of extending their area of study on the subject. The results of the study have difficulties in the simulation but they are favorable and similar to those authors presented by other authors.
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References
Boysen, N., Bock, S., (2011) Scheduling just-in-time part supply for mixed-model assembly lines. European Journal of Operational Research 211, 15–25.
Emde, S., Boysen, N. (2012a) Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines. International Journal of.Production Economics 135, 393–402.
Emde, S., Boysen, N. (2012b) Optimally routing and scheduling tow trains for JIT-supply of mixed-model assembly lines. European Journal of Operational Research, 212, 282–299.
Boysen, N., Emde, S. (2013) Scheduling the part supply of mixed‐model assembly lines in line‐integrated supermarkets. European Journal of Operational Research, 239(3), 820–829.
Goldberg, D.E. (2003) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley Longman, Boston, MA.
Golz, G. G. (2010) Part feeding at high-variant mixed-model assembly lines. In. Proceedings of the 12th International Annual EurOMA Conference.
Limère, V. (2013) To kit or not to kit: optimizing part feeding in the automotive assembly industry. SPRINGERLINK, 11(1), 92–98.
Monden, Y. (1983) Toyota Production Systems: Practical approach to production management, Industrial Engineering and Management Press, Atlanta, GA.
Ohno, T. (1988) Toyota Production system: Beyond large-scale production, Productivity Press, Cambridge, MA.
Sivaraj, R., Ravichandran, T. (2011) A review of selection methods in genetic algorithm. International Journal of Engineering Science and Technology, 3(5), 3792–3797.