THE ALLOCATION OF CUSTOMERS TO WAREHOUSES OPTIMIZATION USING GENETIC ALGORITHMS

Ciprian CRISTEA

Abstract


The requirements for a new generation of manufacturing systems come from business objectives. Furthermore the organizations which understand the needs and expectations of the customers will do everything possible to meet their needs. To this end, the new manufacturing systems must change to stay competitive in today’s rapidly changing business climate. In terms of the topics approached, this study follows the current national and international researches regarding the implementation of genetic algorithms in the production systems domain. The allocation of customers to capacitated warehouses is a current issue. The supply management of deposits represents a big challenge for the organizations which target the costs reduction and, at the same time, the improvement of customer services. This paper presents the allocation of customers to warehouses optimization using genetic algorithms.

Full Text:

Untitled

References


Cristea C., Cercetări privind proiectarea şi managementul sistemelor de producţie, Teză de doctorat, UTC-N, Cluj-Napoca, 2008.

Haupt R. L., Haupt S. E., Practical Genetic Algorithms, John Wiley&Sons Publishing, New-Jersey, 2004.

Li L., Supply Chain Management: Concepts, Techniques and Practices. Enhancing Value Through Collaboration, World Scientific Publishing Co. Pte. Ltd., Singapore, 2007.

Rajesh R., Pugazhendhi S., Gabesh K., Simulated annealing for balanced allocation problem, International Journal of Advanced Manufacturing Technology, Volume 61, Issue 5-8, pp. 431-440, ISSN 0268-3768, Springer-Verlag Publishing, 2012.

Tudose L., Pop D., Proiectare optimală cu algoritmi genetici, Editura Mediamira, Cluj-Napoca, 2002.

Zhou G., Min H., Gen M., Capacitated warehouse allocation of customers with a primary and a secondary warehouse: a genetic algorithm approach, The 5th International Conference on Engineering Design& Automation, Las Vegas, pp. 599-604, 2001.


Refbacks

  • There are currently no refbacks.


JOURNAL INDEXED IN :