Warehouse logistics management with ABC analysis
Abstract
The supply chain is the network where all the activities of acquisition, transformation, and delivery of goods and services are integrated. In the supply chain, inventory has the function of satisfying customer demand, supporting the supply in production, and at the same time, offering protection to the inputs used in the manufacture of the product. In this work, inventory management is analysed through a case study in a company in the food sector. Considering that it is essential to take advantage of the space where the raw material is stored, to reduce operating times and to minimize the loss of perishable products, this article considers the use of techniques based on an ABC analysis and the application of a genetic algorithm. A configuration of the warehouse distribution is proposed considering variables such as the volume and frequency of entry of products into the company. The results of this study show the optimal route for the collection and management of inventory within the warehouse, minimizing the transfer distances, contributing to the improvement in the level of service in the company's operations.
Downloads
References
A. Fumi, L. Scarabotti, y M. Schiraldi, “The Effect of Slot-Code Optimization in Warehouse Order Picking,” International Journal of Engineering Business Management Int. j. eng. bus. manag., 2013, Vol. 5, 20:2013.
C.E. Diaz, y J.A. Cadena “Decisiones fundamentales para estudiar el proceso de alistamineto de pedidos: revision de literatura” Gerenc. Tecnol. Inform. | Vol. 12 | N° 34 | Sep - Dic | pp 17 – 28: 2013.
J.A. Pazour, y H.J. Carlo, “Warehouse reshuffling: Insights and optimization,” Transportation Research Part E: Logistics and Transportation Review, 73 (1), 207–226. 2015.
S. Henn, y V. Schmid, “Metaheuristics for order batching and sequencing in manual order picking systems,” Computers & Industrial Engineering, 66(2), 338-351 2013.
R. Koster, E. Van Der Poort, y M. Wolters, “Efficient Order Batching Methods in Warehouses.”, International Journal of Production Research, 37 (7), 1479-1504. 1998
J.A. Cano, A. Correa-Espinal, y R. Gómez-Montoya, “Solución del Problema de Conformación de Lotes en Almacenes utilizando Algoritmos Genéticos”, Información Tecnológica, vol. 29(6), pp. 235-244, 2018.
R. Venkitasubramony y G. Kumar, “Design of an order-picking warehouse factoring vertical travel and space sharing,” Int J Adv Manuf Technol. 91:1921–1934, DOI 10.1007/s00170-016-9879-3. 2017.
L. F. Cardona, L. Rivera y H. J. Matinez,” Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy,” Ingeniería y Ciencia ISSN:1794-9165 | ISSN-e: 2256-4314 ing. cienc., vol. 12, no. 24, pp. 221–248, julio-diciembre. 2016.
Y. Khojasteh, y J. Son, “A travel time model for order picking systems in automated warehouses,” Int J Adv Manuf Technol 86:2219–2229 DOI 10.1007/s00170-016-8340. 2016.
M. Espinoza, A. A. Aguilar, y C. G. Moras,”Diseño de instalaciones y asignación de productos con algoritmo genéticos para un empresa cafetalera,” Revista de la Ingeniería Industrial, ISSN 1940-2163, Vol. 10, No. 1,8-21. 2016
S.Kiris, D. Deliktas, y O. Ustun, “Order Picking Problem in a Warehouse with Bi-Objective Genetic Algorithm Approach: Case Study,” The 15th International Logistics and Supply Chain Congress (LMSCM)” on October 19-20. 2017.
