Publicado

2019-04-01

Storage allocation optimization model in a Colombian company

Modelo de optimización de la asignación de espacios de almacenamientos en una empresa colombiana

DOI:

https://doi.org/10.15446/dyna.v86n209.77527

Palabras clave:

Storage allocation, Performance indicators, Warehouse, Management, CPLEX (en)
Asignación de espacios, Indicadores de desempeño, Almacenes, Administración, CPLEX (es)

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Autores/as

The storage allocation in warehouse is about of deciding the corresponding areas in which the products must be allocated. It can be made using different techniques to stablish the specific position for the products. Some applications provide solutions and evaluate results independently, allowing the identification of its potential in warehouses. This paper presents the application of a storage allocation model in a food company considering several products in a defined time horizon. The algorithm identifies the operation area and the corresponding spaces that are required for the products allocation, aimed to reduce holding and material handling costs. As a result, the application of the algorithm produces a complete product allocation in each period and improves the cost efficiency in the warehouse.

Para la asignación de espacio en el almacén se utilizan técnicas de ubicación de diversos ítems en espacios determinados. Algunas aplicaciones proporcionan soluciones y evalúan resultados en forma independiente, lo que permite identificar su potencial de implementación en almacenes. En este trabajo se presenta un caso de una empresa de productos alimenticios que maneja diversos tipos de productos, para la cual se propone un algoritmo en el que se pretende realizar una adecuada disposición de los productos en la bodega a lo largo de un horizonte de tiempo definido. Este algoritmo identifica las diferentes áreas operacionales y la cantidad de espacios requeridos en los cuales los productos deber ser ubicados, buscando la reducción de los costos de mantener y manipular los productos. Como resultado, la aplicación de este algoritmo asegura una asignación completa de los productos en cada periodo con una alta eficiencia en costos.

Referencias

Tompkins, J.A., White, J.A., Bozer, Y.A. and Tanchoco, J.M.A. Facilities planning (4th Ed.) New York: John Wiley & Sons, 2010.

Arango-Serna, M.D., Zapata-Cortes J.A. and Pemberthy, J.I. Reestructuración del layout de la zona de picking en una bodega industrial, Revista ingeniería Universidad de los Andes. N. 32 pp. 54-61, 2010.

Kouvelis, P., Kurawarwala, A.A. and Gutiérrez, G.J. Algorithms for robust single and multiple period layout planning for manufacturing systems. European Journal of Operational Research 63, pp. 287-303, 1992.

Stützle, T. Iterated local search for the quadratic assignment problem. European Journal of Operational Research 174, pp. 1519-1539, 2006.

Baker, P. And Canessa, M. Warehouse design: a structured approach. European Journal of Operational Research 193, pp. 425–436, 2009.

Da Cunha Reis, A., Gomes de Souza, C. and Nogeira da Costa, N. Warehouse design: a systematic literature review. Brazilian Journal of Operations & Production Management 14, pp 542-555, 2017.

Kostrzewski, M. The procedure of warehouses designing as an integral part of the warehouses designing method and the designing software. International Journal of Mathematical Models and Methods in Applied Sciences 6 (4), pp. 535-543, 2012.

Behnamian, J. and Eghtedari, B. Storage System Layout. In Facility Location. Physica-Verlag HD, pp. 419-450, 2009.

Matić, D., Filipović, V., Savić, A. and Stanimirović, Z. A genetic algorithm for solving multiple warehouse problem. Kragujevac Journal of Mathematics 35 (1), pp. 119-138, 2011.

Zhang, L. (2006). Combining path relinking and genetic algorithms for multiple-level warehouse layout problem. European Journal of Operational Research 169, pp. 413-425, 2006.

El Koury, C. and Arnaut, J.P. Metaheuristic for the Multiple Level Warehouse Layout Problem, Lecture Notes in Business Information Processing 115, pp. 240–248, 2012.

Zhang, L. Tabu search approaches for the multi-level warehouse layout problem with adjacency constraints. Engineering Optimization 42 (8), pp. 775-790, 2010.

Sanei, O., Nasiri, V., Marjani, M.R. and Moattar, S.M. A heuristic algorithm for the warehouse space assignment problem considering operational constraints: with application in a case study. 2011 International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia, January 22, 2011.

Guerriero, F., Musmanno, R., Pisacane, O. and Rende, F. A mathematical model for the multi-levels product allocation problem in a warehouse with compatibility constraints. Applied Mathematical Modelling 37, pp. 4385-4398, 2013.

Buil, R. and Piera, M. A. Warehouse redesign to satisfy tight supply chain management constraints. WSEAS Transactions on Information Science and Applications 5 (3), pp. 286-291, 2008.

Roodbergen, K.J. and Vis, I.F. A model for warehouse layout. IIE Transactions 38 (10), pp. 799-811, 2006.

Pan, J.C.H., Shih, P.H. and Wu, M.H. Storage assignment problem with travel distance and blocking considerations for a picker-to-part order picking system. Computers & Industrial Engineering 62, pp. 527–535, 2012.

Gagliardi, J.P., Renaud, J. and Ruiz, A. Models for automated storage and retrieval systems: a literature review. International Journal of Production Research 50 (24), pp. 7110-7125, 2012.

Bottani, E., Cecconi, M., Vignali, G. and Montanari, R. Optimisation of storage allocation in order picking operations through a genetic algorithm, International Journal of Logistics Research and Applications: A Leading Journal of Supply Chain Management 15 (2), pp. 127-146, 2012.

Heragu, S.S., Du, L., Mantel, R.J. and Schuur, P.C. Mathematical model for warehouse design and product allocation. International Journal of Production Research 43 (2), pp. 327-338, 2005.

Faber, N., De Koster, M.B.M. and Smidts, A. Organizing warehouse management. International Journal of Operations and Production Management 33 (9), pp. 1230-1256, 2013.

Roodbergen, K. J., Vis, I. F. and Taylor Jr, G. D. Simultaneous determination of warehouse layout and control policies. International Journal of Production Research, 53 (11), pp. 3306-3326, 2015.

Abdoli, S. and Kara, S. Designing Warehouse Logical Architecture by Applying Object Oriented Model Based System Engineering. Procedia CIRP. 50. 713-718, 2016. 10.1016/j.procir.2016.04.108.

Adarme, W., Otero, M.A., Rodríguez, T.A. and Tejeda, L. Optimization of a warehouse layout used for storage of materials used in ship construction and repair. Ship Science & Technology 5 (10), pp. 59-70, 2012.

Meller, R.D. and Gue, K.R. The application of new aisle design for unit-load warehouses. Proceedings of 2009 NSF Engineering Research and Innovation Conference, Honolulu, Hawaii, pp. 1-8, 2009.

Pohl, L.M., Meller, R.D. and Gue, K.R. An analysis of dual-command operations in common warehouse designs. Transportation Research Part E 45, pp. 367–379, 2009.

Cardona, L.F., Rivera, L. and Martínez, H.J. Analytical study of the Fishbone warehouse layout. International Journal of Logistics Research and Applications: A leading journal of Supply Chain Management 15 (6), pp. 365-388, 2012.

Yang, J.H. and Kim, K.H. A grouped storage method for minimizing relocations in block stacking systems. Journal of Intelligent Manufacturing 17, pp. 453-463, 2006.

Caserta, M., Voss, S. and Sniedovich, M. Applying the corridor method to a blocks relocation problem. OR Spectrum 33, pp. 915-929, 2011.

Caserta, M., Schwarze, S. and Voss, S. A new binary description of the blocks relocation problem and benefits in a look ahead heuristic. 9th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), Tubingen, Germany, pp. 37-48, 2009

Kim, K.H. and Hong, G.P. A heuristic rule for relocating blocks. Computers & Operations Research 33, pp. 940–954, 2006.

Gu, J., Goetschalckx, M. and McGinnis, L.F. Research on warehouse design and performance evaluation: a comprehensive review. European Journal of Operational Research 203, pp. 539–549, 2010.

Staudt, F. H., Alpan, G., Di Mascolo, M. and Rodriguez, C. M. T. Warehouse performance measurement: a literature review. International Journal of Production Research, 53 (18), pp. 5524-5544, 2015

Staudt, F. H., Di Mascolo, M., Alpan, G. and Rodriguez, C.M.T. Warehouse performance measurement: classification and mathematical expressions of indicators. 5th International Conference Information Systems, Logistics and Supply Chain. August 24-27, 2014

Ene, S., and Öztürk, N. Storage location assignment and order picking optimization in the automotive industry. The international journal of advanced manufacturing technology, 60 (5-8), pp. 787-797, 2012.

Chen, G.Y.H. A new data structure of solution representation in hybrid ant colony optimization for large dynamic facility layout problems. International Journal of Production Economics, 142 (2), pp. 362-371, 2013.

Makaci, M., Reaidy, P., Evrard-Samuel, K., Botta-Genoulaz, V. and Monteiro, T., Pooled warehouse management: an empirical study.

Computers & Industrial Engineering, 112, pp. 526-536, 2017. DOI:

1016/j.cie.2017.03.005

Cómo citar

IEEE

[1]
J. A. Zapata-cortes, M. D. Arango-Serna, F. A. Ballesteros Riveros, y W. Adarme - Jaimes, «Storage allocation optimization model in a Colombian company», DYNA, vol. 86, n.º 209, pp. 255–260, abr. 2019.

ACM

[1]
Zapata-cortes, J.A., Arango-Serna, M.D., Ballesteros Riveros, F.A. y Adarme - Jaimes, W. 2019. Storage allocation optimization model in a Colombian company. DYNA. 86, 209 (abr. 2019), 255–260. DOI:https://doi.org/10.15446/dyna.v86n209.77527.

ACS

(1)
Zapata-cortes, J. A.; Arango-Serna, M. D.; Ballesteros Riveros, F. A.; Adarme - Jaimes, W. Storage allocation optimization model in a Colombian company. DYNA 2019, 86, 255-260.

APA

Zapata-cortes, J. A., Arango-Serna, M. D., Ballesteros Riveros, F. A. & Adarme - Jaimes, W. (2019). Storage allocation optimization model in a Colombian company. DYNA, 86(209), 255–260. https://doi.org/10.15446/dyna.v86n209.77527

ABNT

ZAPATA-CORTES, J. A.; ARANGO-SERNA, M. D.; BALLESTEROS RIVEROS, F. A.; ADARME - JAIMES, W. Storage allocation optimization model in a Colombian company. DYNA, [S. l.], v. 86, n. 209, p. 255–260, 2019. DOI: 10.15446/dyna.v86n209.77527. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/77527. Acesso em: 10 mar. 2026.

Chicago

Zapata-cortes, Julian Andres, Martin Dario Arango-Serna, Frank Alexander Ballesteros Riveros, y Wilson Adarme - Jaimes. 2019. «Storage allocation optimization model in a Colombian company». DYNA 86 (209):255-60. https://doi.org/10.15446/dyna.v86n209.77527.

Harvard

Zapata-cortes, J. A., Arango-Serna, M. D., Ballesteros Riveros, F. A. y Adarme - Jaimes, W. (2019) «Storage allocation optimization model in a Colombian company», DYNA, 86(209), pp. 255–260. doi: 10.15446/dyna.v86n209.77527.

MLA

Zapata-cortes, J. A., M. D. Arango-Serna, F. A. Ballesteros Riveros, y W. Adarme - Jaimes. «Storage allocation optimization model in a Colombian company». DYNA, vol. 86, n.º 209, abril de 2019, pp. 255-60, doi:10.15446/dyna.v86n209.77527.

Turabian

Zapata-cortes, Julian Andres, Martin Dario Arango-Serna, Frank Alexander Ballesteros Riveros, y Wilson Adarme - Jaimes. «Storage allocation optimization model in a Colombian company». DYNA 86, no. 209 (abril 1, 2019): 255–260. Accedido marzo 10, 2026. https://revistas.unal.edu.co/index.php/dyna/article/view/77527.

Vancouver

1.
Zapata-cortes JA, Arango-Serna MD, Ballesteros Riveros FA, Adarme - Jaimes W. Storage allocation optimization model in a Colombian company. DYNA [Internet]. 1 de abril de 2019 [citado 10 de marzo de 2026];86(209):255-60. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/77527

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CrossRef citations7

1. Julián Andrés Zapata-Cortes, Martín Darío Arango-Serna, Conrado Augusto Serna-Urán, Luisa Fernanda Ortíz-Vasquez. (2021). Techniques, Tools and Methodologies Applied to Quality Assurance in Manufacturing. , p.249. https://doi.org/10.1007/978-3-030-69314-5_11.

2. Jon Díaz, Haizea Rodriguez, Jenny Fajardo-Calderín, Ignacio Angulo, Enrique Onieva. (2024). A variable neighbourhood search for minimization of operation times through warehouse layout optimization. Logic Journal of the IGPL, 32(4), p.688. https://doi.org/10.1093/jigpal/jzae018.

3. Lucy Medrano-Zarazúa, Jania Astrid Saucedo-Martínez, Johanna Bolaños-Zuñiga. (2024). Computer Science and Engineering in Health Services. EAI/Springer Innovations in Communication and Computing. , p.15. https://doi.org/10.1007/978-3-031-34750-4_2.

4. Jon Díaz, Haizea Rodriguez, Jenny Fajardo-Calderín, Ignacio Angulo, Enrique Onieva. (2021). Hybrid Artificial Intelligent Systems. Lecture Notes in Computer Science. 12886, p.649. https://doi.org/10.1007/978-3-030-86271-8_54.

5. Pornchita Jawannatoom, Jirachai Buddhakulsomsiri, Pham Duc Tai, Kanokporn Pongjetanapong. (2026). Advances in Sustainable Mechanical Manufacturing. Mechanisms and Machine Science. 196, p.543. https://doi.org/10.1007/978-3-032-11791-5_50.

6. Mengru Shen, Nan Xu, Yi Zhou, Tianyang Li, Hongchun Zhang. (2023). Research on the design and network optimisation of the unified warehouse and distribution mode of express delivery in rural areas. International Conference on Mathematics and Machine Learning. , p.314. https://doi.org/10.1145/3653724.3653779.

7. Olga Baldeón-Mestanza, Anali De La Cruz-Puga, Brian Meneses-Claudio, Gustavo Zarate-Ruiz. (2023). Logistics management in a handicrafts store in the district of San Martin de Porres, 2023. Salud, Ciencia y Tecnología - Serie de Conferencias, 2, p.459. https://doi.org/10.56294/sctconf2023459.

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