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Journal of applied research and technology

versión On-line ISSN 2448-6736versión impresa ISSN 1665-6423

J. appl. res. technol vol.12 no.3 Ciudad de México jun. 2014

 

Placing Safety Stock in Logistic Networks under Guaranteed-Service Time Inventory Models: An Application to the Automotive Industry

 

L. A. Moncayo-Martínez*1,2, E. O. Reséndiz-Flores2, D. Mercado2 and C. Sánchez-Ramírez3

 

1 Department of Industrial and Operation Engineering, Instituto Tecnológico Autónomo de México (ITAM) México, D. F., México. *luis.moncayo@itam.mx

2 Division of Postgraduate Studies and Research, The Technological Institute of Saltillo Saltillo, Coahuila, México.

3 División de Ciencias e Ingenieria, Department of Industrial Engineering & Manufacturing Science, Orizaba Institute of Technology Orizaba, Veracruz, México.

 

ABSTRACT

The aim of this paper is to solve the problem of placing safety stock over a Logistic Network (LN) that is represented by a Generic Bill of Materials (GBOM). Thus the LN encompasses supplying, assembling, and delivering stages. We describe, in detail, the recursive algorithm based on Dynamic Programming (DP) to solve the placing safety stock problem under guaranteed-service time models. We also develop a java-based application (JbA) that both models the LN and runs the recursive DP algorithm. We solved a real case of a company that manufactures fixed brake and clutch pedal modules of cars' brake system. After running JbA, the levels of inventory decreased by zero in 55 out of 65 stages.

Keywords: Safety Stock, Guaranteed-service time, Dynamic Programming, Automotive Industry.

 

RESUMEN

El objetivo de este artículo es resolver el problema de colocación inventario en una Red Logística (LN) que es representada por una Lista de Materiales Genérica (GBOM), de manera que la LN tiene etapas de suministro, ensamble y entrega. Describimos, a detalle, el algoritmo recursivo de Programación Dinámica (DP) para resolver el problema de colocación de inventario en modelos de servicio garantizado. También programamos una aplicación en java (JbA) que modela la LN y ejecuta las operaciones recursivas del algoritmo de DP. Resolvimos un caso real de una empresa que manufactura módulos de frenos y pedales del clutch del sistema de frenos utilizados en los autos. Los resultados muestran que los niveles de inventarios se reducen a cero en 55 de 65 etapas después de ejecutar nuestra JbA.

 

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References

[1] Lee, H., Padmanabhan, V.S. Whang, S., Information distortion in a supply chain: the bullwhip effect, Management Science, Vol. 43, No. 4, 1997, pp. 546-558.         [ Links ]

[2] Graves, S.S. Willems, S., Optimizing strategic safety stock placement in supply chains, Manufacturing S Service Operations Management, Vol. 2, No. 1, 2000, pp. 68-83.         [ Links ]

[3] Snyder, L.V.S. Shen, Z.J.M., Fundamentals of Supply Chain Theory. Wiley, 2011, pp. 367.         [ Links ]

[4] Glasserman, P. S Tayur, S., Sensitivity analysis for base-stock levels in multi-echelon production-inventory systems, Management Science, Vol. 41, 1995, pp. 263-281.         [ Links ]

[5] Levner, E., Perlman, Y., S Cheng, T.C.E.S. Levner, I., A network approach to modeling the multi-echelon spare-part inventory system with backorders and interval-valued demand, International Journal of Production Economics, vol. 132, no. 1, 2011, pp. 43-51.         [ Links ]

[6] Simpson, K., In-process inventories, Operations Research, Vol. 6, No. 6, 1958, pp. 863-873.         [ Links ]

[7] Graves, S., Safety stocks in manufacturing systems, Journal of Manufacturing and Operations Management, Vol. 1, No. 1, 1988, pp. 67-101.         [ Links ]

[8] Inderfurth, K., Safety stock optimization in multi-stage inventory systems, International Journal of Production Economics, Vol. 24, No. 1, 1991, pp. 103-113.         [ Links ]

[9] Inderfurth, K.S. Minner, S., Safety stocks in multistage inventory systems under different service measures, European Journal of Operational Research, Vol. 106, No. 1, pp. 57-73.         [ Links ]

[10] Graves, S.S. Willems, S., Strategic safety stock placement in supply chains, in Proceedings of 1996 MSOM, 1996, pp. 299-304, Dartmouth, Hannover, USA, July.         [ Links ]

[11] Graves, S.S. Willems, S., Supply chain design: safety stock placement and supply chain configuration, in Handbooks in Operations Research and Management Science, A.G. de Kok and S. Graves Editors, Elsevier, 2003, pp. 95-132.         [ Links ]

[12] Lesnaia, E., Vasilescu, I., S Graves, S., The complexity of safety stock placement in general-network supply chains, Innovation in Manufacturing Systems and Technology (IMST), 2005.         [ Links ]

[13] Lesnaia, E., Optimizing safety stock placement in general network supply chains, PhD thesis, MIT, 2004.         [ Links ]

[14] Magnanti, T., Shen, Z., Shu, J., Simchi-Levi, D. & Teo, C., Inventory placement in acyclic supply chain networks, Operations Research Letters, Vol. 34, No. 2, 2006, pp. 228-238.         [ Links ]

[15] Graves S. & Lesnaia, E., Optimizing safety stock placement in general network supply chains, in Proceedings of Singapore-MIT Alliance Annual Symposium Conference, 2004, pp. 7-13, 2004, Singapore.         [ Links ]

[16] Shu J. &. Karimi, I., Efficient heuristics for inventory placement in acyclic net319 works, Computers & Operations Research, Vol. 36, No. 11, 2009, pp. 2899-2904.         [ Links ]

[17] Huang, G., Zhang, X. & Liang, L., Towards integrated optimal configuration of platform products, manufacturing processes, and supply chains, Journal of Operations Management, Vol. 23, No. 3-4, 2005, pp. 267-290.         [ Links ]

[18] Schoenmeyr, T. & Graves, S., Strategic safety stocks in supply chains with capacity constraints, tech. rep., Massachusetts Institute of Technology, 2009.         [ Links ]

[19] Graves, S. & Willems, S., Optimizing the supply chain configuration for new products, Management Science, Vol. 51, No. 8, 2005, pp. 1165-1180.         [ Links ]

[20] Graves, S. & Willems, S., Strategic inventory placement in supply chains: Nonstationary demand, Manufacturing & Service Operations Management, Vol. 10, No. 2, 2008, pp. 278-287.         [ Links ]

[21] Humair, S., Ruark, J., Tomlin, B. & Willems, S., Incorporating stochastic lead times into the guaranteed service model of safety stock optimization, 2012.         [ Links ]

[22] Hegge, H. & Wortmann, J., Generic bill-of-material: a new product model, International Journal of Production Economics, Vol. 23, No. 1-3, 1991, pp. 117-128.         [ Links ]

[23] Elizondo-Cortés, M. & Aceves-García, R., Strategy of solution for the inventory routing problem based on separable cross decomposition, Journal of Applied Research and Technology, Vol. 3, No. 2, 2005, pp. 139-149.         [ Links ]

[24] Cedillo-Campos, M. & Sánchez-Ramírez, R., Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach, Journal of Applied Research and Technology, Vol. 11, No 3, 2013, pp. 338-347.         [ Links ]

[25] Fathollah, M., Taham, F. & Ashouri, A., Developing a Conceptual Framework for Simulation Analysis in a Supply Chain Based on Common Platform (SCBCP), Journal of Applied Research and Technology, Vol. 7, No 2, pp. 163-184.         [ Links ]

[26] González-Ramírez, R.G., Smith, N.R., Askin, R.G., Miranda, Pablo A. & Sánchez, J.M., A Hybrid Metaheuristic Approach to Optimize the Districting Design of a Parcel Company, Journal of Applied Research and Technology, Vol. 9, No 1, 2011, pp. 19-35.         [ Links ]

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