Abstract
Fierce market competition forces enterprises to produce customized products with the cost and delivery time of mass production. A widely advocated approach is to use the concept of product family. Frequently, complex supply chains are managed under the combination of both make-to-stock and make-to-order strategies to reduce safety stock cost, while in the same or even shorter service time to the external customers. The question arising is at which stage to position safety stock effectively in the supply chain for a product family. After the analysis especially the benefit of positioning safety stock of a family of products as a whole instead of individually, this paper models the safety stock placement of a product family supply chain as an optimization problem, which can be solved conveniently by a specially designed genetic algorithm.
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References
Axsater, S.: Continuous review policies for multi-level inventory systems with stochastic demand. In: Graves, S., Rinnooy Kan, A., Zipkin, P. (eds.) Logistics of Production and Inventory. Elsevier Science Press, North-Holland (1993)
Deb, K., Goyal, M.: Optimizing Engineering Designs Using a Combined Genetic Search. In: Lansing, E. (ed.) Proceeding of the Sixth International Conference on Genetic Algorithms, pp. 521–528. Morgan Kauffman Publishers, San Mateo (1995)
Deb, K., Agrawal, R.B.: Simulated Binary Crossover for Continuous Search Space. Complex System 9, 115–148 (1995)
Diks, E.B., de Kok, A.G., Lagodimos, A.G.: Multi-echelon systems: A service measure perspective. European Journal of Operations Research 95, 241–263 (1996)
Du, X., Jiao, J., Tseng, M.M.: Graph grammar based product family modelling. Concurrent Engineering: Research and Application 10(2), 113–128 (2002)
Graves, S.C., Willems, S.P.: Optimizing strategic safety stock placement in supply chains. Manufacturing & Service Operations Management 2(1), 68–83 (2000)
Ettl, M., Feigin, G.E., Lin, G.Y., Yao, D.D.: A supply network model with base-stock control and service requirements. Operations Research 48, 216–232 (2000)
Hegge, H.M.H., Wortmann, J.C.: Generic bill-of-material: A new product model. International Journal of Production Economies 23(1-3), 117–128 (1991)
Huang, G.Q., Qu, T.: Extending Analytical Target Cascading for Optimal Configuration of Supply Chains with Alternative Autonomous Suppliers. International Journal of Production Economics 115, 39–54 (2008)
Jiao, J., Tseng, M.M.: A methodology of developing product family architecture for mass customisation. Journal of Intelligent Manufacturing 10(1), 3–20 (1999)
Lee, H.L., Billington, C.: Material management in decentralized supply chains. Operations Research 41, 835–847 (1993)
Li, L., Huang, G.Q., Newman, S.T.: A cooperative coevolutionary algorithm for design of platform-based mass customized products. Journal of Intelligent Manufacturing 19, 507–519 (2008)
Schulze, L., Gerasch, M., Mansky, Li, L.: Logistics management of late product individualization, application in the automotive industry. International Journal of Logistics, Economics and Globalisation 1(3), 330–342 (2008)
Schulze, L., Li, L.: A logistics network model for postponement supply chain. International Journal of Applied Mathematics 39(2) (2009) Paper No. IJAM_39_2_03
Meyer, M.H.: Revitalize your product lines through continuous platform renewal. Research Technology Management 40(2), 17–28 (1997)
Simchi-Levi, D., Zhao, Y.: Safety stock positioning in supply chains with stochastic lead times. Manufacturing & Service Operations Management 7(4), 295–318 (2005)
Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E.: Designing and Managing the Supply Chain Concepts, Strategies, and Case Studies, 3rd edn., pp. 179–203. McGraw-Hill/Irwin, New York (2006)
van Houtum, G.J., Inderfurth, K., Zijm, W.H.M.: Materials coordination in stochastic multi-echelon systems. European Journal of Operations Research 95, 1–23 (1996)
Zipkin, P.: Foundations of Inventory Management. McGraw-Hill, Boston (2000)
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Li, L., Schulze, L. (2010). Analysis and Modelling of Safety Stock Positioning for Product Family Supply Chains. In: Huang, G.Q., Mak, K.L., Maropoulos, P.G. (eds) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10430-5_101
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DOI: https://doi.org/10.1007/978-3-642-10430-5_101
Publisher Name: Springer, Berlin, Heidelberg
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