Summary
Common parts in different product variants can lead to decreased procurement costs if recovery strategies are applied. Thereby new parts are substituted by recovered ones. Since long- or mid-term supplier contracts for these new parts exist demand as well as return forecasts are essentially to negotiate contracts. In this article forecasting issues are addressed and a planning procedure to calculate the need of new parts is given.
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References
Inderfurth K, Mukherjee K (2008) Decision support for spare parts acquisition in post product life cycles. CEJOR 16: 17-42
Kelle P, Silver EA (1989) Forecasting the returns of reusable containers. Journal of Operations Management 8 (1): 17-35
Krupp JA (1992) Core obsolescence forecasting for remanufacturing. Production and inventory management journal 33 (2): 12-17
Toktay B (2003) Forecasting Product Returns. In: Guide VDR, Van Wassenhove LN (eds) Business Aspects of Closed-loop Supply Chains. Carnegie Mellon University Press
Toktay B, van der Laan EA, de Brito MP (2003) Managing Product Returns: The Role of Forecasting. ERIM Report Series Reference No. ERS-2003-023-LIS
Walther G, Steinborn J, Spengler T (2008) Variantenvielfalt und Lebenszyklusbetrachtungen im Remanufacturing. To be published in: Tagungsband des Workshops der GOR-Arbeitsgruppen Entscheidungstheorie undpraxis und OR im Umweltschutz, Shaker
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© 2009 Springer-Verlag Berlin Heidelberg
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Steinborn, J., Walther, G., Spengler, T.S. (2009). Production Planning with Common Parts in Closed-Loop Supply Chains. In: Fleischmann, B., Borgwardt, KH., Klein, R., Tuma, A. (eds) Operations Research Proceedings 2008., vol 2008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00142-0_10
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DOI: https://doi.org/10.1007/978-3-642-00142-0_10
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Online ISBN: 978-3-642-00142-0
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