Summary
A challenge of make-to-order (MTO) manufacturing lies in maximizing the total contribution margin by compiling the optimal order portfolio, given a fixed capacity. Particularly, bid-price based heuristics are successfully applied. The objective of this paper is to provide an extension to traditional bid-price based revenue management in MTO. Based on an analysis of the pros and cons of anticipative and reactive approaches, a hybrid approach combining both elements is proposed.
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References
Klein R (2007) Network capacity control using self-adjusting bid-prices. OR Spectrum 29:pp.39–60
Spengler T, Rehkopf S (2005) Revenue Management Konzepte zur Entscheidungsunterstützung bei der Annahme von Kundenaufträgen. ZFP 16:pp.123–146
Spengler T, Rehkopf S, Volling T (2007) Revenue management in make-to-order manufacturing: an application to the iron and steel industry. OR Spectrum 29:pp.157–171
Spengler T, Volling T, Hintsches A (2008) Integration von Revenue Management Konzepten in die Auftragsannahme. ZFB Special Issue 4/2008: pp. 125–151
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© 2009 Springer-Verlag Berlin Heidelberg
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Spengler, T., Volling, T., Wittek, K., Akyol, D.E. (2009). Dynamic Bid-Price Policies for Make-to-Order Revenue Management. 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_17
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DOI: https://doi.org/10.1007/978-3-642-00142-0_17
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Print ISBN: 978-3-642-00141-3
Online ISBN: 978-3-642-00142-0
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