Abstract
Product bundling describes an interdisciplinary problem of great importance. It can be used to tailor offers to the demand of consumer segments (marketing), it helps to tackle variety reduction management issues (production), it is based on consumer preferences (data analysis), and it needs combinatorial optimization as solution tool (operations research).
In this paper a new profit-maximizing mixed integer product bundling formulation is presented that works well for modest problem instances. Additionally, a heuristic approach is derived that copes with the situation in a Greedy-like manner for larger problem instances by providing a sequence of monotone increasing lower bounds for the objective function of our product bundling methodology.
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© 2004 Springer-Verlag Berlin Heidelberg
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Stauß, B., Gaul, W. (2004). Product Bundling as a Marketing Application. In: Ahr, D., Fahrion, R., Oswald, M., Reinelt, G. (eds) Operations Research Proceedings 2003. Operations Research Proceedings, vol 2003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17022-5_29
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DOI: https://doi.org/10.1007/978-3-642-17022-5_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21445-8
Online ISBN: 978-3-642-17022-5
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