Capacitated Price Bundling for Markets with Discrete Customer Segments and Stochastic Willingness to Pay: ABasic Decision Model

Ralf Gössinger () and Jacqueline Wand
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Ralf Gössinger: University of Dortmund
Jacqueline Wand: University of Dortmund

A chapter in Operations Research Proceedings 2019, 2020, pp 617-623 from Springer

Abstract: Abstract Current literature on price bundling focuses on the situation with limited capacity. This paper extends this research by considering multiple discrete customer segments each with individual size and buying behavior represented by distributed willingness to pay and max-surplus rule. We develop a stochastic non-linear programming model that can be solved by standard NLP optimization software. Aiming to examine the model behavior, we conduct a full-factorial numerical study and analyze the impact of capacity limitations and number of customer segments on optimal solutions.

Keywords: Price bundling; Capacity; Stochastic programming (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-48439-2_75

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DOI: 10.1007/978-3-030-48439-2_75

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