NDLI: Analysis of dynamic pricing scenarios for multiple-generation product lines

Content Provider	Springer Nature Link
Author	Kilicay Ergin, Nil Lin, Chun yu Okudan, Gul E.
Copyright Year	2015
Abstract	In technology-intensive markets, it is a common strategy for companies to develop long-term multiple generation product lines instead of releasing consecutive single products. Even though this strategy is more profitable than sequentially introducing single product generations, it can also result in inter-product line cannibalization. Cannibalization of multiple-generation product lines is a complex problem that needs to be taken into account at the early product line planning stage in order to sustain long-term profitability. In this paper, we propose an agent-based model that can simulate the potential cannibalization scenarios within a multiple-generation product line. We view a multiple-generation product line (MGPL) as complex adaptive system where each product generation in the MGPL adjusts its sales price over time based on the shifts in the market demand. The proposed model provides insights into how various pricing strategies impact the overall lifecycle profitability of MGPL and can be used to assist companies in developing appropriate dynamic pricing strategies at the early product line planning stages.
Starting Page	107
Ending Page	129
Page Count	23
File Format	PDF
ISSN	10043756
Journal	Journal of Systems Science and Systems Engineering
Volume Number	24
Issue Number	1
e-ISSN	18619576
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-02-06
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multiple-generation product lines cannibalization agent-based modeling dynamic pricing scenarios Complexity Game Theory/Mathematical Methods Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems

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