Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1336
Title: A profit maximising product line optimisation model under monopolistic competition
Authors: Kumar, Soumojit
Chatterjee, Ashis Kumar
Keywords: Heuristics
Multi-attribute
Product design
Quality type attribute
Issue Date: 2015
Publisher: SCOPUS
International Journal of Production Research
Taylor and Francis Ltd.
Series/Report no.: 53(5)
Abstract: Existing research on product line optimisation have focused mainly on designing a product line based on the trade-offs between sellers' and buyers' utility, without any explicit consideration of the underlying market structure. A few studies can be found that consider the monopolists optimal product line offering. In this study, we examine the optimal product line decision of an entrant firm under monopolistic competitive markets. Specifically, we develop a mathematical programming formulation of an entrant firm's problem of deciding on the market segments to enter and the corresponding product designs to offer, to maximise its profit. A heuristic has been presented for solving the resulting mixed integer non-linear programming problem. The specifications of the problem increase exponentially with the size of the problem and as such, commercial solvers are not useful for solving a generalised instance. A small example has been presented and solved using both the heuristic and the ILOG CPLEX 10.2. Both result in identical solutions. We attempt an explanation on why the heuristic gives an optimal solution. � 2014 Taylor & Francis.
Description: Kumar, Soumojit, Operations Management, IIM Calcutta, Joka, India; Chatterjee, Ashis Kumar, Operations Management, IIM Calcutta, Joka, India
ISSN/ISBN - 00207543
pp.1584-1595
DOI - 10.1080/00207543.2014.957874
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922032739&doi=10.1080%2f00207543.2014.957874&partnerID=40&md5=55415e07946be2fc55050c67dc8e978e
https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1336
Appears in Collections:Operations Management

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