Optimizing product lines and assortments

R.P. Rooderkerk

Research output: ThesisDoctoral Thesis

1112 Downloads (Pure)

Abstract

How should manufacturers and retailers optimize the sets of products they offer? Increasing product proliferation forces firms to solve these complex optimization problems ever more frequently. While the existing literature has made some headway in solving these problems, the three essays in this dissertation advance current knowledge on several important dimensions. The first essay augments the standard product line design problem by incorporating insights from behavioral decision making to account for the influence of context effects on consumer choices. The second essay develops a parsimonious yet flexible sales model and an efficient approach to optimize the retail assortment optimization problem based on store-level scanner data. The third essay studies the influence of parameter uncertainty on the optimal assortment composition. By integrating techniques and insights from consumer behavior, marketing, statistics, and operations research, the three essays in this dissertation address the product line and assortment optimization problems that are of central importance to marketing.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Tilburg University
Supervisors/Advisors
  • van Heerde, H.J., Promotor
  • Bijmolt, T.H.A., Promotor
Award date15 Jun 2007
Place of PublicationTilburg
Publisher
Print ISBNs9789056681920
Publication statusPublished - 2007

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