Estimation of a consider-then-choose customer choice model for tractable assortment optimization

Dokumenttyp:	Präsentation auf Konferenz
Erscheinungsjahr:	2022
Veranstaltungstitel:	Euro 2022
Veranstaltungsort:	Espoo, Finland
Veranstaltungsdatum:	03.-06.06.2022
Verwandte URLs:	https://euro2022espoo.com/conference-pro...
Sprache der Veröffentlichung:	Englisch
Einrichtung:	Fakultät für Betriebswirtschaftslehre > ABWL u. Logistik (Fleischmann 2009-)
Fachgebiet:	330 Wirtschaft
Abstract:	In attended home delivery services, the time slot offering problem is of high importance, as it significantly impacts the retailer’s efficiency in providing this service. Customer choice behavior is a crucial factor to be considered in this planning problem. To facilitate this task, customer choice models have been developed that reflect the customer decision-making process. A particularly realistic choice model is the consider-then-choose model. This non-parametric customer choice model consists of two steps: in a first step, all eligible time slots are identified and in a second step, the considered time slots are ranked and the highest-ranked time slot is chosen. In this study, we use the consider-then-choose model to solve the time slot assortment problem. We propose an approach to estimate this choice model from historical transaction data and incorporate a structure that can be exploited in the online time slot offering decision. We evaluate our estimation and optimization approach in a realistic numerical study.

Dieser Eintrag ist Teil der Universitätsbibliographie.

BASE: Schwamberger, Jonas ; Fleischmann, Moritz ; Strauss, Arne

Google Scholar: Schwamberger, Jonas ; Fleischmann, Moritz ; Strauss, Arne

ORCID: Schwamberger, Jonas

, Fleischmann, Moritz and Strauss, Arne

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