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

Schwamberger, Jonas ; Fleischmann, Moritz ; Strauss, Arne

Document Type: Conference presentation
Year of publication: 2022
Conference title: OR 2022, Jahrestagung der Gesellschaft für Operations Research (GOR)
Location of the conference venue: Karlsruhe, Germany
Date of the conference: 06.-09.09.2022
Related URLs:
Publication language: English
Institution: Business School > ABWL u. Logistik (Fleischmann 2009-)
Subject: 330 Economics
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.

Metadata export


+ Search Authors in

+ Page Views

Hits per month over past year

Detailed information

You have found an error? Please let us know about your desired correction here: E-Mail

Actions (login required)

Show item Show item