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Estimation of a consider-then-choose customer
choice model for tractable assortment optimization
Schwamberger, Jonas
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Fleischmann, Moritz
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Strauss, Arne
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Dokumenttyp:
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Präsentation auf Konferenz
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Erscheinungsjahr:
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2022
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Veranstaltungstitel:
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OR 2022, Jahrestagung der Gesellschaft für Operations Research (GOR)
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Veranstaltungsort:
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Karlsruhe, Germany
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Veranstaltungsdatum:
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06.-09.09.2022
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Verwandte URLs:
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Sprache der Veröffentlichung:
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Englisch
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Einrichtung:
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Fakultät für Betriebswirtschaftslehre > ABWL u. Logistik (Fleischmann 2009-)
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Fachgebiet:
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330 Wirtschaft
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Abstract:
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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.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 Suche Autoren in
BASE:
Schwamberger, Jonas
;
Fleischmann, Moritz
;
Strauss, Arne
Google Scholar:
Schwamberger, Jonas
;
Fleischmann, Moritz
;
Strauss, Arne
ORCID:
Schwamberger, Jonas  ORCID: https://orcid.org/0000-0002-3547-0315, Fleischmann, Moritz and Strauss, Arne
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