Titelangaben
Cramer, Florian ; Fikar, Christian:
Optimizing Location Choices for Mobile Stores : Policies for Location Selection.
2024
Veranstaltung: OR 2024 – International Conference on Operations Research 2024
, 03.-06. September 2024
, München.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung
,
Vortrag
)
Abstract
In recent years, customers have been rediscovering local markets while firms seek ways to shorten supply chains and strengthen local industries. With increasing interest in local and regional produce, mobile stores, known as pedlars, are gaining attention as a channel for supporting local entrepreneurs. This study addresses the challenge of selecting optimal locations for mobile stores when customer demand, availability, and spending at locations are uncertain. We evaluate various location selection policies using agent-based simulation and compare them to a reinforcement learning approach. To this end, we model and develop policies based on practitioner interviews. Using agent-based simulation allows us to model and simulate seemingly random differences between locations as described by practitioners, thus providing decision support.
Weitere Angaben
Publikationsform: | Veranstaltungsbeitrag (Vortrag) |
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Begutachteter Beitrag: | Nein |
Institutionen der Universität: | Fakultäten > Fakultät für Lebenswissenschaften: Lebensmittel, Ernährung und Gesundheit > Lehrstuhl Food Supply Chain Management Fakultäten > Fakultät für Lebenswissenschaften: Lebensmittel, Ernährung und Gesundheit > Lehrstuhl Food Supply Chain Management > Lehrstuhl Food Supply Chain Management - Univ.-Prof. Dr. Christian Fikar Fakultäten Fakultäten > Fakultät für Lebenswissenschaften: Lebensmittel, Ernährung und Gesundheit |
Titel an der UBT entstanden: | Ja |
Themengebiete aus DDC: | 300 Sozialwissenschaften > 330 Wirtschaft 300 Sozialwissenschaften > 380 Handel, Kommunikation, Verkehr |
Eingestellt am: | 02 Okt 2024 06:08 |
Letzte Änderung: | 10 Okt 2024 07:34 |
URI: | https://eref.uni-bayreuth.de/id/eprint/90509 |