at Google ScholarTitle data
Cramer, Florian ; Fikar, Christian:
Optimizing Location Choices for Mobile Stores : Policies for Location Selection.
2024
Event: OR 2024 – International Conference on Operations Research 2024
, 03.-06. September 2024
, München.
(Conference item: Conference
,
Speech
)
Abstract in another language
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.
Further data
| Item Type: | Conference item (Speech) |
|---|---|
| Refereed: | No |
| Institutions of the University: | Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Food Supply Chain Management Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Food Supply Chain Management > Chair Food Supply Chain Management - Univ.-Prof. Dr. Christian Fikar Faculties Faculties > Faculty of Life Sciences: Food, Nutrition and Health |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 300 Social sciences > 330 Economics 300 Social sciences > 380 Commerce, communications, transportation |
| Date Deposited: | 02 Oct 2024 06:08 |
| Last Modified: | 10 Oct 2024 07:34 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/90509 |