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Agent-based decision support to integrate demand and shelf life-based inventory management in grocery operations

Title data

Fikar, Christian ; Mild, Andreas ; Reiner, Gerald ; Waitz, Martin:
Agent-based decision support to integrate demand and shelf life-based inventory management in grocery operations.
2022
Event: 32nd EURO Conference , 03.-06. July 2022 , Espoo, Finland.
(Conference item: Conference , Speech )

Official URL: Volltext

Abstract in another language

Customers’ picking behavior is a major cause for food waste. In most cases, items with long remaining shelf lives are preferred, resulting in various challenges for grocery providers. This work develops an agent-based decision support system to investigate this point within an
omni-channel context. Customers can either choose to buy food in a store or get it delivered to their premises, whereas in the latter case, the delivered quality of the items is unknown. Based on collected preference data of more than 450 customers for fresh milk, different inventory and pricing decisions of a grocery provider are simulated to study effects on food waste, customer utility and revenue. Results highlight the immense potential of both integrating shelf live and demand data in inventory management systems to facilitate more sustainable grocery operations in the future.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Institutions of the University: Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Food Supply Chain Management
Result of work at the UBT: Yes
DDC Subjects: 300 Social sciences > 330 Economics
Date Deposited: 19 Jul 2022 08:23
Last Modified: 19 Jul 2022 08:26
URI: https://eref.uni-bayreuth.de/id/eprint/70620