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Simulation Model to Assess the Impact of Demand Disruptions in Short Food Supply Chains

Title data

Saliju, Suad ; Fikar, Christian:
Simulation Model to Assess the Impact of Demand Disruptions in Short Food Supply Chains.
2022
Event: International Conference on Operations Research - OR 2022 , 06.-09.09.2022 , Karlsruhe, Germany.
(Conference item: Conference , Speech )

Abstract in another language

Research in short food supply chains has increased notably in recent years, mainly due to their likely role of achieving a more sustainable and resilient food system. Meanwhile, an ever-increasing number of disruptions are severely affecting the functioning of food supply chains. Considering the perishable nature of various food produces, it is of great importance to act rapidly in case of a sudden disruption to minimize any economic impact and food losses. To this end, a hybrid simulation model is developed, which enables one a cost-effective approach to address resilience in the context of short food supply chains. Resilience is addressed in the model by evaluating the degree of using different distribution channels based on post-harvest costs and food losses estimated by integrating food quality functions. The developed simulation model is demonstrated on a regional asparagus supply chain in Franconia, Germany. Results show the relevance of enabling alternative distribution channels to facilitate both resilience and reduction in food losses but also that the timing of the disruption is of importance.

Further data

Item Type: Conference item (Speech)
Refereed: No
Keywords: Simulation; Supply Chain Management; OR in Agriculture
Institutions of the University: 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
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: 13 Sep 2022 06:44
Last Modified: 13 Sep 2022 06:44
URI: https://eref.uni-bayreuth.de/id/eprint/71802