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Simulating the Viability of Crowd Logistics in Short Food Supply Chains

Title data

Cramer, Florian ; Fikar, Christian:
Simulating the Viability of Crowd Logistics in Short Food Supply Chains.
In: Breitenecker, Felix ; Deatcu, Christina ; Durak, Umut ; Körner, Andreas ; Pawletta, Thorsten (ed.): ASIM SST 2022 : Proceedings Kurzbeiträge. - Wien : ARGESIM , 2022 . - pp. 17-20 . - (ARGESIM Report ; 19 ) (ASIM Mitteilung ; 179)
ISBN 978-3-901608-96-4
DOI: https://doi.org/10.11128/arep.19

Official URL: Volltext

Abstract in another language

This work presents a simulation model to evaluate the viability of crowd logistics concepts in context of short food supply chains (SFSC). Many local agrifood supply chains, especially those of smallholder farmers, lack efficient and sustainable means for physical distribution. By employing a hybrid approach, based on agent-based and discrete event simulation modelling, a decision support system is developed to help decision makers to estimate the effects of crowd logistics on farmers’ market reach, vehicle kilometres travelled, and food quality in SFSC. Preliminary results show that crowd logistics can increase market reach while only slightly increasing vehicle kilometres travelled, highlighting that crowd logistics can be a viable option for last-mile distribution in SFSC.

Further data

Item Type: Article in a book
Refereed: No
Keywords: Short Food Supply Chains; Alternative Food Networks; Hybrid Simulation; Crowd Logistics
Institutions of the University: Faculties > Faculty of Life Sciences: Food, Nutrition and Health
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
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 050 General serials and their indexes
300 Social sciences > 380 Commerce, communications, transportation
Date Deposited: 25 Jul 2022 09:02
Last Modified: 25 Jul 2022 09:02
URI: https://eref.uni-bayreuth.de/id/eprint/70720