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
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 Faculties |
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 |