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1689. Simulation Optimization-based Decision Support System to Enable More Local Food in the Gastronomy Sector
Invited abstract in session TD-24: Sustainable Food and Health Care Logistics, stream Sustainable Supply Chains.
Tuesday, 14:30-16:00Room: 83 (building: 116)
Authors (first author is the speaker)
| 1. | Suad Saliju
|
| Chair of Food Supply Chain Management, University of Bayreuth | |
| 2. | Christian Fikar
|
| Chair of Food Supply Chain Management, University of Bayreuth | |
| 3. | Christine Mendoza Pardo
|
| Chair of Food Supply Chain Management, University of Bayreuth | |
| 4. | Claudia Paciarotti
|
| DIISM, Università Politecnica delle Marche |
Abstract
Recent calls for more sustainable practices in the food industry, eating healthier, and the desire to support regional farmers and rural communities, have seen an increase in the demand for local food. Particularly in the gastronomy sector, many restaurants have started offering more local food as a result of such trends. Despite various potential benefits of offering local food, real-world implementation settings often fail due to challenges in logistics operations. To enable efficient and sustainable logistics operations in the sale of local food in the gastronomy sector, this work investigates innovative and sustainable logistics concepts through the development of a simulation and optimization-based decision support system (DSS). Using the DSS, various logistics concepts are implemented and tested on two pilot areas in Bavaria, Germany and one pilot area in Marche, Italy. Preliminary results highlight potential benefits translated into shorter distances, better vehicle utilization, improved food quality, and lower lead times.
Keywords
- OR in Agriculture
- Decision Support Systems
- Logistics
Status: accepted
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