674. Designing Efficient Distribution Networks for Mixed-Cropping Systems
Invited abstract in session WA-58: Food delivery, stream Vehicle Routing and Logistics.
Wednesday, 8:30-10:00Room: Liberty 1.13
Authors (first author is the speaker)
| 1. | Tugce Canbilen Suticen
|
| IE&IS, Eindhoven University of Technology | |
| 2. | Argyris Kanellopoulos
|
| Operations Research and Logistics, Wageningen University & Research | |
| 3. | Sonja Rohmer
|
| Department of Logistics and Operations Management, HEC Montreal | |
| 4. | Tom van Woensel
|
| Technische Universiteit Eindhoven |
Abstract
The distribution of perishable products poses challenges in supply chain design due to limited shelf lives, sensitivity to storage conditions, and the need for coordinated transportation, storage, and processing. These complexities are intensified in agricultural systems like mixed cropping, where diverse crops are grown side-by-side, requiring specialized handling and storage. This paper presents a multi-commodity, multi-period, multi-echelon network design model for perishable products inspired by the requirements of mixed-cropping systems. Our mixed-integer linear programming model incorporates key supply chain decisions, including sales channel selection, facility location, transportation, inventory management, and processing scheduling, providing a comprehensive tool for optimizing the distribution of diverse, perishable products. This research contributes to the literature by offering a holistic network design model for perishable products, enabling the assessment of new supply chain configurations such as short food supply chains. New constraints inspired by real-world biological limitations are introduced to the problem. We demonstrate the importance of addressing these integrated decisions to achieve efficient food distribution through detailed computational analysis.
Keywords
- Network Design
- Programming, Mixed-Integer
- OR in Sustainability
Status: accepted
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