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2984. Technologies Compatibility in a Capacitated Multi-Depot Routing distribution system for Food Sustainable Supply Chain
Invited abstract in session MC-23: Sustainable food supply chains, stream Circular Economy, Remanufacturing and Recycling .
Monday, 12:30-14:00Room: 82 (building: 116)
Authors (first author is the speaker)
| 1. | Seyed Mojtaba Sajadi
|
| Operations and Information Management, Aston University | |
| 2. | Fatemeh Khezerlouye Aghdam
|
| Department of Industrial Engineering, Alzahra University | |
| 3. | Mahdi Bashiri
|
| Coventry University |
Abstract
Food supply chains play a significant role in carbon emissions, and adopting emerging Industry 4.0 technologies can help mitigate this issue. The study investigates the compatibility of digital technologies at various echelons of the supply chain. Among the components of food supply chains, logistics are also particularly emissions-intensive and therefore require careful attention. This study presents a mixed integer linear programming mathematical model for selecting compatible technologies in food supply chains under a capacitated multi-depot vehicle routing distribution to minimise the supply chain's carbon footprint and to align with global carbon neutrality targets. To address the complexities of real-world scenarios, a matheuristic algorithm is developed empowered by a Reinforcement Learning (RL) approach. The findings indicate that employing suitable technologies with optimal compatibility levels and implementing an optimum routing will lead to achieving a net-zero supply chain and reducing overall costs. The results underscore the importance of both technology selection and compatibility in attaining sustainability objectives.
Keywords
- Optimization Modeling
- Warehouse Design, Planning, and Control
- Multi-Objective Decision Making
Status: accepted
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