Abstract
Cold chains improve the safety and quality of perishable goods. Incorrect storage temperatures can cause textural degradation, discoloration, bruising, and microbiological growth. Cold chain logistics involves transporting temperature-controlled items like food, beverages, and biopharmaceuticals. In this paper we outline challenges and opportunities via a literature review of ‘cold chain’ research agenda with a specific focus on transportation and logistics. Previous attempts have been made in addressing the technological aspects of the cold chains, such as efficient energy system and sustainable refrigeration technologies in response to, for instance, delivering a low temperature-controlled products. Our proposed approach here is to set up the ground for logistics and transportation studies and aid the development of cold chain modelling and simulation. We introduce computer modelling framework, using capacity, roles, interaction and organization (CRIO) meta model to response to sustainable cold chain. A conceptual design of an agent-based model using Scottish salmon logistics network was introduced.
| Original language | English |
|---|---|
| Pages (from-to) | 481-494 |
| Number of pages | 14 |
| Journal | Transportation Research Procedia |
| Volume | 82 |
| Early online date | 9 Jan 2025 |
| DOIs | |
| Publication status | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
Keywords
- Cold chain
- Logistics
- Sustainability
- Agent based model
- UK
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