Cold chain for sustainable infrastructure planning

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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 languageEnglish
Pages (from-to)481-494
Number of pages14
JournalTransportation Research Procedia
Volume82
Early online date9 Jan 2025
DOIs
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  3. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  4. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  5. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  6. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  7. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Cold chain
  • Logistics
  • Sustainability
  • Agent based model
  • UK

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