Cold chain optimisation models: A systematic literature review

‘Cold chains’ are specialised supply chains that help preserve the quality of temperature-sensitive products, from procurement to fulfilment. They are vital for essential goods, including perishable food and medicine. Due to their refrigeration requirements, cold chains incur higher operational costs, energy consumption, and emissions than traditional supply chains. Additionally, they pose a risk of product decay or wastage. Despite the extensive research on cold chains, there is a need for a comprehensive review of optimisation models to consolidate existing knowledge and identify areas for further investigation. As such, cold chain optimisation models may deliver substantial commercial, environmental and social benefits, warranting a state-of-the-art overview. We employ pertinent keywords to retrieve articles published up to and including 2023 from Scopus, followed by content analysis to select 234 publications from 122 peer-reviewed journals. First, we synthesise optimisation models and solution methods addressing collaboration, strategic network design, storage design, tactical planning and distribution planning. Next, we distil nine components, often unique to cold chains, prevalent in these models. Then, we establish multiple research trends and gaps (related to stakeholders, methodology, technology and novel approaches) in this burgeoning field, which will interest people exploring optimisation opportunities in cold chains. Finally, we point to future research avenues for academics, provide actionable learnings for firms’ decision-makers, and outline governmental aspects for policymakers.

Authors

Publication Details

Journal
Computers & Industrial Engineering
Published
2025-02-18
DOI
https://doi.org/10.1016/j.cie.2025.110972
Citations
9
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
11.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cold chain optimisation models: A systematic literature review

David J. Robb, P. V. Krishna Iyer
9 citations
Computers & Industrial Engineering
Advanced Manufacturing and Logistics Optimization
11.18
article

Cold chain optimisation models: A systematic literature review

David J. Robb, P. V. Krishna Iyer
article en
9 citations

Abstract

‘Cold chains’ are specialised supply chains that help preserve the quality of temperature-sensitive products, from procurement to fulfilment. They are vital for essential goods, including perishable food and medicine. Due to their refrigeration requirements, cold chains incur higher operational costs, energy consumption, and emissions than traditional supply chains. Additionally, they pose a risk of product decay or wastage. Despite the extensive research on cold chains, there is a need for a comprehensive review of optimisation models to consolidate existing knowledge and identify areas for further investigation. As such, cold chain optimisation models may deliver substantial commercial, environmental and social benefits, warranting a state-of-the-art overview. We employ pertinent keywords to retrieve articles published up to and including 2023 from Scopus, followed by content analysis to select 234 publications from 122 peer-reviewed journals. First, we synthesise optimisation models and solution methods addressing collaboration, strategic network design, storage design, tactical planning and distribution planning. Next, we distil nine components, often unique to cold chains, prevalent in these models. Then, we establish multiple research trends and gaps (related to stakeholders, methodology, technology and novel approaches) in this burgeoning field, which will interest people exploring optimisation opportunities in cold chains. Finally, we point to future research avenues for academics, provide actionable learnings for firms’ decision-makers, and outline governmental aspects for policymakers.

Computers & Industrial EngineeringVol. 204
Openalex Percentile: Top 2%
Advanced Manufacturing and Logistics Optimization
11.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.