Fruits and vegetables are perishable agricultural produce that are in high demand across the world as sources of food for daily and industrial needs. There has been a vast interest in perishable fresh produce as they have a short shelf life and their freshness needs to be maintained. There have been studies concerning the post-harvest supply chain, fresh produce’s shelf-life maximization, preserving freshness and quality, and reducing spoilage of these fresh produce. However, studies on the development of mathematical programming (MP) models for fresh produce freshness and shelf-life optimization are still limited. This paper presents a review of past studies from journals and proceeding papers between 2018 and 2023 using a thematic review approach on MP models of fresh produce supply chain. These papers were analyzed using thematic analysis ATLAS.ti.22 software by using keyword search and filtering criteria from Scopus and the Web of Science (WOS) databases. After the exclusion and inclusion processes, only 25 articles were selected as final articles to be reviewed. The thematic review was organized according to five main themes: distribution management, inventory management, logistics management, production management, and sustainability. The report from code-to-document in ATLAS.ti 22 identified the three main criteria: model’s objective(s), type of MP model, and solution method, which were highlighted in the literature. Findings presented in this paper provide relevant insights for the establishment and applications of MP models in studies on fresh produce’s shelf-life and freshness maximization and the development of optimal strategies for managing the fresh produce supply chain which is crucial for sustainability.
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