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Papers on “food waste reduction supply chain interventions”

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  1. An application of machine learning to classify food waste interventions from a food supply chain perspective

    Qiongfang Zou, Carel Nicolaas Bezuidenhout, Imran Ishrat · 2024 · British Food Journal · 8 cites

    PurposeThe purpose of this paper is to demonstrate the efficacy of machine learning (ML) in managing natural language processing tasks, specifically by developing two ML models to systematically classify a substantial number of food waste interventions.Design/methodology/approachA literature review was undertaken to gather global food waste interventions. Subsequently, two ML models were designed and trained to classify these interventions into predefined supply chain-related groups and intervention types. To demonstrate the use of the models, a meta-analysis was performed to uncover patterns amongst the interventions.FindingsThe performance of the two classification models underscores the c

  2. Decarbonization and waste reduction in a disrupted food supply chain: a step towards achieving food sustainability

    Ranveer Singh Rana, Dinesh Kumar, Kanika Prasad · 2025 · British Food Journal · 4 cites

    PurposeThis study aims to reduce carbon emissions and minimize waste in the event of disruptions in a short and fast-food perishable such as fruits, vegetables, packaged food items, etc. supply chain through optimal investment in green and preservation technologies.Design/methodology/approach This study utilized a Hessian matrix approach to optimize decision variables with an objective to maximize the profit function.FindingsThe study demonstrates that investing in both green and preservation technology within a short and fast-food supply chain is highly beneficial for decarbonization and waste reduction and it leads to profit maximization. It has been shown with the help of a numerical expe

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