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Fields of Action for Designing Measures to Avoid Food Losses in Logistics Networks

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  • Julia Kleineidam

    (Chair of Logistics, Institute for Technology and Management, Technical University of Berlin, 10623 Berlin, Germany)

Abstract

The literature contains many analyses of measures against food loss. However, there exists no structured analysis of the objective of these measures. This study employs a systematic literature analysis and open expert interviews, combining the perspectives of science and practice. For each analyzed case, we identified the objectives behind the implemented measures. Using qualitative clustering, we categorized the located objectives into fields of action. The identified 13 fields of action provide an overview of the objectives of food loss prevention measures. The results indicate that different levels of importance can be assigned to these fields of action. In particular, the results show the relevance of increased network cooperation and transparency within a company and along the entire value chain. Furthermore, the study indicates that the creation of transparency provides the greatest overall added value in terms of reducing food losses.

Suggested Citation

  • Julia Kleineidam, 2020. "Fields of Action for Designing Measures to Avoid Food Losses in Logistics Networks," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:6093-:d:391390
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    Cited by:

    1. Meng-Leong How & Yong Jiet Chan & Sin-Mei Cheah, 2020. "Predictive Insights for Improving the Resilience of Global Food Security Using Artificial Intelligence," Sustainability, MDPI, vol. 12(15), pages 1-14, August.
    2. Julia Kleineidam, 2022. "Distinguishing Organisational Profiles of Food Loss Management in Logistics," Logistics, MDPI, vol. 6(3), pages 1-23, August.
    3. Mirela Stanciu & Agatha Popescu & Iuliana Antonie & Camelia Sava & Bogdan Gabriel Nistoreanu, 2022. "Good Practices on Reducing Food Waste Throughout the Food Supply Chain," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(60), pages 566-566, April.
    4. Tom Binsfeld & Benno Gerlach, 2022. "Quantifying the Benefits of Digital Supply Chain Twins—A Simulation Study in Organic Food Supply Chains," Logistics, MDPI, vol. 6(3), pages 1-23, July.

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