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  1. The Food Supply Chain Analytics and Sensing (FSAS) Initiative is creating predictive analytical tools and technologies to improve the design and management of safe and reliable food supply chains that are accessible and sustainable.

  2. 18 maj 2022 · Scientific studies in this special edition of the journal provide theoretical approaches and tools for analysis, including methodologies for measurement and modelling, to improve the understanding of the dynamics of food value chains, in order to enhance their resilience, fairness and sustainability.

  3. 1 gru 2023 · Motivated by this, our study critically reviews the literature on food supply chain resilience against different types of disruptions, identifies research gaps, and provides a reference for the food supply chain to respond to uncertainties more effectively through digital technology and sustainability integration.

  4. 5 sty 2024 · This review aims to comprehensively analyze the Short Food Supply Chain (SFSC) model, which connects local food producers directly with consumers. By exploring participation factors, sustainable practices, challenges, economic impacts, and social benefits, this study seeks to provide a thorough understanding of SFSCs.

  5. 1 kwi 2021 · In this review, the transitions required to move from linear food chains to closed loop systems to the wider food web for more sustainable food systems are discussed. The interdependencies between resource use, the activities in the food chain and various sustainability indicators are considered.

  6. 1 sie 2022 · Abstract. The purpose of this study is twofold: firstly, to provide a literature review of sustainable supply chain management (SSCM) critical factors, practices and performance; and secondly, to develop a comprehensive and testable model of SSCM in the food industry.

  7. 12 lip 2024 · This brief outlines a rigorous and standardized approach for value chain analysis and design, taking a systems perspective to analyse and influence the behaviour and performance of value chain actors influenced by a complex environment.

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