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The Agri-Food industry currently faces a range of challenges, from food safety and security, demand, and supply gaps to the maintenance of product quality and issues in product traceability. Smart digital technologies have opened a complete paradigm shift, providing solutions to these challenges, and helping move towards safe, resilient, responsive, and eventually profit-driven supply chains. The use of these digital technologies by Agri-Food supply chains can bring significant changes in food supply chain management by reducing food wastage, real-time product monitoring, and reducing scalability issues. Agri-Food 4.0: Innovations, Challenges and Strategies addresses new research on digital technologies in the industry, including smart packaging, smart warehousing, effective inventory control, blockchain technology, artificial intelligence, and other Industry 4.0 concepts. Agri-Food 4.0 explores the challenges and complexities in implementing such technologies, helping policymakers in the agri-food sector with impact assessment and digital transformation towards creating a sustainable industry.

Circular Economy in the Agri-Food Sector: Introduction -- Mapping Facets of Circularity: Going Beyond Reduce, Reuse, Recycle in Agri-Food Supply Chains -- A Conceptual Framework for Supply Chain Circularity in Agri-Food Sector -- Circular Economy in Agri-Food Sector: Food Waste Management Perspective -- Sustainable Food Value Chains and Circular Economy -- Rethinking the Physical Losses definition in Agri-food chains from Eco-Efficiency to Circular Economy -- Modelling the Causes of Post-harvest Losses in Indian Agri-Food Supply Chain for Sustainable Development Goal: An ISM Approach -- Carbon Footprints of Raw Milk and Dairy Products -- Valorization of By-products from Food Processing Through Sustainable Green Approaches -- Applying Circular Economy Principles to Agriculture: Selected Case-Studies from the Indian Context -- Transition Toward a Circular Economy through Surplus Food Management.

This book provides the interplay between digital transformation, industry 4.0 technologies, and sustainable supply chain performance. The book mainly focuses on presenting case studies and empirical studies demonstrating how the industry 4.0 technologies interact with the conventional manufacturing practices such as lean manufacturing, circular economy practices, total quality management, and maintenance management, while achieving enhanced sustainable supply chain performance. The book guides the practitioners to consider the status of conventional supply chains in their organisations while designing industry 4.0 systems. This book is a useful resource for researchers and academicians to understand the interplay between existing technologies, industry 4.0 technologies, and sustainable performance in the digital transformation journey. Presents the interplay between industry 4.0 technologies and conventional manufacturing practices such as lean manufacturing, circular practices, and total quality management; Offers various perspectives on how industry 4.0 leads to digital transformation of manufacturing organizations to achieve sustainable supply chain performance; Provides practice-oriented material, case studies, and empirical data.

Intro -- Foreword -- Preface -- Acknowledgements -- Contents -- Editors and Contributors -- 1 Agile Agriculture Supply Chain Management (AASCM) for Managing Shifting Consumer Food Preferences: Framework Development Using Grounded Theory Approach -- 1.1 Introduction -- 1.2 Literature Review -- 1.3 Methodology -- 1.4 Data Collection and Analysis -- 1.5 Results -- 1.6 Discussion and Conclusions -- 1.7 Limitations and Future Scope -- References -- 2 Modeling of Risk Factors in Transportation of Perishable Goods Using ISM Approach -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Risk Factors Involved in Transportation of Perishable Goods -- 2.4 Methodology -- 2.4.1 Interpretive Structure Modeling (ISM) -- 2.5 Steps Involved in ISM Methodology -- 2.6 ISM on Risk Factors -- 2.7 Conclusion -- References -- 3 Forecast Modelling in Supply Chain Management of Food Processing Industry: A Case Study -- 3.1 Introduction -- 3.1.1 Importance of Forecasting in Supply Chain Management -- 3.1.2 Challenges of Forecasting in Supply Chain Management -- 3.1.3 Supply Chain Forecasting Methods -- 3.1.4 Forecasting Duration And Its Application Models -- 3.1.5 Models of Forecasting and Levels of Accuracy in Forecasting -- 3.2 Case Study on the Effective Forecasting of Supply Chain Decisions of Ideal Food Products, Belgaum, Karnataka-India -- 3.2.1 Background of the Company -- 3.2.2 Problem Statements -- 3.2.3 Forecasting Modelling for Ideal Food Products -- 3.2.4 Calculations of Forecasting -- 3.2.5 Outcome of the Forecasting Modelling for Ideal Food Products -- 3.3 Conclusions -- 3.4 Disclosure -- Annexure 1-Income Statement of Ideal Food Products (Source Author) -- Annexure 2-Supply Chain Management Cost of Ideal Food Products (Source Author) -- Annexure 3-Sales Forecast of Ideal Food Products -- References.

AbstractLogistics is among the leading contributors to pollution and greenhouse gas emissions and needs a paradigm shift to ensure sustainability. Green logistics is an initiative to reduce environmental, social and economic damage, create a positive brand image and ensure customer loyalty to the firm. Even though green logistics yields many benefits, several factors often challenge its successful implementation. Thus, the study aims to identify and group the adoption barriers to green logistics in the food industry. The barriers perceived by food industry professionals were collected through a survey, and exploratory factor (EFA) analysis was applied to identify and group the most significant ones. EFA grouped the 19 significant barriers into six factors: organizational, regulatory, supplier, technological, customer and financial. Identifying these adoption barriers can help organizations frame suitable strategies to overcome barriers in successfully implementing green logistics. The study also suggests strategies to address the barriers to green logistics in the food industry for the Indian economy. The study also highlights implications for practice and theory.

PurposeThis study aims to examine the impact of Covid-19 on social and eco-environmental sustainability. It will also investigate the effect of advanced technologies in the post-pandemic era.Design/methodology/approachTo get the robust findings, GMM (Generalized Method of Moments) modeling is employed on the panel data of 50 countries across the globe.FindingsThe outcomes indicate that gross fixed capital, logistical operations, knowledge spillover are positive, while Covid-19 is negatively associated with international trade. The results also revealed that Covid-19 spurs poverty and vulnerable employment, while the fertility rate increase creates pressure on economic growth. Also, fossil fuel and energy consumption contribute to carbon emission, while green and advanced technologies may mitigate the environment's adverse effects.Originality/valueThis study is the first of its kind to provide a solution to the challenges posed by the Covid-19 pandemic in the post-pandemic environment. Furthermore, researchers, managers and legislators can use this article's findings to formulate relevant policies for post-pandemic.