Review of Technological Advancements in Food Supply Chain Management: A Comparative Study Between the U.S. And Africa

PurposeThis study investigates food waste within the food supply chain (FSC), for the case of fresh and short FSC (FS-FSC), aiming to (1) reveal the major causes of waste across FSC (2) identify the food waste mitigation strategies, (3) measure food waste impacts at each supply stream, and (4) propose practical initiatives to support decision/policymakers in strategic food waste management, especially in the case country.Design/methodology/approachThis study adopts a mixed-method approach to investigating food waste, examining existing literature using template analysis. The focus is on three key elements: factors enabling food waste, its final destinations, and strategies to reduce it. The study then gathers information from a prominent regional retailer and consumers through interviews and surveys. The empirical data collected is then analysed using template analysis and descriptive statistics.FindingsThis research highlights key waste enablers across the food supply chain networks, including procurement and storage, processing, operation strategy, people, and consumers. The enablers differed in the amount of food waste produced, and the research outcome demonstrates that the end consumers were the largest contributors to the food waste generated. The changes in people's habits and tastes significantly affect the FS-FSC. Interestingly, results demonstrated that 40% of consumers utilise food leftovers as pet food.Practical implicationsThe proposed food waste management initiatives can help companies minimise and mitigate food waste at each supply chain stage. Practitioners can use the identified causes and mitigation strategies to implement mitigation efforts and translate them into actionable plans.Originality/valueThe article outlines a practical approach for addressing food waste in an FS-FSC case throughout the entire chain, encompassing supply, distribution, catering, delivery, and consumption. The study not only sheds light on the primary reasons for food wastage but also provides insights into potential solutions that are not only effective but also feasible in real-world scenarios.

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Articulating Deep Learning and Internet of Things (IoT) in the Hospitality Industry as a Catalyst for Sustainable Consumption and Food Wastage

Singh,

Jain,

Kaunert

2024

Practice, Progress, and Proficiency in Sustainability

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A new age of innovation in the hospitality sector is being ushered in by the confluence of deep learning (DL) and the internet of things (IoT), which offers a comprehensive solution to sustainability issues. Due in large part to its complex supply networks and high resource consumption, the hospitality sector contributes significantly to food waste and environmental damage. In order to provide a more sustainable and socially responsible approach to waste management, this chapter explores how the combination of DL and IoT systems might play a crucial role in it. DL algorithms are used to optimize a number of areas of hospitality operations because to their capacity to evaluate massive datasets. These models are used in the food service industry for customized menu improvement, inventory control and demand forecasting. These technologies can help to achieve SDGs 1 and 2 by creating ecologically and socially responsible hospitality industries through the promotion of sustainable consumption patterns and effective waste management.

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Review of Technological Advancements in Food Supply Chain Management: A Comparative Study Between the U.S. And Africa

Cited by 5 publications

References 30 publications

The effects of sustainability innovation and supply chain resilience on sustainability performance: Evidence from China’s cold chain logistics industry

The effects of sustainability innovation and supply chain resilience on sustainability performance: Evidence from China’s cold chain logistics industry

Tackling food waste: unveiling causes, implications and solutions in Oman's fresh and short food supply chain

Articulating Deep Learning and Internet of Things (IoT) in the Hospitality Industry as a Catalyst for Sustainable Consumption and Food Wastage

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