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Manufacturing in Mauritius is mostly export-oriented. Any supply chain (SC) failure or resilience deficit may result in cancellation of orders and loss of customers, market share and revenue and reduce capability to compete globally. Addressing this challenge is complex, although digital technologies and artificial intelligence (AI) models can improve resilience by assisting decision-making and mitigate risks, thus infusing greater predictability across the SC.

Supply chains are facing increasing disruptions and uncertainties owing to extreme weather events, the war in Ukraine, market volatility and the ongoing COVID-19 pandemic, among other factors. Manufacturing industries and their supply chains essentially create thousands of jobs that enable economic growth and sustain export capability. In addition, they need to maintain or increase both productivity and efficiency and recover quickly from unforeseen or unexpected challenges – that is they need to be resilient. Transformation initiatives, whether in production or supply chain management (SCM), are never easy. Process changes not supported by data or hurried human decisions can sometimes have unintended consequences, mainly adverse. However, in times of greater uncertainty (war and pandemic), setbacks can have greater consequences on the business. Manufacturers are already apprehensive and report slowing exports as recession concerns have caused consumers and businesses to pull back on spending. There is therefore a need to reduce uncertainty and augment resilience by unlocking and synthesising insights that emanate from the power of data analytics, AI and machine learning to improve the resilience efficiency balance.

This chapter will discuss the opportunities arising from the adoption and implementation of digital technologies and AI in SCM, leading to better value creation, less greenhouse gas emissions and resilience. The hurdles that enterprises are facing to integrate AI in their logistics and SCs will also be highlighted. This work comments on initiatives that uphold the objectives of SDG 8 – decent work and economic growth, SDG 9 – industry, innovation & infrastructure and SDG 13 – climate action.

Air freight transportation is an increasingly important element in the production supply chains of both developed and less-developed countries. This chapter looks at the particular features of air freight transportation that pertain to the developing world. In doing this, it is borne in mind that much of the trade involves international interactions with developed countries and this affects the technology and costs involved. The markets for the transportation of flower products is given particular attention.

The Internet of Things (IoT) is a cloud system that saves energy by being involved in the decision-making process of machines. By this means, machines create an environment of direct interaction without the need for explicit instructions. In this chapter, answers have been sought to the questions of what kind of research has been done on IoT-based technological devices, and how IoT-based technologies are effective in sustainable food production. The systematic literature review examined the scientific research on IoT and Food in the range of 2010–2022 in Scopus. The general framework of the research has been carried out in the context of 6Ws (who, when, where, what, why, and how), which is one of the systematic literature reviews. The results obtained have been analyzed and interpreted in the MAXQDA 2020 qualitative data analysis program. In the findings obtained, it has been determined that IoT and food have gained importance worldwide, especially in England, India, and China. Furthermore, it has been determined that most of the studies on IoT are based on case studies, and all the articles examined are collected in three main focus points. Subcodes have been created under the main codes ‘Food Supply Chain, Smart and Sustainable Agriculture ve Waste Management’, and problem points have been tried to be customized.

Wastage and post-harvest losses in food value chains are becoming increasingly debated and policies are being increasingly designed to reduce food wastages. Despite its presumed importance, there is large variation in the importance and type of food losses and wastage. We identify the levels of food wastage at various levels of the potato food chain for three Asian countries.

Surveys were fielded to better measure the important variation between value chain agents, to capture wastage at each level, to analyze the structure of the value chain, and to evaluate wastage over the whole value chain (except for consumption). We generate data on an important staple in these countries and analyze the importance of waste in domestic rural-urban food value chains, often the most important value chain in these countries.

We find total quantities of potatoes wasted are equal to 5.2% in the harvest period and 6.4% in the off-season of all quantities that enter the value chain for Bangladesh. Even lower numbers are obtained in India (3.2% and 3.3%, respectively). These wastage levels are higher in China, possibly because of the significantly longer distances that potatoes are shipped.

The use of cold storage facilities can minimize the level of wastage in the potato distribution chain. Studies of this type of storage for other countries and commodities can identify opportunities in which adoption of cold storage can provide the greatest contributions toward the elimination of food wastage.

COVID-19 not only has impacted adversely the health infrastructure, taking away lives of millions of people but it has also crippled the economy. The worst effected were food supply chain due to restrictions imposed on operations of shops and retail outlets. The consumers were suffering due to lack of supply. Similarly, agriculture produce were getting wasted due to lack of cold storage.

In this case we have proposed how a mobile-based application solution during COVID lockdown can successfully transform the livelihood of rural farmers in the state of Maharashtra (India), a state worst affected by the pandemic.

The technology-integrated supply chain model jointly developed by financial institutions, self-help groups (SHGs) and NGOs has enabled direct selling of fresh produces by rural women farmers to urban large residential societies at their doorsteps. It has provided a solution of municipality waste management by converting the waste to compost, getting them collected and used in the farmlands.

It will help the urban consumers to have the continuous supply of fresh vegetables and fruits available at their doorsteps, and keep a track of transport of foods from farm to fork. The farmers will be able to get better price for their produce. The model will also contribute towards circular economy (CE) through citizen partnership.

This chapter explores the potential economic advantages and disadvantages of reusable plastic containers (RPCs) in the transport of fresh produce from growers to retail stores. The empirical research linking packaging to quantifiable economic and social benefits is reviewed. This study answers the question – what are the economic and social impacts of increased standardization of bulk packaging in the North American fresh produce supply chains? Implications for the potential use of RPCs and its impact on sustainability are explored.

The chapter describes data from grocery retailers who have implemented both one-way and reusable plastic containers for fresh produce distribution. A Time-Driven Activity-Based Costing (TD-ABC) analysis was conducted to capture and evaluate process times and product damage associated with the typical deployment of bulk containers in the grocery retailers’ distribution centers (DC), retail stores, and asset recovery centers of the supply chain. Economic measures were implemented and together with the social dimensions provided insights about sustainability-based implications.

Fresh produce shipments using the RPC technology had significantly less waste and damage representing potential social and economic benefits. The empirical findings included results about the economic impact of RPCs on the sustainability level of a typical supply chain for fresh food products.

The quantification of the economic and potential social sustainability for the explored packaging types constitutes an important contribution. Much of the previous research did not contain comprehensive assessments. The impact of technological change – the introduction and use of RPC in packaging – is examined. In addition, the supply chain scope for this research included most of the major activities that involve the packaging of fresh produce commodities in its practical dynamics.

This chapter explores two business and innovation strategies to increase sustainability in a small-medium enterprise. The two strategies, one addressing the improved sustainability of an existing product line and the other addressing the development and implementation of a new product line, employ different supply chain sustainable practices and utilize different dynamic capabilities.

The chapter describes how sustainable supply chain management practices, sustainable new product development processes, and theories of dynamic capabilities interact to support a sustainable and differentiated strategy in the Alcass organization.

The models of sustainable supply chain management and sustainable new product development are applied to “more sustainable” products and “new sustainable” products, by raising different relevant practices as well as different supporting dynamic capabilities.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

India's agri-food industry is rapidly expanding to keep up with the country's growing population. With the help of the fourth Industrial Revolution (Industry 4.0), modernization is creating a new revolution in the agri-food sector. Its applications in the food supply chain as a supply chain 4.0 (SC 4.0) have made it convenient to deliver products efficiently from farms to consumers. The various technologies such as the internet of things (IoT), artificial intelligence (AI), big data analytics and blockchain, etc., have impacted emerging supply chains. But many challenges are perceived by stakeholders toward the adoption of SC 4.0 technologies in India. The authors identified the challenges of adopting SC 4.0 for the agri-food sector and used the Total Interpretive Structural Modeling (TISM) tool to analyze those challenges. Based on literature research, nine major issues were diagnosed and then simulated using expert opinion. Primary data were also gathered with the help of a questionnaire to identify the status of acceptance level of these technologies. This study highlights the importance of government support, availability of sources of funds, customer orientation toward food safety, the commitment of management toward modernization, aware and well trained and motivated employees are a few of the major factors impacting the adoption of SC 4.0 technologies.