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PurposeThe paper proposes a framework for the successful deployment of Industry 4.0 (I4.0) principles in the aerospace industry, based on identified success factors. The paper challenges the perception of I4.0 being aligned with... more
PurposeThe paper proposes a framework for the successful deployment of Industry 4.0 (I4.0) principles in the aerospace industry, based on identified success factors. The paper challenges the perception of I4.0 being aligned with de-skilling and personnel reduction and instead promotes a route to successful deployment centred on upskilling and retaining personnel for future role requirements.Design/methodology/approachThe research methodology involved a literature review and industrial data collection via questionnaires to develop and validate the framework. The questionnaire was sent to a purposive sample of 50 respondents working in operations, and a response rate of 90% was achieved. Content analysis was used to identify patterns, themes, or biases, and the data were tabulated based on specific common attributes. The proposed framework consists of a series of gates and criteria that must be met before progressing to the next gate.FindingsThe proposed framework provides a feedback ...
Washing bar soap is widely used and vital in everyday life, especially in developing countries where demand is increasing due to population expansion. However, the production and use of washing bar soap have negative impacts on the... more
Washing bar soap is widely used and vital in everyday life, especially in developing countries where demand is increasing due to population expansion. However, the production and use of washing bar soap have negative impacts on the environment, and the sustainability of soap packaging is also a concern. This research focuses on measuring the environmental effects of the production phase of washing bar soap while accounting for the differences in soap consumption across brands and consumer behavior during the use phase. The research aims to quantify the ecological burden caused by the production and use of 1 kg of bar soap through a Life Cycle Assessment (LCA) that follows ISO 14040 and 14044 standards. This study also addresses the resource-intensive aspect of soap packaging, particularly plastic packaging, and offers sustainability solutions through circular economy principles. GaBi v8.0 software is used to evaluate various environmental performance indicators, and the results show...
Food Traceability 4.0 refers to the application of fourth industrial revolution (or Industry 4.0) technologies to ensure food authenticity, safety, and high food quality. Growing interest in food traceability has led to the development of... more
Food Traceability 4.0 refers to the application of fourth industrial revolution (or Industry 4.0) technologies to ensure food authenticity, safety, and high food quality. Growing interest in food traceability has led to the development of a wide range of chemical, biomolecular, isotopic, chromatographic, and spectroscopic methods with varied performance and success rates. This review will give an update on the application of Traceability 4.0 in the fruits and vegetables sector, focusing on relevant Industry 4.0 enablers, especially Artificial Intelligence, the Internet of Things, blockchain, and Big Data. The results show that the Traceability 4.0 has significant potential to improve quality and safety of many fruits and vegetables, enhance transparency, reduce the costs of food recalls, and decrease waste and loss. However, due to their high implementation costs and lack of adaptability to industrial environments, most of these advanced technologies have not yet gone beyond the laboratory scale. Therefore, further research is anticipated to overcome current limitations for large-scale applications.
Fish and other seafood products represent a valuable source of many nutrients and micronutrients for the human diet and contribute significantly to global food security. However, considerable amounts of seafood waste and by-products are... more
Fish and other seafood products represent a valuable source of many nutrients and micronutrients for the human diet and contribute significantly to global food security. However, considerable amounts of seafood waste and by-products are generated along the seafood value and supply chain, from the sea to the consumer table, causing severe environmental damage and significant economic loss. Therefore, innovative solutions and alternative approaches are urgently needed to ensure a better management of seafood discards and mitigate their economic and environmental burdens. The use of emerging technologies, including the fourth industrial revolution (Industry 4.0) innovations (such as Artificial Intelligence, Big Data, smart sensors, and the Internet of Things, and other advanced technologies) to reduce and valorize seafood waste and by-products could be a promising strategy to enhance blue economy and food sustainability around the globe. This narrative review focuses on the issues and risks associated with the underutilization of waste and by-products resulting from fisheries and other seafood industries. Particularly, recent technological advances and digital tools being harnessed for the prevention and valorization of these natural invaluable resources are highlighted.
Effluent water from food processing retains considerable heat energy after emission from treatment systems. Heat recovery technologies that may be appropriate for implementation in the food processing industry have been widely explored,... more
Effluent water from food processing retains considerable heat energy after emission from treatment systems. Heat recovery technologies that may be appropriate for implementation in the food processing industry have been widely explored, and selection of the most suitable methodologies has been pursued. A four-stage framework is introduced in this paper to evaluate the potential recoverability of waste heat along with acceptor streams. The systematic approach utilizes thermal and temporal compatibility tools and cost–benefit analyses to determine the ideal heat-recovery equipment for food processing effluent. The applicability of this framework is demonstrated through an industrial case study undertaken in a vegetable canning processing facility. Based on the findings, the framework yields an efficient and optimized heat recovery approach to reducing the total energy demand of the facility.
Recently, the food supply chain (FSC) has been severely disrupted due to the COVID-19 pandemic, putting the vital flow of food products from farmers and producers to the ultimate consumers at risk. Furthermore, due to the pandemic,... more
Recently, the food supply chain (FSC) has been severely disrupted due to the COVID-19 pandemic, putting the vital flow of food products from farmers and producers to the ultimate consumers at risk. Furthermore, due to the pandemic, several food organizations have been prompted to rethink their strategies for the future. Although the literature on FSC research in the COVID-19 era is increasing, no attempt has been made to summarize this stream of research using bibliometric techniques. This paper fills this knowledge gap and looks at the current scholarly discourse around the FSC and COVID-19. Applying bibliometric techniques, 287 journal articles were extracted from Scopus and analyzed to determine the temporal evolution of FSC research, the most productive journals, researchers, countries, and the most relevant keywords and publications. To construct a keyword co-occurrence network and categorize the relevant literature, we used the computer program VOSviewer. The findings demonstr...
In the current competitive scenario, SMEs need to adopt advanced technology in order to comprehend the dynamics of Industry 4.0 and the sustainable operations for operational excellence. The present study discusses the relationship... more
In the current competitive scenario, SMEs need to adopt advanced technology in order to comprehend the dynamics of Industry 4.0 and the sustainable operations for operational excellence. The present study discusses the relationship between Industry 4.0 with sustainable operations and operational excellence. A research model is proposed and assessed through structural equation modelling (SEM). The current research shows that if SMEs adopt Industry 4.0 practices and the use of advanced robotics in order to minimize human intervention, as well as smart logistics that react to changes in production capacity, virtual reality and dynamic simulation techniques, then SMEs can significantly achieve sustainability in manufacturing operations. Furthermore, this study will help companies to attain an operational excellence with greater efficiency and productivity. Therefore, SMEs need to focus on sustainable manufacturing practices.
Nowadays, during the current COVID-19 pandemic, consumers increasingly seek foods that not only fulfill the basic need (i.e., satisfying hunger) but also enhance human health and well-being. As a result, more attention has been given to... more
Nowadays, during the current COVID-19 pandemic, consumers increasingly seek foods that not only fulfill the basic need (i.e., satisfying hunger) but also enhance human health and well-being. As a result, more attention has been given to some kinds of foods, termed “superfoods,” making big claims about their richness in valuable nutrients and bioactive compounds as well as their capability to prevent illness, reinforcing the human immune system, and improve overall health. This review is an attempt to uncover truths and myths about superfoods by giving examples of the most popular foods (e.g., berries, pomegranates, watermelon, olive, green tea, several seeds and nuts, honey, salmon, and camel milk, among many others) that are commonly reported as having unique nutritional, nutraceutical, and functional characteristics. While superfoods have become a popular buzzword in blog articles and social media posts, scientific publications are still relatively marginal. The reviewed findings show that COVID-19 has become a significant driver for superfoods consumption. Food Industry 4.0 innovations have revolutionized many sectors of food technologies, including the manufacturing of functional foods, offering new opportunities to improve the sensory and nutritional quality of such foods. Although many food products have been considered superfoods and intensively sought by consumers, scientific evidence for their beneficial effectiveness and their “superpower” are yet to be provided. Therefore, more research and collaboration between researchers, industry, consumers, and policymakers are still needed to differentiate facts from marketing gimmicks and promote human health and nutrition.
Food is one of the most traded goods, and the conflict in Ukraine, one of the European breadbaskets, has triggered a significant additional disruption in the global food supply chains after the COVID-19 impact. The disruption to food... more
Food is one of the most traded goods, and the conflict in Ukraine, one of the European breadbaskets, has triggered a significant additional disruption in the global food supply chains after the COVID-19 impact. The disruption to food output, supply chains, availability, and affordability could have a long-standing impact. As a result, the availability and supply of a wide range of food raw materials and finished food products are under threat, and global markets have seen recent increases in food prices. Furthermore, the Russian-Ukrainian conflict has adversely affected food supply chains, with significant effects on production, sourcing, manufacturing, processing, logistics, and significant shifts in demand between nations reliant on imports from Ukraine. This paper aims to analyze the impacts of the conflict between Russia and Ukraine on the effectiveness and responsiveness of the global food supply chains. A PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analys...
Operations management is a key aspect in any manufacturing business. Optimising the management of manufacturing operations allows improvement of the productivity and efficiency of industrial activities. To achieve this, reducing waste... more
Operations management is a key aspect in any manufacturing business. Optimising the management of manufacturing operations allows improvement of the productivity and efficiency of industrial activities. To achieve this, reducing waste from manufacturing processes and, therefore, implementing lean-manufacturing principles, is key. This article presents a case study to reduce waste in changeover processes at a ready-meal manufacturer based in South Yorkshire, UK. We identified a large number of activities as part of the changeover process. We applied the Single Minute Exchange of Dies (SMED) methodology to reduce and, whenever possible, eliminate changeover, and line hopping to further optimise changeover. After implementing improvement measures, changeover time was reduced by nearly 30%, OEE was increased to over 70%, and labour costs were reduced by 10%. This shows how lean principles can aid in implementing more effective and economically sustainable manufacturing operations.
Two files: 50 process industry complete.sav (coded data file for SPSS) Amos 50 cases parsimonious final. amw (path file for AMOS)
In Industry 4.0, manufacturing and critical systems require high levels of flexibility and resilience for dynamic outcomes. Industrial Control Systems (ICS), specifically Supervisory Control and Data Acquisition (SCADA) systems, are... more
In Industry 4.0, manufacturing and critical systems require high levels of flexibility and resilience for dynamic outcomes. Industrial Control Systems (ICS), specifically Supervisory Control and Data Acquisition (SCADA) systems, are commonly used for operation and control of Critical Infrastructure (CI). However, due to the lack of security controls, standards, and proactive security measures in the design of these systems, they have security risks and vulnerabilities. Therefore, efficient and effective security solutions are needed to secure the conjunction between CI and I4.0 applications. This paper predicts potential cyberattacks and threats against CI systems by considering attacker motivations and using machine learning models. The approach presents a novel cybersecurity prediction technique that forecasts potential attack methods, depending on specific CI and attacker motivations. The proposed model’s accuracy in terms of False Positive Rate (FPR) reached 66% with the trained...
Meat 4.0 refers to the application the fourth industrial revolution (Industry 4.0) technologies in the meat sector. Industry 4.0 components, such as robotics, Internet of Things, Big Data, augmented reality, cybersecurity, and blockchain,... more
Meat 4.0 refers to the application the fourth industrial revolution (Industry 4.0) technologies in the meat sector. Industry 4.0 components, such as robotics, Internet of Things, Big Data, augmented reality, cybersecurity, and blockchain, have recently transformed many industrial and manufacturing sectors, including agri-food sectors, such as the meat industry. The need for digitalised and automated solutions throughout the whole food supply chain has increased remarkably during the COVID-19 pandemic. This review will introduce the concept of Meat 4.0, highlight its main enablers, and provide an updated overview of recent developments and applications of Industry 4.0 innovations and advanced techniques in digital transformation and process automation of the meat industry. A particular focus will be put on the role of Meat 4.0 enablers in meat processing, preservation and analyses of quality, safety and authenticity. Our literature review shows that Industry 4.0 has significant poten...
Background: This research aims to identify how blockchain technology could support the ecological embeddedness of the coffee supply chain. Ecological embeddedness is a subset of the circular economy (CE) that demands legitimacy through... more
Background: This research aims to identify how blockchain technology could support the ecological embeddedness of the coffee supply chain. Ecological embeddedness is a subset of the circular economy (CE) that demands legitimacy through design changes to product, production and/or packaging for benefits to economic actors and the environment. This is in contrast with legitimacy as a public relations exercise. Blockchain is a digital transformation technology that is not fully conceptualized with respect to supply chain implementation and the related strategy formulation, particularly in the context of sustainability. Furthermore, the integration of consumers into the CE remains not well understood or researched, with the main focus of CE being the cycling of resources. Methods: This research employs a qualitative case study methodology of the first coffee business in the USA to use blockchain technology as an exemplar. Gap analysis is then applied to identify how blockchain could be ...
T he food sector is increasingly under pressure to improve its resource efficiency, with particular areas of focus on reduction of food waste, energy and water consumption. In order to achieve this, it is vital for the Food Supply Chain... more
T he food sector is increasingly under pressure to improve its resource efficiency, with particular areas of focus on reduction of food waste, energy and water consumption. In order to achieve this, it is vital for the Food Supply Chain (FSC) actors to share and exchange information in a timely manner. The technology and tools associated with the concept Internet of Things (IoT) is capable of supporting numerous tasks in real-time such as tracking, locating, monitoring, measuring, analyzing, planning and managing and enhancing efficiency and transparency within FSCs. In this context, the application of IoT for reduction of food waste is garnering lots of attention from researchers, politicians, and industrialists to achieve food security goals. But, the traditional methods of physically monitoring the food wastes in food supply chain is labour intensive, complex, and is often time consuming and costly. Therefore, there is a need to explore an innovative approach based on an automate...
Supplementary Information Files for "Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach"<br>Abstract:Approximately one-third of the food produced globally is spoiled or... more
Supplementary Information Files for "Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach"<br>Abstract:Approximately one-third of the food produced globally is spoiled or wasted in the food supply chain (FSC). Essentially, it is lost before it even reaches the end consumer. Conventional methods of food waste tracking relying on paper-based logs to collect and analyse the data are costly, laborious, and time-consuming. Hence, an automated and real-time system based on the Internet of Things (IoT) concepts is proposed to measure the overall amount of waste as well as the reasons for waste generation in real-time within the potato processing industry, by using modern image processing and load cell technologies. The images captured through a specially positioned camera are processed to identify the damaged, unusable potatoes, and a digital load cell is used to measure their weight. Subsequently, a deep learning architecture...
Supplementary information files for 'Real-time data collection to improve energy efficiency: A case study of food manufacturer'AbstractThe rising price and demand for energy are significant issues for the food sector, which... more
Supplementary information files for 'Real-time data collection to improve energy efficiency: A case study of food manufacturer'AbstractThe rising price and demand for energy are significant issues for the food sector, which consumes a substantial amount of energy throughout the supply chain. Hence, improving energy efficiency has become an essential priority for the food sector. However, most food businesses have limited awareness of the recent technological advancements in real-time energy monitoring. Thus, the concept of 'Internet of Things' (IoT) has been investigated to increase the visibility, transparency and awareness of various energy usage levels. This paper presents a case study of a beverage factory where the implementation of an IoT-enabled sensing technology based on the embodied product energy (EPE) model helped to reduce the energy consumption. This arrangement made provision for the collection of real-time energy data within a food production system t...
Over the past few years, there has been growing research interest in the Internet of Things (IoT). Both academics and industrialists have developed and deployed IoT-based applications for transparency and efficiency within the food... more
Over the past few years, there has been growing research interest in the Internet of Things (IoT). Both academics and industrialists have developed and deployed IoT-based applications for transparency and efficiency within the food sector. Some of the IoT applications that have been successfully implemented are related to tracking, tracing and monitoring food products and other resources, which contributed to improved efficiency as well as better traceability. This chapter focuses on the utilization of IoT technologies in the food supply chain (FSC) specifically post-farm gate until food reaches the retailer’s shelves. It presents IoT applications that have been successfully developed and deployed in FSCs, the pros and cons of IoT implementation and finally, it describes future trends such as elements of Industry 4.0, blockchain, intelligent packaging, and artificial intelligence.
Food hygiene and safety are critical in healthcare organisations where patients are vulnerable against diseases triggered by food prepared under improper conditions. In the UK, almost 400 healthcare institutions were found to need... more
Food hygiene and safety are critical in healthcare organisations where patients are vulnerable against diseases triggered by food prepared under improper conditions. In the UK, almost 400 healthcare institutions were found to need significant improvements to their food catering standards (Press Association, 2016). Such organisations still rely on traditional pen and paper-based methods to record all food-related parameters. This often leads to intentional or unintentional breaching of food standards and increases the endangerment on the health of both the vulnerable patients and other visitors. The complexity of the food supply chain makes it difficult for stakeholders to be aware of food safety issues such as cross-contamination, time and temperature deviations, improper storage or waste management, in real-time. However, using the Internet of Things (IoT) and wearable device concepts may resolve some of these issues by connecting the objects and stakeholders through a network. This chapter, therefore, explores the role and benefits of implementing these technologies to automate the process of collecting crucial food product processing and development data and their use for real-time food safety in healthcare organisations, in hopes of eliminating food-related health risks. It will also demonstrate how Hazard Analysis and Critical Control Point (HACCP) in food safety may be integrated into the healthcare food supply chain.
Circularity in manufacturing is critical to reducing raw material usage and waste. Ecological embeddedness examines circular relationships intended to benefit both economic actors and the natural environment. By understanding circular... more
Circularity in manufacturing is critical to reducing raw material usage and waste. Ecological embeddedness examines circular relationships intended to benefit both economic actors and the natural environment. By understanding circular relationships in the value chain, manufacturers can formulate strategies that are eco-effective. This work develops and validates an original circularity tool to measure the ecological embeddedness of manufacturers using exploratory and confirmatory factor analysis. The tool is tested on process manufacturers selling products in the United Kingdom. The three main results are that the tool is useful and comprehensive (87% of users), enables simple comparisons with competitors, and identifies weaknesses in strategies related to the five dimensions connecting manufacturers, consumers, and the environment: understanding, realising, utilising, negotiating, and reclaiming. Manufacturers may use the tool to improve their ecological embeddedness, and sector-ba...
Utilising the internet of things concepts to improve the resource efficiency of food manufacturing
The food sector is increasingly facing significant challenges throughout the supply chain to become more resource efficient. In this context, three critical areas of focus are the reduction of food waste, energy, and water consumption.... more
The food sector is increasingly facing significant challenges throughout the supply chain to become more resource efficient. In this context, three critical areas of focus are the reduction of food waste, energy, and water consumption. One of the key factors identified as an obstacle to improving resource efficiency is the lack of suitable capabilities to collect, exchange and share real-time data among various stakeholders. Having such capabilities would provide improved awareness and visibility of resource use and help make better decisions that drive overall productivity of the supply chain. The principle concept of the ‘Internet of Things' (IoT) has been used in several applications to improve overall monitoring, planning, and management of supply chain activities. This paper explores the feasibility of adopting such IoT concepts to improve the resource efficiency of food supply chains. An IoTbased framework is proposed to support the incorporation of relevant data into supp...
Quality control is an essential element of manufacturing operations that reduces product defects and provides excellent products of the right specifications to the end consumer. Industry 4.0 solutions, such as digitalisation, along with... more
Quality control is an essential element of manufacturing operations that reduces product defects and provides excellent products of the right specifications to the end consumer. Industry 4.0 solutions, such as digitalisation, along with lean manufacturing tools, may support quality control operations. This paper presents a case study of a food company wherein quality control checks were optimised using business process re-engineering to reduce physical waste and resource usage. Following close analysis of the company’s pack-house operations, it was proposed to adopt elements of Industry 4.0 by digitalising the quality control process. Implementing such a solution led to a reduction in the time needed to complete recorded checks, an increase in the time the pack-house quality control team spends with packers on the production lines, and the facilitation of defects identification. It also ensured that the product met the customers’ specifications and reduced the likelihood of rejectio...
Processes that utilise low-value wastes and convert them to high-value food ingredients systemically add value across commercial operations. Current common disposal options include use as animal feed, anaerobic digestion, composting,... more
Processes that utilise low-value wastes and convert them to high-value food ingredients systemically add value across commercial operations. Current common disposal options include use as animal feed, anaerobic digestion, composting, incineration, and the worst-case options of landfill and wastewater disposal. The pressure is acute with food manufacturers needing to align with the UN Sustainable Development Goals and reach targets of zero waste to landfill. This research identifies black soldier fly larvae as a bioreactor that converts most food waste into high-value feed materials. Production of larvae and the regulatory framework for their use as animal feed is being assessed in several nations. The requirement to understand the availability of feedstocks for larvae production and the capability to establish feedstock supply chains was tested in this study using geographical information system and life cycle assessment methodologies, providing new research insights for resource ut...
Food operations use vast amounts of water. To reduce utility costs as well as concerns regarding water depletion in ecosystems, food businesses usually try to reuse their water. However, this often needs a recycling process to ensure the... more
Food operations use vast amounts of water. To reduce utility costs as well as concerns regarding water depletion in ecosystems, food businesses usually try to reuse their water. However, this often needs a recycling process to ensure the water is of good quality and safe to reuse in a food environment. This paper presents a case study of a grower of beansprouts and other varieties of sprouted seeds that uses six million litres of water weekly. Approximately 60% of their spent irrigation water is recycled using both 50 µm and 20 µm drum filtration. In addition, chlorine dioxide is used as part of the recycling process as a disinfectant. Our analysis demonstrated that the size of suspended solid particles in over 90% of the cumulative sample tested was smaller than the current 20 µm filter in place, highlighting that the existing system was ineffective. We, then, explored options to enhance the water recycling system of the company. After careful analysis, it was proposed to install a...
There is a lack of knowledge among food manufacturers about adopting the Internet of Things (IoT)-based water monitoring system and its ability to support water minimisation activities. It is therefore necessary to investigate the... more
There is a lack of knowledge among food manufacturers about adopting the Internet of Things (IoT)-based water monitoring system and its ability to support water minimisation activities. It is therefore necessary to investigate the applicability of IoT-based real-time water monitoring systems in a real food manufacturing environment to pursue water-saving opportunities accordingly. This article aims to propose an architecture of an IoT-based water-monitoring system needed for real-time monitoring of water usage, and address any water inefficiencies within food manufacturing. This article looks at a study conducted in a food beverage factory where an IoT-based real-time water monitoring system is implemented to analyse the complete water usage in order to devise solutions and address water overconsumption/wastage during the manufacturing process. The successful implementation of an IoT-based real-time water monitoring system offered the beverage factory a detailed analysis of the wate...
The food and beverage industry is one of the most water-intensive industries, with water required for various processes (e.g., washing, cooking, cleaning) at almost every stage of the production, as well as being a key constituent in many... more
The food and beverage industry is one of the most water-intensive industries, with water required for various processes (e.g., washing, cooking, cleaning) at almost every stage of the production, as well as being a key constituent in many food and drink products. Therefore, a real-time efficient water management strategy is imperative, and the novel internet of things (IoT)-based technologies can be of significant help in developing it. This chapter presents the architecture of an IoT-based water-monitoring system followed by the demonstration of a case study of a beverage factory wherein the monitoring system helped understand the detailed water usage as well as finding solutions and addressing overconsumption of water during the manufacturing processes. The successful deployment of IoT helped reduce the annual water consumption by 6.7%, monitor water usage in real-time, and improve it.
With the vast amount of data available, and its increasing complexity in manufacturing processes, traditional statistical approaches have started to fall short. This is where machine learning plays a key role, addressing the challenges by... more
With the vast amount of data available, and its increasing complexity in manufacturing processes, traditional statistical approaches have started to fall short. This is where machine learning plays a key role, addressing the challenges by bringing the ability to analyse large and complex datasets from multiple sources, finding non-linear and intricate patterns on data, relationships between several factors and their influence on the manufacturing process outputs. This paper demonstrates the advantages and applications of using supervised machine learning techniques in the manufacturing industry. It focuses on binary classification and compares the performance of three different machine learning algorithms: logistic regression, support vector machine, and neural networks. A case study has been conducted on a manufacturing company, using the techniques and algorithms mentioned. The case study focuses on analysing the relationship between different manufacturing process variables and t...
The food sector is currently very inefficient due to a large amount of food waste it generates, and the volumes of water and energy used. This problem is aggravated by increasing economic costs and stricter regulations associated with the... more
The food sector is currently very inefficient due to a large amount of food waste it generates, and the volumes of water and energy used. This problem is aggravated by increasing economic costs and stricter regulations associated with the disposal and treatment of food waste, carbon emissions and wastewater discharge. Because of this, resource efficiency is key to a sustainable food system. In this context, it is essential to reduce food waste, energy and water through transparent and accurate real-time monitoring to be able to understand the real reasons behind their generation/use. Understanding these reasons would help food manufacturers to redesign their processes and achieve operational improvements. The Internet of Things (IoT), a relatively new manufacturing concept within Industry 4.0, can support this. IoT consists of an information technology infrastructure for data collection and distribution, that can significantly influence the efficiency and performance of manufacturing systems. This article presents an IoT-based framework for monitoring the generation of food waste and the use of energy and water in the food sector. The framework supports the identification of improvements to optimise the resource efficiency of food manufacturing through the design and implementation of a number of IoT-based tools
Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food logistics management based on cyber-physical systems. It states that real-time information and the interconnectivity of things, supplemented with... more
Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food logistics management based on cyber-physical systems. It states that real-time information and the interconnectivity of things, supplemented with novel technologies will revolutionise and improve the way food logistics is carried out. It has tremendous potential in terms of bringing transparency, swift delivery of food at reduced cost, flexibility, and capability to deliver the right quality product at the right place and at the right time. This paper discusses the vital technologies within Food Logistics 4.0 and the opportunities and challenges in this regard. It focuses primarily on food logistics, including resource planning, warehouse management, transportation management, predictive maintenance, and data security. Internet of Things, Blockchain, Robotics and Automation and artificial intelligence are some of the technologies discussed.

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Over the past few years, there has been growing research interest in the Internet of Things (IoT). Both academics and industrialists have developed and deployed IoT-based applications for transparency and efficiency within the food... more
Over the past few years, there has been growing research interest in the Internet of Things (IoT). Both academics and industrialists have developed and deployed IoT-based applications for transparency and efficiency within the food sector. Some of the IoT applications that have been successfully implemented are related to tracking, tracing and monitoring food products and other resources, which contributed to improved efficiency as well as better traceability. This chapter focuses on the utilization of IoT technologies in the food supply chain (FSC) specifically post-farm gate until food reaches the retailer's shelves. It presents IoT applications that have been successfully developed and deployed in FSCs, the pros and cons of IoT implementation and finally, it describes future trends such as elements of Industry 4.0, blockchain, intelligent packaging, and artificial intelligence.
One of the most prominent challenges commonly acknowledged by modern manufacturing industries is 'how to produce more with fewer resources?' Nowhere is this more true than in the food sector due to the recent concerns regarding the... more
One of the most prominent challenges commonly acknowledged by modern manufacturing industries is 'how to produce more with fewer resources?' Nowhere is this more true than in the food sector due to the recent concerns regarding the long-term availability and security of food products. The unique attributes of food products such as the need for fresh perishable ingredients, health risks associated with inappropriate production environment, stringent storage and distributions requirements together with relatively short post-production shelf-life makes their preparation, production and supply considerably different to other manufactured goods. Furthermore, the impacts of climate change on our ability to produce food, the rapidly increasing global population, as well as changes in demand and dietary behaviours both within developed and developing countries urgently demands a need to change the way we grow, manufacture and consume our food products. This paper discusses a number of key research challenges facing modern food manufacturers , including improved productivity using fewer resources, valori-sation of food waste, improving the resilience of food supply chains, lo-calisation of food production, and utilisation of new sustainable sources of nutrition for provision of customised food products.
Energy conservation plays a vital role towards sustainable development of meat processing. Energy costs for many meat plants represent the fourth highest operational cost. In meat processing, moderate levels of both electrical and thermal... more
Energy conservation plays a vital role towards sustainable development of meat processing. Energy costs for many meat plants represent the fourth highest operational cost. In meat processing, moderate levels of both electrical and thermal energy are consumed in wide range of processes and applications. However, energy efficiency improvement in the meat processing industry have been a focus to increase the sustainability of meat processing in the past decades. This chapter started with the examination of the energy use in meat processing facilities. The emerging energy-efficient technologies for meat processing were discussed in detail. Energy requirement for well-cooked meats varies with cooking method, appliances, and consumer behavior. Energy consumption reduction during meat cooking may have an influence on global energy requirement. Selection of cooking method, fuel, and cookware are beneficial for reducing the carbon footprint of the cooking unit. This chapter also presents the effects on quality characteristics of meat and meat products by different cooking methods.
Food, hygiene, and safety are critical in healthcare institutions, especially those in which patients are vulnerable against diseases triggered by food prepared under improper conditions. In the United Kingdom, almost 400 healthcare... more
Food, hygiene, and safety are critical in healthcare institutions, especially those in which patients are vulnerable against diseases triggered by food prepared under improper conditions. In the United Kingdom, almost 400 healthcare institutions were found to need significant improvements to their food preparation standards (ITV News, 2016). Such institutions still rely on traditional pen and paper-based methods to record all food-related parameters. This often leads to intentional (or unintentional) breaching of food standards and increases the health endangerment of both the vulnerable patients and other visitors. The complexity of the food supply chain makes it difficult for stakeholders to be aware of food safety issues such as cross-contamination, time and temperature deviations, and improper storage or waste management, in real time. However, using the Internet of Things and wearable device concepts may resolve some of these issues by connecting the objects and stakeholders through a network. This chapter, therefore, explores the role and benefits of implementing these technologies to automate the process of collecting data on food product processing and development, as well as the use of these technologies for real-time food safety, in the hopes of eliminating food-related health risks in healthcare institutions. It will also demonstrate how Hazard Analysis and Critical Control Point in food safety may be integrated into the food supply chain of the healthcare industry.
The food sector is increasingly facing significant challenges throughout the supply chain to become more resource efficient. In this context, three critical areas of focus are the reduction of food waste, energy, and water consumption.... more
The food sector is increasingly facing significant challenges throughout the supply chain to become more resource efficient. In this context, three critical areas of focus are the reduction of food waste, energy, and water consumption. One of the key factors identified as an obstacle to improving resource efficiency is the lack of suitable capabilities to collect, exchange and share real-time data among various stakeholders. Having such capabilities would provide improved awareness and visibility of resource use and help make better decisions that drive overall productivity of the supply chain. The principle concept of the 'Internet of Things' (IoT) has been used in several applications to improve overall monitoring, planning, and management of supply chain activities. This paper explores the feasibility of adopting such IoT concepts to improve the resource efficiency of food supply chains. An IoT-based framework is proposed to support the incorporation of relevant data into supply chain decision-making models for the reduction of food waste, energy and water consumption.
Food and beverage industry is one of the most water-intensive industries, with water required for various processes, eg washing, cooking, cleaning, at almost every stage of the production, as well as being a key constituent in many food... more
Food and beverage industry is one of the most water-intensive industries, with water required for various processes, eg washing, cooking, cleaning, at almost every stage of the production, as well as being a key constituent in many food and drink products. Therefore, a real-time efficient water management strategy is imperative, and the novel Internet of Things (IoT)-based technologies can be of significant help in developing it. This paper presents the architecture of IoT-based water-monitoring system followed by the demonstration of a case study of a beverage factory wherein the monitoring system helped understand the detailed water usage as well as finding solutions and addressing overconsumption of water during the manufacturing processes. The successful deployment of IoT helped reduce the annual water consumption by 6.7%, monitor water usage in real-time, and improve it.
The food sector is under tremendous pressure to make its supply chains more resource efficient. In this context, the focus is on the reduction of the three nexus components which are food waste, energy and water. One of the key challenges... more
The food sector is under tremendous pressure to make its supply chains more resource efficient. In this context, the focus is on the reduction of the three nexus components which are food waste, energy and water. One of the key challenges identified in improving resource efficiency is the low availability of real-time data to all the actors of the food supply chain (FSC) which inhibits better decision-making capability. Having such an ability would increase the productivity of the supply chain. The Internet of Things (IoT) concept, which has been around for a few years now, provides the possibility of monitoring, bringing in transparency and efficiency to supply chain activities. This paper investigates the practicability of utilising IoT concepts to improve the resource efficiency of FSCs. An IoT-based framework and methodology are proposed to integrate suitable data into supply chain decision-making processes for the reduction of nexus components.