Search Results (77)

Because of the relevance of Salmonella spp. in poultry, in 2016, the Brazilian Ministry of Agriculture, Livestock, and Supply updated its regulation for the control and monitoring of Salmonella in the poultry meat production chain. We herein present the results of the official monitoring of sampling cycles of carcasses performed by the Brazilian official veterinary inspection service (SIF) and the Center for Epidemiology, Statistics, and Public Health of the Veterinary School of the Federal University of Minas Gerais. Samples were collected in March–September 2017, during which 140 slaughterhouses slaughtered over three billion chickens. The establishments were classified according to the number of animals slaughtered per day, and cycles varied according to the size of the establishment. Sample weights were defined to increase the external validity of the data. Chicken carcasses were randomly sampled after chilling and dripping. A total of 1434 samples were analyzed in official laboratories using Vidas SLM and SPT systems, for positive samples were used the ISO 6579:2014. The estimated prevalence of Salmonella spp. in chicken carcasses was 17.88% (95% CI 14.34–22.05). Considering the representativeness of Brazilian chicken meat in the global market, constant evaluation and review of the program is necessary to reduce the prevalence of Salmonella. Full article

Ensuring the safety and quality of perishable agrifood products throughout the supply chain is essential. Key parameters, such as temperature and humidity, must be consistently monitored to prevent spoilage, maintain nutritional value, and minimise health risks. Fluctuations in transportation conditions can compromise product integrity, leading to deterioration and an increased risk of foodborne illness. Monitoring agrifood supply chains is essential, from packaging to last-mile delivery. Distribution methods that rely on non-automated monitoring systems, such as manual temperature measurements, are error-prone due to the failure of manual treatments and increase the likelihood of product deterioration. Emerging sensor technologies and the rapid development of Information and Communication Technologies offer new possibilities for real-time tracking, enabling stakeholders to maintain optimal conditions and monitor aesthetic, physicochemical, and nutritional quality. This paper proposes a cost-effective temperature and humidity traceability system that utilises wireless sensor networks (WSN) and Internet of Things (IoΤ) services to monitor perishable products within the agrifood supply chain ecosystem. It also provides an overview of recent innovations in sensor technologies, along with food quality indicators relevant to real-time monitoring of food quality. The proposed research examines the available sensor technologies and methodologies that enable continuous monitoring of agrifood supply chains. Moreover, the paper presents a pilot full-scale project from both functional and technological perspectives. Full article

Counterfeit products cause financial losses for both the manufacturer and the enduser; e.g., fake foods and medicines pose significant risks to the public’s health. Moreover, it is challenging to ensure trust in a product’s supply chain, preventing counterfeit goods from being distributed throughout the network. However, fake product detection methods are expensive and need to be more scalable, whereas a unified traceability system for packaged products is not available. Therefore, this research proposes a product traceability system, named Trusted Traceability Service (TTS), using Blockchain and Self-Sovereign Identity (SSI). The TTS can be incorporated across diverse industries because of its generic and manageable four-layer product packaging strategy. Blockchain-enabled SSI empowers distributed nodes, to verify them without a centralized client–server authorization architecture. Moreover, due to its distributed nature, the proposed TTS framework is scalable and robust, with the use of web3.0 distributed application development. The adoption of Fantom, a public blockchain infrastructure, allows the proposed system to handle thousands of successful transactions more cost-effectively than the Ethereum network. The deployment of the proposed framework in both public and private blockchain networks demonstrated its superiority in execution time and number of successful transactions. Full article

This study aims to implement the concept of education for sustainable development by 2030, which can be applied in the context of hospitality education in the Asia–Pacific region. Specifically, this study focuses on achieving Sustainable Development Goal 12, which pertains to responsible consumption and production, particularly in relation to food. A case study was conducted using a learner-centered approach, wherein students, as active agents, can solve problems using professional skills such as cooking, baking, and beverage preparation. Through participant observations, students learn about sustainability, starting from natural farming and extending to banquet planning and entrepreneurship simulation in a green restaurant. The program was designed as a farm-to-table process for sustainability learning. A conceptual framework of a hospitality–health supply chain was constructed to understand how the program supports the goal of education for sustainable development for 2030—societal transformation. The study has several important implications. Students are trained to be responsible producers in a green dining setting, starting from practical classroom experiences in the kitchen of a green restaurant, which will enhance their becoming the critical human resources in the hospitality industry. This program offers a successful vocational education opportunity, teaching students how to responsibly run an enterprise with low-carbon products and services. Full article

According to the current situation of deep aging globally, how to provide low-cost and high-quality medical services has become a problem that the whole society needs to consider. To address these challenges, we propose an e-healthcare management system leveraging the integration of the Internet of Things (IoT) and blockchain technologies. Our system aims to provide comprehensive, reliable, and secure one-stop services for patients. Specifically, we introduce a blockchain-based searchable encryption scheme for decentralized storage and real-time updates of electronic health records (EHRs). This approach ensures secure and efficient data traceability across medical equipment, drug supply chains, patient health monitoring, and medical big data management. By improving information processing capabilities, our system aspires to advance the digital transformation of e-healthcare services. Full article

The integration of the Internet of Things (IoT) and Distributed Computing Systems (DCS) is transforming business models across industries. IoT devices allow immediate monitoring of equipment and processes, mitigating lost time and enhancing efficiency. In this case, manufacturing companies use IoT sensors to monitor machinery, predict failures, and schedule maintenance. Also, automation via IoT reduces manual intervention, resulting in boosted productivity in smart factories and automated supply chains. IoT devices generate this vast amount of data, which businesses analyze to gain insights into customer behavior, operational inefficiencies, and market trends. In turn, Distributed Computing Systems process this data, providing actionable insights and enabling advanced analytics and machine learning for future trend predictions. While, IoT facilitates personalized products and services by collecting data on customer preferences and usage patterns, enhancing satisfaction and loyalty, IoT devices support new customer interactions, like wearable health devices, and enable subscription-based and pay-per-use models in transportation and utilities. Conversely, real-time monitoring enhances security, as distributed systems quickly respond to threats, ensuring operational safety. It also aids regulatory compliance by providing accurate operational data. In this way, this study, through a Bibliometric Literature Review (LRSB) of 91 screened pieces of literature, aims at ascertaining to what extent the aforementioned capacities, overall, enhance business models, in terms of efficiency and effectiveness. The study concludes that those systems altogether leverage businesses, promoting competitive edge, continuous innovation, and adaptability to market dynamics. In particular, overall, the integration of both IoT and Distributed Systems in business models augments its numerous advantages: it develops smart infrastructures e.g., smart grids; edge computing that allows data processing closer to the data source e.g., autonomous vehicles; predictive analytics, by helping businesses anticipate issues e.g., to foresee equipment failures; personalized services e.g., through e-commerce platforms of personalized recommendations to users; enhanced security, while reducing the risk of centralized attacks e.g., blockchain technology, in how IoT and Distributed Computing Systems altogether impact business models. Future research avenues are suggested. Full article

Rare-earth-based permanent magnets (PMs) have a vital role in numerous sustainable energy systems, such as electrical machines (EMs). However, their production can greatly harm the environment and their supply chain monopoly presents economic threats. Alternative materials are emerging, but the use of rare-earth PMs remains dominant due to their exceptional performance. Damage to magnet structure can cause loss of performance and efficiency, and propagation of cracks in PMs can result in breaking. In this context, prolonging the service life of PMs and ensuring that they remain damage-free and suitable for re-use is important both for sustainability reasons and cost management. This paper presents a new harmonic content diagnosis and motor performance analysis caused by various magnet structure defects or faults, such as cracked or broken magnets. The proposed method is used for modeling the successive physical failure of the magnet structure in the form of crack formation, crack growth, and magnet breakage. A surface-mounted permanent magnet synchronous motor (PMSM) is studied using simulation in Ansys Maxwell software (Version 2023), and different cracks and PM faults are modeled using the two-dimensional finite element method (FEM). The frequency domain simulation results demonstrate the influence of magnet cracks and their propagation on EM performance measures, such as stator current, distribution of magnetic flux density, back EMF, flux linkage, losses, and efficiency. The results show strong potential for application in health monitoring systems, which could be used to reduce the occurrence of in-service failures, thus reducing the usage of rare-earth magnet materials as well as cost. Full article

Background: Warehousing operations, crucial to logistics and supply chain management, often seek innovative technologies to boost efficiency and reduce costs. For instance, AR devices have shown the potential to significantly reduce operational costs by up to 20% in similar industries. Therefore, this paper delves into the pivotal role of smart glasses in revolutionising warehouse effectiveness and efficiency, recognising their transformative potential. However, challenges such as employee resistance and health concerns highlight the need for a balanced trade-off between operational effectiveness and human acceptance. Methods: This study uses scenario and regression analyses to examine data from a German logistics service provider (LSP). Additionally, structured interviews with employees from various LSPs provide valuable insights into human acceptance. Results: The findings reveal that smart glasses convert dead time into value-added time, significantly enhancing the efficiency of order picking processes. Despite the economic benefits, including higher profits and competitive advantages, the lack of employee acceptance due to health concerns still needs to be addressed. Conclusions: After weighing the financial advantages against health impairments, the study recommends implementing smart glass technology in picking processes, given the current state of technical development. This study’s practical implications include guiding LSPs in technology adoption strategies, while theoretically, it adds to the body of knowledge on the human-technology interface in logistics. Full article

In recent years, the delivery of medical supplies has faced significant challenges due to natural disasters and recurrent public health emergencies. Addressing the need for improved logistics operations during such crises, this article presents an innovative approach, namely integrating vehicle and unmanned aerial vehicle (UAV) logistics to enhance the efficiency and resilience of medical supply chains. Our study introduces a dual-mode distribution framework which employs the density-based spatial clustering of applications with noise (DBSCAN) algorithm for efficiently clustering demand zones unreachable by conventional vehicles, thereby identifying areas requiring UAV delivery. Furthermore, we categorize the demand for medical supplies into two distinct sets based on vehicle accessibility, optimizing distribution routes via both UAVs and vehicles. Through comparative analysis, our findings reveal that the artificial bee colony (ABC) algorithm significantly outperforms the genetic algorithm in terms of solving efficiency, iteration counts, and delivery speed. However, the ABC algorithm’s tendency toward early local optimization and rapid convergence leads to potential stagnation in local optima. To mitigate this issue, we incorporate a simulated annealing technique into the ABC framework, culminating in a refined optimization approach which successfully overcomes the limitations of premature local optima convergence. The experimental results validate the efficacy of our enhanced algorithm, demonstrating reduced iteration counts, shorter computation times, and substantially improved solution quality over traditional logistic models. The proposed method holds promise for significantly improving the operational efficiency and service quality of the healthcare system’s logistics during critical situations. Full article

Background: Ensuring the consistent availability of essential medicines is crucial for effective healthcare systems. However, Ethiopian public health facilities have faced frequent stockouts of crucial medications, highlighting systemic challenges such as inadequate forecasting, prolonged procurement processes, a disjointed distribution system, suboptimal data quality, and a shortage of trained professionals. This study focuses on the Ethiopian Pharmaceutical Supply Services (EPSS), known for its highly unstable and volatile supply chain, aiming to identify risks and mitigation strategies. Methods: Using a mixed-method approach involving surveys and interviews, the research investigates successful and less successful strategies, key success factors, and barriers related to pharmaceutical shortages. Results: Proactive measures such as communication, stock assessment, supervision, and streamlined procurement are emphasized as vital in mitigating disruptions, while reactive strategies like safety stock may lack long-term efficacy. The study highlights the importance of aligning supply chain strategies with product uncertainties, fostering collaboration, and employing flexible designs for resilience. Managerial implications stress the need for responsive structures that integrate data quality, technology, and visibility. Conclusions: This study contributes by exploring proactive and reactive strategies, elucidating key success factors for overcoming shortages in countries with unstable supply chains, and offering actionable steps for enhancing supply chain resilience. Embracing uncertainty and implementing proactive measures can help navigate volatile environments, thereby enhancing competitiveness and sustainability. Full article

We explored the outcomes and challenges encountered during a 12-year collaborative development endeavor in Tanzania, focused on enhancing the healthcare system. The Health Promotion and System Strengthening (HPSS) project, supported by the Swiss Government and implemented by the Swiss Tropical and Public Health Institute (Swiss TPH) from 2011 to 2023, aimed to strengthen various aspects of Tanzania’s healthcare landscape. This included reforms in health insurance through the improved Community Health Fund (iCHF), the establishment of a public–private partnership to optimize the health commodity supply chain via a Prime Vendor System (Jazia PVS), the implementation of health technology management innovations, and the facilitation of participatory community and school health promotion initiatives. Operating in a multisectoral, interdisciplinary, and systemic manner, the HPSS project employed a variety of interconnected strategies, focusing on key entry points within the Tanzanian health system, starting from district level to national policies. These efforts followed a three-stages approach to reach a sustainable adoption of the innovations, going through the process of service and product innovation, integration into service delivery systems, and finally their adoption in the respective institutional policies. Each stage presented distinct frameworks and challenges, detailed in this article. The development of innovative concepts was complemented by capacity building through on-the-job training, establishment of new accredited training programs for pre-service trainings, and the development of new IT systems integrated into the governmental IT environment, as well as efforts to improve transparency, accountability, and governance. Activities in these fields were guided by operational research, following the translational approach of Swiss TPH to go from innovation and validation to application. The example of the HPSS project highlights the cycle of developing and testing innovations at the community and district level, followed by endeavoring national-level integration and policy adjustments, consequently resulting in improved service delivery at the district and community level. Full article

The application of drones to assist with healthcare delivery has grown rapidly over the last decade. This industry is supported by a growing research field, and we have undertaken a systematic review of the published literature. Web-based searches returned 290 relevant manuscripts published between 2010 and 2024. We applied Topic Modelling to this corpus of literature, which examines word association and connectedness within the research papers. The modelling identified two emerging research themes with little connection between them: those who used drones to deliver time-critical medical items and those who used drones to deliver non-time-critical medical items. The former was in response to medical emergencies, while the latter was for enhancing resilience in the healthcare supply chain. The topics within these research themes exhibited notable differences. The delivery of time-critical medical items theme comprised the topics of ‘Emergency Response’, ‘Defibrillator and Organ Delivery’, and ‘Search and Rescue’, whilst non-time-critical delivery researched the topics of ‘Supply Chain Optimisation’ and ‘Cost-Effectiveness’, ‘Overcoming Remoteness’, and ‘Pandemic Response’. Research on ‘Engineering and Design Considerations’ and ‘Ethical and Social Considerations’ cut across both research themes. We undertook further analysis to assess research topic alignment and identify knowledge gaps. We found that efforts are needed to establish a more standardised terminology for better alignment across the two emerging research themes. Future studies should focus on evaluating the impact of drone delivery on patient health using systematic methods. Additionally, exploring the economic viability of drone-based health services and addressing regulatory barriers are crucial for efficient and effective drone deployment in healthcare delivery systems. Full article

Around the world, medicinal and aromatic plants (MAPs) play a fundamental role in the economic, social, cultural, and ecological ambits of local communities. Today, the most important uses of MAPs are their applications in the pharmaceutical, perfume, cosmetics, toothpaste, soap, beverage, and food industries. At the same time, the expression MAPs is often used with a plurality of meanings that are not always clear and well-defined. Thus, the paper aims to answer two research questions: (1) to understand how the expression MAPs has been meant over time by scholars, and (2) to realize the weight that socio-economic research regarding MAPs has assumed in this context. To these ends, a literature review was conducted using the scientific database Scopus. The results highlight that researchers started talking explicitly about MAPs in the 1950s, and the geographical focus of the literature on this theme is in India, followed by China. Researchers have published studies concerning the agronomic aspects, cultivation, characterization, and germination techniques of MAPs, but the most cited articles concern the health and beneficial properties of their essential oils. At the same time, nobody has ever wondered what MAPs are, and since 1977, the World Health Organization definition has been taken for granted, and any species with medicinal or aromatic functions is considered to be a MAP. Regarding the socio-economic weight of the research conducted on MAPs, they represent only 1% of the total academic publications, but from them, it has emerged that, especially in rural areas, MAPs depict important sources of income for several local communities. At the same time, there is a need to increase the estimation of the ecosystem services that MAPs offer, the analyses of consumer preferences in the search for new business opportunities, and the environmental impact assessment of the entire supply chain. Full article

Medical devices are instrumental in servicing the healthcare sector and promoting well-being in modern societies. However, their production and use contribute significantly to greenhouse gas emissions, thus causing indirect harm to global health. With a share of approximately 4.4% of global emissions, the healthcare sector exhales CO₂ throughout its value chain; sources of this range from direct electricity consumption and water heating in healthcare facilities to the supply chains delivering healthcare services and products. Within this context, the environmental impact of medical devices is present across their production, distribution, usage, and eventual disposal. Each step in the lifecycle of medical devices consumes energy and natural resources, and the end product, after its often single use, is discarded, generating plastic or electronic waste. This study aims to present the key findings from a scoping review of academic research on the topic, which focuses on reducing the environmental impact of medical devices and equipment. The review, conducted according to the PRISMA checklist for scoping reviews, examined 41 studies and categorised them based on the lifecycle stages of medical devices (design and development, manufacturing, usage, and end of life) and the sustainability aspects (economic, environmental, and social) discussed by the authors. The findings suggest that while efforts have been made to enhance economic and environmental sustainability throughout the design, development, and usage of medical devices, there is still room for improvement in mitigating their ecological impact at the end of their lifecycle and maximising their social impact by design. Full article

The health care sector exists to support and promote human wellbeing; however, its operations contribute to environmental degradation undermining nature’s capacity to support the same wellbeing. Biodiversity loss, in particular, creates threats to wellbeing through a reduction in ecosystem service provisioning and increases in disease. This study aims to estimate the extinction-risk footprint associated with the health care sector, focusing on Europe. We created an environmentally-extended multi-region input–output model using data on the extinction risk of species available from the International Union for Conservation of Nature’s (IUCN) Red List of Threatened Species. Using input–output analysis, we then quantified the extinction-risk footprint of the Dutch health care sector and, for comparison, that of the 30 European nations which use similar sector classifications in their National Accounts reporting. We found that the Netherlands has the highest health care extinction-risk footprint on a per-capita basis and that health care contributes 4.4% of the Dutch consumption extinction-risk footprint compared with an average of 2.6% across the comparator set. Food and beverage supply chains make a disproportionate contribution to health care’s extinction-risk footprint, while supply chains implicated in the sector’s carbon footprint make a limited contribution. These results suggest that reducing the environmental impact of the health care sector may require a differentiated approach when multiple environmental indicators are considered. Full article