Towards A Sustainable and Ethical Supply Chain Management: The Potential of IoT Solutions

Globalization has introduced many new challenges making Supply chain management (SCM) complex and huge, for which improvement is needed in many industries. The Internet of Things (IoT) has solved many problems by providing security and traceability with a promising solution for supply chain management. SCM is segregated into different processes, each requiring different types of solutions. IoT devices can solve distributed system problems by creating trustful relationships. Since the whole business industry depends on the trust between different supply chain actors, IoT can provide this trust by making the entire ecosystem much more secure, reliable, and traceable. This paper will discuss how IoT technology has solved problems related to SCM in different areas. Supply chains in different industries, from pharmaceuticals to agriculture supply chain, have different issues and require different solutions. We will discuss problems such as security, tracking, traceability, and warehouse issues. All challenges faced by independent industries regarding the supply chain and how the amalgamation of IoT with other technology will be provided with solutions.Comment: 9 page

Implementation of IoT and blockchain for temperature monitoring in COVID19 vaccine cold chain logistics

The current COVID-19 pandemic impacted globally and resulted one hundred million cases with almost two and half million death to-date. The concerns of further spread of the virus has caused the global economy to a halt when most countries globally implementing movement control. Recent approved vaccines developed by multiple fronts has shed some hoped for the recovery of the human activities back to pre-pandemic state. For Malaysia, the government has procured the vaccine from six suppliers and each vaccine require proper temperature monitoring to ensure the safety and the efficacy of the vaccines during transportation and distribution process. Effective vaccine Cold Chain Logistics (CCL) management will be required precise coordination and cooperation across multiple parties to ensure the quality of the vaccines which require temperature monitoring, distribution of records for traceability. Furthermore, the CCL process continuity is becoming critical from the handover point at Malaysia point of receipt from the manufacturer and further distribution from central storage to the two hundred vaccination center across the country. Key concerns will be the vaccines’ CCL process for remote areas in Malaysia. This paper will describe the architecture required to integrate IoT and Blockchain into the CCL management system to monitor the temperature of insulated container or cooler box. While this project may not be able to cover all the parameters it will serve an indication of the required system engineering consideration for the IoT and Blockchain application for the vaccine CCL management

A Systematic Review of Real-Time Monitoring Technologies and Its Potential Application to Reduce Food Loss and Waste: Key Elements of Food Supply Chains and IoT Technologies

Continuous monitoring of food loss and waste (FLW) is crucial for improving food security and mitigating climate change. By measuring quality parameters such as temperature and humidity, real-time sensors are technologies that can continuously monitor the quality of food and thereby help reduce FLW. While there is enough literature on sensors, there is still a lack of understanding on how, where and to what extent these sensors have been applied to monitor FLW. In this paper, a systematic review of 59 published studies focused on sensor technologies to reduce food waste in food supply chains was performed with a view to synthesising the experience and lessons learnt. This review examines two aspects of the field, namely, the type of IoT technologies applied and the characteristics of the supply chains in which it has been deployed. Supply chain characteristics according to the type of product, supply chain stage, and region were examined, while sensor technology explores the monitored parameters, communication protocols, data storage, and application layers. This article shows that, while due to their high perishability and short shelf lives, monitoring fruit and vegetables using a combination of temperature and humidity sensors is the most recurring goal of the research, there are many other applications and technologies being explored in the research space for the reduction of food waste. In addition, it was demonstrated that there is huge potential in the field, and that IoT technologies should be continually explored and applied to improve food production, management, transportation, and storage to support the cause of reducing FLW

Continuous monitoring of shelf lives of materials by application of data loggers with implemented kinetic parameters

The evaluation of the shelf life of, for example, food, pharmaceutical materials, polymers, and energetic materials at room or daily climate fluctuation temperatures requires kinetic analysis in temperature ranges which are as similar as possible to those at which the products will be stored or transported in. A comparison of the results of the evaluation of the shelf life of a propellant and a vaccine calculated by advanced kinetics and simplified 0th and 1st order kinetic models is presented. The obtained simulations show that the application of simplified kinetics or the commonly used mean kinetic temperature approach may result in an imprecise estimation of the shelf life. The implementation of the kinetic parameters obtained fromadvanced kinetic analyses into programmable data loggers allows the continuous online evaluation and display on a smartphone of the current extent of the deterioration of materials. The proposed approach is universal and can be used for any goods, any methods of shelf life determination, and any type of data loggers. Presented in this study, the continuous evaluation of the shelf life of perishable goods based on the Internet of Things (IoT) paradigm helps in the optimal storage/shipment and results in a significant decrease of waste

Cost-Effective Implementation of a Temperature Traceability System Based on Smart RFID Tags and IoT Services

[EN] This paper presents the design and validation of a traceability system, based on radio frequency identification (RFID) technology and Internet of Things (IoT) services, intended to address the interconnection and cost-implementation problems typical in traceability systems. The RFID layer integrates temperature sensors into RFID tags, to track and trace food conditions during transportation. The IoT paradigm makes it possible to connect multiple systems to the same platform, addressing interconnection problems between different technology providers. The cost-implementation issues are addressed following the Data as a Service (DaaS) billing scheme, where users pay for the data they consume and not the installed equipment, avoiding the big initial investment that these high-tech solutions commonly require. The developed system is validated in two case scenarios, one carried out in controlled laboratory conditions, monitoring chopped pumpkin. 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Sistema de baixo custo para monitoramento e alerta remoto da temperatura de medicamentos termolábeis, com base em tecnologia Edge Computing, BLE e IoT

Dissertação (mestrado) — Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, Mestrado Profissional em Engenharia Elétrica, 2022.Considerando que a saúde é um dos grandes pilares da sociedade, conjuntura reforçada pelas tragédias e a grande sequência de perdas decorrentes da pandemia de SARS-CoV-2 (COVID-19), objetiva-se desenvolver uma solução de baixo custo para facilitar o monitoramento remoto de itens termolábeis (sensíveis às variações de temperatura), evitando que recursos valiosos sejam perdidos em decorrência do desdobramento de eventos adversos. Para tanto, procede-se à pesquisa e fusão de tecnologias robustas para conceber um equipamento confiável e com melhor custo vs benefício, desenvolvendo a integração e formação da arquitetura adequada para o ambiente em questão, implementando um sistema inteligente que perceba a situação adversa e envie uma notificação ao WhatsApp do responsável, a qualquer hora do dia. Para isso, foi utilizado um microprocessador ESP-32 como concentrador e processador de dados e um termômetro Bluetooth Low Energy alimentado a bateria, com intuito de simplificar a fixação no interior dos refrigeradores sem a necessidade de fios. Desse modo, observa-se que o sistema concebido neste trabalho, atende satisfatoriamente ao pressuposto, evidenciado através de testes em laboratório, em campo e estudos estatísticos, o que permite concluir que se trata de uma solução atraente e promissora, direcionada a ajudar a cadeia do frio e o manuseio de itens termolábeis, em especial as vacinas. Principalmente por ser um sistema de alerta remoto, simples e de baixo custo, utilizando tecnologias emergentes.Considering that health is one of the great pillars of society, a situation reinforced by tragedies and the large sequence of losses resulting from the SARS-CoV-2 (COVID-19) pandemic, the objective is to develop a low-cost solution to facilitate monitoring. of thermolabile items (sensitive to temperature variations), preventing valuable resources from being lost as a result of the unfolding of adverse events. Therefore, research and fusion of robust technologies is carried out to design reliable equipment with better cost vs benefit, developing the integration and formation of the appropriate architecture for the environment in question, implementing an intelligent system that perceives the adverse situation and sends a notification to the person responsible’s WhatsApp, at any time of the day. For this, an ESP-32 microprocessor was used as a data concentrator and processor and a battery-powered Bluetooth Low Energy thermometer, in order to simplify the installation inside the refrigerators without the need for wires. In this way, it is observed that the system conceived in this work satisfactorily meets the assumption, evidenced through laboratory and field tests and statistical studies, which allows us to conclude that it is an attractive and promising solution, aimed at helping the supply chain. from the cold and the handling of thermolabile items, especially vaccines. Mainly because it is a simple and low-cost remote alert system, using emerging technologies

Internet of Things From Hype to Reality

The Internet of Things (IoT) has gained significant mindshare, let alone attention, in academia and the industry especially over the past few years. The reasons behind this interest are the potential capabilities that IoT promises to offer. On the personal level, it paints a picture of a future world where all the things in our ambient environment are connected to the Internet and seamlessly communicate with each other to operate intelligently. The ultimate goal is to enable objects around us to efficiently sense our surroundings, inexpensively communicate, and ultimately create a better environment for us: one where everyday objects act based on what we need and like without explicit instructions

Internet of Things (IoT) for Automated and Smart Applications

Internet of Things (IoT) is a recent technology paradigm that creates a global network of machines and devices that are capable of communicating with each other. Security cameras, sensors, vehicles, buildings, and software are examples of devices that can exchange data between each other. IoT is recognized as one of the most important areas of future technologies and is gaining vast recognition in a wide range of applications and fields related to smart homes and cities, military, education, hospitals, homeland security systems, transportation and autonomous connected cars, agriculture, intelligent shopping systems, and other modern technologies. This book explores the most important IoT automated and smart applications to help the reader understand the principle of using IoT in such applications

Internet of Things Applications - From Research and Innovation to Market Deployment

The book aims to provide a broad overview of various topics of Internet of Things from the research, innovation and development priorities to enabling technologies, nanoelectronics, cyber physical systems, architecture, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from technology to international cooperation and the global "state of play".The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level. Internet of Things is creating a revolutionary new paradigm, with opportunities in every industry from Health Care, Pharmaceuticals, Food and Beverage, Agriculture, Computer, Electronics Telecommunications, Automotive, Aeronautics, Transportation Energy and Retail to apply the massive potential of the IoT to achieving real-world solutions. The beneficiaries will include as well semiconductor companies, device and product companies, infrastructure software companies, application software companies, consulting companies, telecommunication and cloud service providers. IoT will create new revenues annually for these stakeholders, and potentially create substantial market share shakeups due to increased technology competition. The IoT will fuel technology innovation by creating the means for machines to communicate many different types of information with one another while contributing in the increased value of information created by the number of interconnections among things and the transformation of the processed information into knowledge shared into the Internet of Everything. The success of IoT depends strongly on enabling technology development, market acceptance and standardization, which provides interoperability, compatibility, reliability, and effective operations on a global scale. The connected devices are part of ecosystems connecting people, processes, data, and things which are communicating in the cloud using the increased storage and computing power and pushing for standardization of communication and metadata. In this context security, privacy, safety, trust have to be address by the product manufacturers through the life cycle of their products from design to the support processes. The IoT developments address the whole IoT spectrum - from devices at the edge to cloud and datacentres on the backend and everything in between, through ecosystems are created by industry, research and application stakeholders that enable real-world use cases to accelerate the Internet of Things and establish open interoperability standards and common architectures for IoT solutions. Enabling technologies such as nanoelectronics, sensors/actuators, cyber-physical systems, intelligent device management, smart gateways, telematics, smart network infrastructure, cloud computing and software technologies will create new products, new services, new interfaces by creating smart environments and smart spaces with applications ranging from Smart Cities, smart transport, buildings, energy, grid, to smart health and life. Technical topics discussed in the book include: • Introduction• Internet of Things Strategic Research and Innovation Agenda• Internet of Things in the industrial context: Time for deployment.• Integration of heterogeneous smart objects, applications and services• Evolution from device to semantic and business interoperability• Software define and virtualization of network resources• Innovation through interoperability and standardisation when everything is connected anytime at anyplace• Dynamic context-aware scalable and trust-based IoT Security, Privacy framework• Federated Cloud service management and the Internet of Things• Internet of Things Application

Personalized data analytics for internet-of-things-based health monitoring

The Internet-of-Things (IoT) has great potential to fundamentally alter the delivery of modern healthcare, enabling healthcare solutions outside the limits of conventional clinical settings. It can offer ubiquitous monitoring to at-risk population groups and allow diagnostic care, preventive care, and early intervention in everyday life. These services can have profound impacts on many aspects of health and well-being. However, this field is still at an infancy stage, and the use of IoT-based systems in real-world healthcare applications introduces new challenges. Healthcare applications necessitate satisfactory quality attributes such as reliability and accuracy due to their mission-critical nature, while at the same time, IoT-based systems mostly operate over constrained shared sensing, communication, and computing resources. There is a need to investigate this synergy between the IoT technologies and healthcare applications from a user-centered perspective. Such a study should examine the role and requirements of IoT-based systems in real-world health monitoring applications. Moreover, conventional computing architecture and data analytic approaches introduced for IoT systems are insufficient when used to target health and well-being purposes, as they are unable to overcome the limitations of IoT systems while fulfilling the needs of healthcare applications. This thesis aims to address these issues by proposing an intelligent use of data and computing resources in IoT-based systems, which can lead to a high-level performance and satisfy the stringent requirements. For this purpose, this thesis first delves into the state-of-the-art IoT-enabled healthcare systems proposed for in-home and in-hospital monitoring. The findings are analyzed and categorized into different domains from a user-centered perspective. The selection of home-based applications is focused on the monitoring of the elderly who require more remote care and support compared to other groups of people. In contrast, the hospital-based applications include the role of existing IoT in patient monitoring and hospital management systems. Then, the objectives and requirements of each domain are investigated and discussed. This thesis proposes personalized data analytic approaches to fulfill the requirements and meet the objectives of IoT-based healthcare systems. In this regard, a new computing architecture is introduced, using computing resources in different layers of IoT to provide a high level of availability and accuracy for healthcare services. This architecture allows the hierarchical partitioning of machine learning algorithms in these systems and enables an adaptive system behavior with respect to the user's condition. In addition, personalized data fusion and modeling techniques are presented, exploiting multivariate and longitudinal data in IoT systems to improve the quality attributes of healthcare applications. First, a real-time missing data resilient decision-making technique is proposed for health monitoring systems. The technique tailors various data resources in IoT systems to accurately estimate health decisions despite missing data in the monitoring. Second, a personalized model is presented, enabling variations and event detection in long-term monitoring systems. The model evaluates the sleep quality of users according to their own historical data. Finally, the performance of the computing architecture and the techniques are evaluated in this thesis using two case studies. The first case study consists of real-time arrhythmia detection in electrocardiography signals collected from patients suffering from cardiovascular diseases. The second case study is continuous maternal health monitoring during pregnancy and postpartum. It includes a real human subject trial carried out with twenty pregnant women for seven months