WSN based intelligent cold chain management

This paper presents a cold chain monitoring system which is implemented by using ubiquitous computing technologies, Radio Frequency Identification (RFID) & Wireless Sensor Network (WSN). In this paper, we discuss how cold supply chain works and how we can monitor and control cold supply chain by using wireless tracking and sensing technologies. We propose a prototype design which will provide a well controlled and transparent cold chain system, which could help the users to manage their products’ environmental data in real time during the life cycle. Moreover, we highlight how the availability of product trace data in combination with historical condition-monitoring data can facilitate decision-making processes enhancing supply chain’s performance. Finally we discuss the integration works of these two technologies together in the cold supply chain management system. Hardware and software platform of WSN used in this system are also described in this paper

A Review of Wireless Sensor Technologies and Applications in Agriculture and Food Industry: State of the Art and Current Trends

The aim of the present paper is to review the technical and scientific state of the art of wireless sensor technologies and standards for wireless communications in the Agri-Food sector. These technologies are very promising in several fields such as environmental monitoring, precision agriculture, cold chain control or traceability. The paper focuses on WSN (Wireless Sensor Networks) and RFID (Radio Frequency Identification), presenting the different systems available, recent developments and examples of applications, including ZigBee based WSN and passive, semi-passive and active RFID. Future trends of wireless communications in agriculture and food industry are also discussed

Review. Monitoring the intermodal, refrigerated transport of fruit using sensor networks

Most of the fruit in Europe is transported by road, but the saturation of the major arteries, the increased demand for freight transport, and environmental concerns all indicate there is a need to change this means of transport. A combination of transport modes using universal containers is one of the solutions proposed: this is known as intermodal transport. Tracking the transport of fruit in reefer containers along the supply chain is the means by which product quality can be guaranteed. The integration of emerging information technologies can now provide real-time status updates. This paper reviews the literature and the latest technologies in this area as part of a national project. Particular emphasis is placed on multiplexed digital communication technologies and wireless sensor networks

Applications of wireless sensor networks in pharmaceutical industry

Advances in wireless sensor networking have opened up new opportunities in healthcare systems. The future will see the integration of the abundance of existing specialized medical technology with pervasive, wireless networks. Radio frequency identification (RFID) and Wireless Sensor Network (WSN) are the two key elements of Pervasive computing and are considered as interrelated technologies. Although RFID has been used in various areas but it lacks intelligence that is its ability to process information and respond to real world events. People are using large scale WSN to monitor real-time environment status. RFID technology, if combined with other sensors, may enable a range of other applications that can exponentially increase visibility and monitoring. Combined with RFID a general sensor can be upgraded to intelligent wireless sensor (Smart node), having sensing, computation, communication into a single small device Field Programmable Gate Arrays (FPGA) With dazzling wireless technology now available, it's tempting for manufacturers to snatch up any wireless sensor that comes along as a means of optimizing processes and plant performance. This is especially true within the pharmaceutical industry, where vendors are plying industrial-strength wireless sensors for temperature, humidity and pressure, as well as sensitive process-monitoring wireless devices to support PAT applications. In this paper we surveyed the existing wireless sensor and RFID based technologies that target the healthcare application

A hybrid traceability technology selection approach for sustainable food supply chains

Traceability technologies have great potential to improve sustainable performance in cold food supply chains by reducing food loss. In existing approaches, traceability technologies are selected either intuitively or through a random approach, that neither considers the trade-off between multiple cost–benefit technology criteria nor systematically translates user requirements for traceability systems into the selection process. This paper presents a hybrid approach combining the fuzzy Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with integer linear programming to select the optimum traceability technologies for improving sustainable performance in cold food supply chains. The proposed methodology is applied in four case studies utilising data collected from literature and expert interviews. The proposed approach can assist decision-makers, e.g., food business operators and technology companies, to identify what combination of technologies best suits a given food supply chain scenario and reduces food loss at minimum cost.Cambridge Trust and Commonwealth Scholarship Commission

Current status and future trends of monitoring technologies for food products traceability

This study is within the activities of Project “PrunusPós - Optimization of processes for the storage, cold conservation, active and/or intelligent packaging and food quality traceability in post-harvested fruit products”, project n.º PDR2020-101-031695, Partnership n.º 87, initiative n.º 175, promoted by PDR 2020 and co-funded by FEADER within Portugal 2020.This paper presents the current status and future trends of sensor technologies for food products traceability, specifically for systems devoted to be applied in the cold storage and refrigerated transport of horticultural products. The available monitoring technologies such as dataloggers, TTI, WSN, RFID, and combined approaches are evaluated and compared in terms of dimensions, sensor parameter (temperature, relative humidity, water vapor, ethylene and other gases released during the biological processes of fruit), robustness, reliability, energy autonomy, bandwidth (if applicable), connection, among others. The aim of the study consists in evaluating how these technologies can be successfully applied for traceability of horticultural products and are what the future trends in terms of technical and technological specifications that will guide the development of these systems. It is expected that the increasing use of these systems for food traceability increases food quality and safety, reducing food waste.info:eu-repo/semantics/publishedVersio

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

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Challenges and opportunities of introducing Internet of Things and Artificial Intelligence applications into Supply Chain Management

The study examines the challenges and opportunities of introducing Artificial Intelligence (AI) and the Internet of Things (IoT) into the Supply Chain Management (SCM). This research focuses on the Logistic Management. The central research question is “What are the key challenges and opportunities of introducing AI and IoT applications into the Supply Chain Management?” The goal of this research is to collect the most appropriate literature to help create a conceptual framework, which involves the integration of the IoT and AI applications into contemporary supply chain management with the emphasis on the logistics management. Additionally, the role of 5G Network is closely studied in order to indicate its capabilities and the processing capacity that it can provide to the AI and IoT operations. In addition, the semi-structured online interview with the top managers from several companies was conducted in order to identify the degree of readiness of the companies for the AI and IoT applications in SCM. From the retrieved results, the major challenges of integrating the IoT into SCM are the security and privacy issues, the sensitivity of the data and high costs of the implementation at an initial stage. Moreover, the research results have shown that the IoT applications can positively affect the SCM activities, in particular, the high visibility across the SC, an effective traceability and an automated data collection. Furthermore, the predictive analysis of AI programs can help the SCM to eliminate the potential errors and failures in the processes.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format