Conference Paper

IoT Based Tracking System For Supply Chain Management

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... Against this backdrop, Giannopoulos (2009) has advocated to "increase the intelligence of freight transport operations and make it available to all players" based on integrated technologies associated with information systems (IS). Although IoT technologies are widely used in logistics systems to enable realtime tracking, quality management, and control of supply chain operations (Chamekh et al. 2018), the application of mobile telematics and their service capabilities in the forwarding domain represents yet a nascent field. To be more precise, loading units (e.g., cargo or products on pallets) require physical and standardized freight transport assets (FTAs) (e.g., ISO containers, swap bodies, intermodal trailers) over the road, rail, and sea transport mode to facilitate freight services. ...
... Integrated data is therefore collected and shared for the purpose of monitoring, controlling, and tracking yielding more efficient decision-making and transport logistics performance managed by platform users (Ben-Daya et al. 2019). As a consequence, telematics-enabled FTAs that communicate with their environment and make partially autonomous decisions indicate data-driven intelligence of transport assets to facilitate shared freight services at the intersection of smart products, IoT, and cloud computing as demonstrated in academia (e.g., Chamekh et al. 2018;Farquharson et al. 2021). ...
... In addition, sensors are applied to measure different dynamic parameters according to the environmental conditions in which FTAs operate (e.g., temperature, humidity). Thus, in the layer sensing and actuating, RFID transponders and tags are used to track and trace objects on a freight item level (Chamekh et al. 2018;Anandhi et al. 2019) to communicate sensor data from telematics through wireless (sensor) networks (e.g., GPRS, and Wi-Fi) to an intermediary back-end system using cloud storage. Physical FTAs, therefore, exchange data with virtual objects in the next layer that are constantly updated (Verdouw et al. 2016). ...
Article
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Internet of Things (IoT) technology transforms freight transport operations by adopting novel data-driven services and enables information sharing among actors involved in global transport chains. Mobile telematics represents emerging IoT technologies for global forwarding increasingly applied to full loads conveyed by freight transport assets (FTAs) (e.g., ISO containers) facilitating intelligent services. In this light, telematics-enabled FTAs support freight transport operations utilized by individual stakeholders in three overarching service dimensions: transport management, fleet management, and risk management. This topic is, however, understudied by information systems (IS) research and service science. For this reason, we establish a design science research project, conceptualize a shared Freight Service Intelligence Platform (FSIP), and introduce freight service intelligence as an interdisciplinary research field. To this aim, we first review related literature, interview 14 transport stakeholders, and theorize six meta-requirements. Second, we propose five design principles that indicate how the meta-requirements may be associated. Third, we develop a web-based prototype application to instantiate the proposed design principles comprising performance analytics, anomaly detection, risk assessment including prediction, data exchange, communication, and IS integration. Subsequently, we evaluate the application with six transport stakeholders and logistics software vendors. Finally, we conclude with a discussion on the implications of an emerging topic addressed by this paper.
... All these gaps, such as security and privacy, can be bridged with various solutions: encryption and cryptography, digital signature schemes, anonymous identity, and location hiding solutions [22][23][24][25]. IoT, together with its advanced applications and analytical tools, enables an efficient, accurate, granular, and flexible SCM system to manage all its operations and workflows [9,16]. In short, IoT is an ultimate solution to the supply chain, a system that is fully operational and robust as according to modern demands of the current era; therefore, employing IoT solutions to SCM, organizations can save much cost that they are spending for granular and analytical data provision and are able to get direct access to their data with more accuracy and efficiency. ...
... As mentioned in [9,18], several organizations have started employing the Internet of Things (IoT) to manage and monitor the whole supply chain ecosystem, for example, by tracking and monitoring assets and supplies in real time. With IoT enabled featuring, including analytical processing, supply chain systems become more efficient, however, there have been limited intentions paid to underlying ) 8 , with information of location coordinates via ( ) 9 , and uploads to the IoT-SC controller. ...
... Further, to examine the security in the SCM system, the analytics and evaluation methods, such as neutrosophic Decision Making Trial and Evaluation Laboratory (N-DEMATEL), are used [4,28]. Supply chain management is considered a complex system compared to other ICT systems, as it is comprising several entities and operations in the supply chain [9]. Further, the complex structure of SCM and its interconnectivity through IoT, the possibility of threats, and risks, therefore, will be large [17]. ...
Article
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Undoubtedly, the supply chain management (SCM) system is an important part of many organizations worldwide; over time, the technologies used to manage a supply chain ecosystem have, therefore, a great impact on businesses’ effectiveness. Among others, numerous developments have been made that targeted to have robust supply chain systems to efficiently manage the growing demands of various supplies, considering the underlying requirements and main challenges such as scalability, specifically privacy and security, of various business networks. Internet of things (IoT) comes with a solution to manage a complex, scalable supply chain system, but to provide and attain enough security during information exchange, along with keeping the privacy of its users, is the great inherent challenge of IoT. To fulfill these limitations, this study designs and models a scaled IoT-based supply chain (IoT-SC) system, comprising several operations and participants, and deploys mechanisms to leverage the security, mainly confidentially, integrity, authentication (CIA), and a digital signature scheme to leverage potentially secured non-repudiation security service for the worst-case scenario, and to leverage privacy to keep users sensitive personal and location information protected against adversarial entities to the IoT-SC system. Indeed, a scaled IoT-SC system certainly opens new challenges to manage privacy and security while communicating. Therefore, in the IoT-SC system, each transaction writes from edge computing nodes to the IoT-SC controller is thoroughly examined to ensure the proposed solutions in bi-directional communication, and their robustness against adversarial behaviors. Future research works, employing blockchain and its integrations, are detailed as paces to accelerate the privacy and security of the IoT-SC system, for example, migrating IoT-centric computing to an immutable, decentralized platform.
... IT progresses provide technical solutions for diversified tracing or tracking demands. Traceability nowadays begins to be implemented based on IoT and blockchain platforms (Chamekh et al., 2019;Hastig and Sodhi, 2020). The upgrade of technology foundation further enhances transparency and makes traceability more powerful in overcoming information processing bottlenecks (Chamekh et al., 2019;Marucheck et al., 2011). ...
... Traceability nowadays begins to be implemented based on IoT and blockchain platforms (Chamekh et al., 2019;Hastig and Sodhi, 2020). The upgrade of technology foundation further enhances transparency and makes traceability more powerful in overcoming information processing bottlenecks (Chamekh et al., 2019;Marucheck et al., 2011). However, utilizing advanced traceability technologies may experience several complicated stages to fully fulfill firms' expectation (Basole and Nowak, 2018). ...
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Operational innovation is effective in overcoming supply chain challenges and achieving superior performance. In this study, we build on the socio-technical system (STS) perspective to explore operational innovation in the supply chain context. Specifically, a system comprising traceability and supply chain coordination (SCC) is proposed as a type of Internet-based operational innovation. Survey data of manufacturing firms were analyzed by a configuration approach. Three clusters of firms were identified with distinct configurations of traceability and SCC. As predicted by the STS perspective, firms can realize operational innovation by matching traceability and SCC properly, thereby achieving superior operational performance and customer satisfaction. Our findings expand the understanding of operational innovation in the supply chain context. This study contributes to the literature of operational innovation, STS and supply chain management. Managerial implications about operational innovation in Internet-based supply chain management are provided.
... Chamekh et al discuss an IoT-based tracking system for SCM. 9 Another work 10 discusses the suggestions for the roll-out of the IoT in SCM tasks. This method focuses on the quality assurance and quality of experience which are generated from the data collection and consumption. ...
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Industrial Internet of Things (IIoT) is a very effective and efficient way to track products during their production, packaging, storage, and shipments. It can also help in monitoring their real‐time conditions such as location, speed of moments, and temperature. Presently most of the supply chain management systems are not effective due to their inefficient tracking of real‐time shipments, long delays in shipments and lost identification on a real‐time basis, and uneconomical storage of goods. To solve these problems, an IoT‐based secure and sustainable smart supply chain system using sensor networks is proposed that provides real‐time shipment tracking, storage, delay, and lost identification. Threshold‐based weighted probability formula is devised by considering the average distance and node spacing of sensor nodes, total network energy, residual, and maximum energy parameters to alleviate the hot spot problem. Additionally, the communication signals are transmitted in compression form with end‐to‐end encryption that reduces the use of bandwidth by decreasing the signal size. The percentage increment in the stability and the network lifespan of the proposed method is 35.19% and 7.23% & 119.33% and 71.72% as compared to the T. Senthil et al method and S. Singh's method, respectively.
Chapter
The Internet of Things is a system of interrelated computing devices supported by cloud platforms. Objects, people, etc., which are assigned a sensor tag, are provided with unique identifiers and the ability to transfer sensed data over a wireless network without requiring human-to-human/−computer interaction. The IoT-based smart health monitoring system has a very important role in the telemedicine concept for mankind. The basic function of IoT for health is to store, display, and communicate the patient’s health data. So e-health monitoring system with IoT support is used for distant patient’s health monitoring on a regular basis and instant decision-making for the treatment. It is very useful in the field of e-smart health management for rural or urban patients.Keywordse-health monitoringIoT SystemMiddleware architectureLinkIt ONE
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