Supply Chain processes are continuously marred by myriad factors including varying demands, changing routes, major disruptions, and compliance issues. Therefore, supply chains require monitoring and ...ongoing optimization. Data science uses real-time data to provide analytical insights, leading to automation and improved decision making. RFID is an ideal technology to source big data, particularly in supply chains, because RFID tags are consumed across supply chain process, which includes scanning raw materials, completing products, transporting goods, and storing products, with accuracy and speed. This study carries out a systematic literature review of research articles published during the timeline (2000-2021) that discuss the role of RFID technology in developing decision support systems that optimize supply chains in light of Industry 4.0. Furthermore, the study offers recommendations on operational efficiency of supply chains while reducing the costs of implementing the RFID technology. The core contribution of this paper is its analysis and evaluation of various RFID implementation methods in supply chains with the aim of saving time effectively and achieving cost efficiencies.
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•The sensor in this paper has high sensitivity for temperature and humidity measurement.•This temperature and humidity sensor has low cost and is easy to popularize.•The proposed ...sensor tag can work passively and is suitable for long-term use.
Due to its convenience and affordability, chipless RFID technology has become increasingly popular for detecting environmental temperature and humidity. This paper presents a wireless chipless RFID sensor for measuring temperature and humidity. The sensor utilizes a composite material consisting of Fe2O3-Co3O4、SnO2、and rGO to achieve accurate detection of both temperature and humidity. We investigated the change of RFID resonance frequency under different temperature and humidity variations. The temperature and humidity sensitive material is coated on the surface of the antenna by spinning coating machine. The combined structure of nanoparticle-attached rods of Fe2O3-Co3O4, granular clusters of SnO2 and flakes of rGO enhances the sensor’s sensitivity to temperature and humidity measurements. The sensitivity of the temperature and humidity sensor is approximately-0.293 MHz/°C and −2.12 dB/°C during a change in ambient temperature from 10 °C to 85 °C, and approximately −2.11 MHz/°C and 0.19 dB/%RH during a change in humidity from 10 %RH to 65 %RH at normal ambient temperature. The response time of the temperature and humidity sensor to temperature and humidity changes is 15.3 s and 10.1 s, and the recovery time is 21.7 s and 17.5 s, respectively. The wireless chipless RFID sensor has good sensitivity and responsiveness for temperature and humidity measurements.
The pivotal shift from single-use to reusable packaging has recently challenged the concept of packaging ownership. Extant literature have studied supply chain systems using reusable packaging for ...bundling (known as secondary packaging) or transportation (known as tertiary packaging) of products. Although using reusable packaging for containing products (known as primary packaging) has been tested by more than two dozen of the world's biggest brands (e.g., Nestlé, PepsiCo, and Procter & Gamble), it has not received much attention in studies concerning supply chain systems yet. In this paper, we aim to review the extant literature in light of (1) the environmental and economic costs of reusable packaging, (2) the design of reusable packaging logistics systems, and (3) the implications of operations management for reusable packaging. Based on our analysis of existing studies, we then deliver insights and potential opportunities for future research on reusable packaging.
RFID (Radio Frequency Identification) technology has considerably grown in the past few years and is nowadays sought to be implemented for the identification of products and for traceability in the ...agrifood sector, ensuring food safety and quality. RFID is now considered as the worthy successor of the barcode with a foreseen expansion not only in the agrifood sector, but also in industrial sectors for environmental monitoring (temperature, relative humidity and luminosity) through namely WSN (Wireless Sensor Network) and WST (Wireless Sensor Technology). Research studies are being progressively performed in the objective of coupling sensors to the RFID technology. This interfacing would lead to a better monitoring of packaging headspace by means of the development of different sensors, as well as their coupling to RFID tags through the microchip or directly to the RFID antenna. The present work gives an overview of the basics of the RFID technology, the existing sensors and the ones being developed to be interfaced with the technology, as well as the existing RFID sensor tags. The presented literature studies, mainly in the agrifood sector, demonstrate how RFID may meet our needs for a better monitoring of food quality by coupling radio frequency communication and traceability. The implementation of sensors which is a very new technology being studied and concomitantly developed may lead to a better detection of food degradation markers and thus to a reduction in food loss which is one of the world's major issue.
•Novel study based on RFID tags to be coupled to sensors.•Passive and active RFID systems.•Study of different types of sensors.•RFID sensor tags in food industry for traceability.•Food monitoring for safety.
Purpose
The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the SCRM ...process, as well as the internal and external pathway and the outcome of SCRM are examined.
Design/methodology/approach
This study adopts a multiple case study methodology with twelve companies from the manufacturing industry. This study is guided by the information processing theory (IPT) and a theory-grounded research framework to provide insights into information requirements and information processing capabilities for IoT-supported SCRM.
Findings
The studied cases demonstrate an increase in data availability in the companies that contribute to improved process transparency and process management. Furthermore, the process steps, risk transparency, risk knowledge and risk strategies have been enhanced, which enabled improved SCRM performance by fitting information requirements and information processing capabilities, thus allowing for competitive advantage.
Practical implications
This study offers in-depth insights for SCRM managers into the structure of IoT systems, primary use cases and changes for the process itself. Furthermore, implications for employees, incentives and barriers are identified, which could be used to redesign SCRM.
Originality/value
This study addresses the requirement for additional empirical research on technology-enhanced SCRM, supported by IPT as a theoretical foundation. The radical change of SCRM by IoT is demonstrated while discussing the human role, implications for SCRM strategies and identifying relevant topics for future development.
In this paper, the results of a short-term tracing experiment carried out at a beach compartment along the Bay of Nice (southern France) are presented. Nice urban beach is characterized by persistent ...offshore sediment loss issues that force the local administration to operate frequent artificial replenishments to maintain the current configuration, which also protects the well-renown Promenade des Anglais from high-energy events. As beach refills are quite expensive, the aim of the paper is to provide novel insights about the transport processes of pebble-sized tracers, which might support the Municipality to better adjust future interventions. Pebbles were tracked by means of the Radio Frequency Identification technology, largely used in such settings because of its reliability and efficiency. In addition, the morphology of the beach was monitored during the three-days-long experiment by airborne and ground topographic surveys, as well as the shape and the size of the tracers. Finally, a wave model was produced to simulate wave propagation in the nearshore, which validates the observed transport patterns. The results documented a low recovery rate (56%) 4 h after tracer injection, which is uncharacteristic considering that it jumped to 91% after the second survey, 24 h after the injection. At the end of the experiment (48 h), the recovery rate sank to 14%. These data were adequate to identify a few trends in pebble transport: tracer recovery rate in the swash zone was very low, while many marked pebbles were found at the step crest. Although this transport pattern may corroborate the offshore movement of the sediments, the topographic surveys revealed the destruction and re-formation of the fair-weather berm overnight, which would imply the presence of a shoreward transport under low energy wave conditions. While size did not single out any tendency, shape did: spheres rolled down the beachface earlier than disks; by contrast, disk-shaped pebbles moved for longer distances than spheres. These findings will be useful for local coastal managers because next beach fills will be planned and optimized based on the observed transport patterns. Though the selection of disk-shaped pebbles implies increasing costs, replenishments would be more efficient and fine-tuned for this sector of coast, which would ultimately save resources reducing negative impacts on the environment along the way. These considerations are valid for the Bay of Nice, but they might be useful wherever coarse-clastic beaches need recurring replenishments.
The next generation of the Internet of Things will rely heavily on RFID and sensor technology. Compared to existing systems, the development of various RFID and sensor technologies is expected to ...increase IoT applications, especially in the field of healthcare. This research summarizes the fundamentals of the Internet of Things (IoT) based RFID technology. RFID sensors are critically compared by separating them into near-field and far-field configurations. The two categories are then analyzed for their operating mechanism. RFID sensing via tags equipped with chips is now a sophisticated technological device that continuously increases its presence in the market and several application scenarios; therefore, adopting RFID tag sensors for healthcare applications is discussed in this work. The advantages and limitations of several IoT-based RFID configurations for healthcare are reviewed. In addition, a summary of the most appropriate application scenarios of the RFID sensors is then illustrated. Finally, a look at overall machine learning (ML) satisfactory solutions for RFID antenna design is highlighted.
In GPS-denied indoor environments, localization and tracking of people can be achieved with a mobile device such as a smartphone by processing the received signal strength (RSS) of RF signals emitted ...from known location beacons (anchor nodes), combined with Pedestrian Dead Reckoning (PDR) estimates of the user motion. An enhacement of this localization technique is feasible if the users themselves carry additional RF emitters (mobile nodes), and the cooperative position estimates of a group of persons incorporate the RSS measurements exchanged between users. We propose a centralized cooperative particle filter (PF) formulation over the joint state of all users that permits to process RSS measurements from both anchor and mobile emitters, as well as PDR motion estimates and map information (if available) to increase the overall positioning accuracy, particularly in regions with low density of anchor nodes. Smartphones are used as a convenient mobile platform for sensor measurements acquisition, low-level processing, and data transmission to a central unit, where cooperative localization processing takes place. The cooperative method is experimentally demonstrated with four users moving in an area of 1600 m 2 , with 7 anchor nodes comprised of active RFID (radio frequency identification) tags, and additional mobile tags carried by each user. Due to the limited coverage provided by the anchor beacons, RSS-based individual localization is inaccurate (6.1 m median error), but this improves to 4.9 m median error with the cooperative PF. Further gains are produced if the PDR information is added to the filter: median error of 3.1 m (individual) and 2.6 m (cooperative); and if map information is also considered, the results are 1.8 m (individual) and 1.6 m (cooperative). Thus, for each version of the particle filter, cooperative localization outperforms individual localization in terms of positioning accuracy.
The rapid growth of online marketplaces and the advance of Internet technology have enabled manufacturers to more easily engage in direct selling through their own online stores. However, as any ...retail channel suffers misplacements, the manufacturer's direct sales channel will also face a critical inventory misplacement problem if it chooses encroachment. Radio-frequency identification (RFID) proven to be the most effective technology to eliminate the inventory misplacement problem. This paper investigates the strategic interaction between manufacturer encroachment and RFID deployment decisions in a supply chain consisting of a manufacturer and a reseller. We find that the manufacturers' encroachment strategies are determined by channels' misplacement rates, RFID deployment decisions and channel competition intensity. Specifically, the retail (direct) channel's misplacement problem encourages (discourages) the manufacturer to encroach; in addition, if only the retail (if it is direct) channel employs RFID, the encroachment cost threshold increases (decreases) with the RFID tag price; moreover, the more intense the channel competition is, the less likely the manufacturer will be to encroach. Further, when encroachment has occurred, channel competition will be a crucial factor in the direct channel's RFID deployment decision, but it will not affect the deployment of RFID in the retail channel.
This paper proposes a global indoor localization system based on the radio frequency identification (RFID) technology. A reader, installed on the robot, measures the received signal strength ...indication (RSSI) and the phase shift of UHF-RFID signals coming from a set of passive tags deployed on the ceiling of the environment. The position of the tags in the environment is only roughly known at the beginning. Exploiting the complementary features of RSSI and phase-shift information in RFID signals (together with odometry data), a multihypothesis extended and unscented Kalman filter is proposed to localize the robot and to simultaneously improve the initial estimate on the tag coordinates. The simulative and experimental results are reported to illustrate the effectiveness of the proposed approach.
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