scholarly journals UHF-RFID solutions for logistics units management in the food supply chain

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Paolo Barge ◽  
Paolo Gay ◽  
Valentina Merlino ◽  
Cristina Tortia
Keyword(s):  
Supply Chain ◽  
Radio Frequency Identification ◽  
Sugar Content ◽  
Food Product ◽  
Uhf Rfid ◽  
Production Environment ◽  
Vast Number ◽  
Performance Improvements ◽  
Transit Speed ◽  
Simultaneous Identification

The availability of systems for automatic and simultaneous identification of several items belonging to a logistics unit during production, warehousing and delivering can improve supply chain management and speed traceability controls. Radio frequency identification (RFID) is a powerful technique that potentially permits to reach this goal, but some aspects as, for instance, food product composition (e.g. moisture content, salt or sugar content) and some peculiarities of the production environment (high moisture, high/low temperatures, metallic structures) have prevented, so far, its application in food sector. In the food industry, composition and shape of items are much less regular than in other commodities sectors. In addition, a wide variety of packaging, composed by different materials, is employed. As material, size and shape of items to which the tag should be attached strongly influence the minimum power requested for tag functioning, performance improvements can be achieved only selecting suitable RF identifier for the specific combination of food product and packaging. When dealing with logistics units, the dynamic reading of a vast number of tags originates simultaneous broadcasting of signals (tag-to-tag collisions) that could affect reading rates and the overall reliability of the identification procedure. This paper reports the results of an extensive analysis of the reading performance of UHF RFID systems for multiple dynamic electronic identification of food packed products in controlled conditions. Products were considered singularly or arranged on a logistics pallet. The effects on reading rate and reading zone of different factors, among which the type of product, the number and position of antennas, the field polarization, the reader RF power output, the interrogation protocol configuration as well as the transit speed, the number of tags and their interactions were analysed and compared.

scholarly journals Passive ultra high frequency radio frequency identification systems for single-item identification in food supply chains

2017 ◽  
Vol 48 (1) ◽  
pp. 28-35
Author(s):  
Paolo Barge ◽  
Paolo Gay ◽  
Valentina Merlino ◽  
Cristina Tortia
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
High Frequency ◽  
Food Product ◽  
Vast Number ◽  
Ultra High Frequency ◽  
Size And Shape ◽  
Food Supply Chains ◽  
Performance Improvements ◽  
Frequency Identification

In the food industry, composition, size, and shape of items are much less regular than in other commodities sectors. In addition, a wide variety of packaging, composed by different materials, is employed. As material, size and shape of items to which the tag should be attached strongly influence the minimum power requested for tag functioning, performance improvements can be achieved only selecting suitable radio frequency (RF) identifiers for the specific combination of food product and packaging. When dealing with logistics units, the dynamic reading of a vast number of tags could originate simultaneous broadcasting of signals (tag-to-tag collisions) that could affect reading rates and the overall reliability of the identification procedure. This paper reports the results of an analysis of the reading performance of ultra high frequency radio frequency identification systems for multiple static and dynamic electronic identification of food packed products in controlled conditions. Products were considered when arranged on a logistics pallet. The effects on reading rate of different factors, among which the product type, the gate configuration, the field polarisation, the power output of the RF reader, the interrogation protocol configuration as well as the transit speed, the number of tags and their interactions were statistically analysed and compared.

scholarly journals Experimental Performance Evaluation of Passive UHF RFID Tags in Electromagnetically Critical Supply Chains

2011 ◽  
Vol 7 (2) ◽  
pp. 59 ◽  
Author(s):  
Luca Catarinucci ◽  
Riccardo Colella ◽  
Mario De Blasi ◽  
Luigi Patrono ◽  
Luciano Tarricone
Keyword(s):  
Supply Chain ◽  
Radio Frequency Identification ◽  
Ad Hoc ◽  
Near Field ◽  
Operating Conditions ◽  
Critical Conditions ◽  
Far Field ◽  
Uhf Rfid ◽  
Test Environment ◽  
Pharmaceutical Supply Chain

Radio Frequency Identification is going to play a veryimportant role as auto-identification solution for manyapplication scenarios, where item-level tagging and highperformance are crucial. In such a context, the use of passive Ultra High Frequency (UHF) tags is strongly suggested but, unfortunately, general-purpose commercial tags could not meet all the requirements in presence of critical operating conditions, including the presence of metals and liquids, the misalignment between tag and reader antennas, and the need of multiple reading of tags. In this paper, the main features that a UHF tag should own to work properly in the whole supply chain are presented. A tag, named below Enhanced tag, satisfying all theindividuated requirements has been also realized and validated in a controlled test environment simulating the pharmaceutical supply chain. Tests have been focused on the above-mentioned critical conditions. The performance of the Enhanced tag, in terms of successful read rate, has been compared with that of some commercial Far Field and Near Field UHF tags. The experimental results are impressive and clearly demonstrate that ad hoc Far Field UHF tags are able to effectively solve many of the performance degradation problems affecting generalpurpose tags. Finally, the proposed tag has been also tested in extreme conditions, applying it directly on Tetra Pak packages containing liquid, with interesting results in terms of platformtolerant features.

scholarly journals A Framework for Assessing the Value of RFID Implementation by Tier-One Suppliers to Major Retailers

2008 ◽  
Vol 3 (1) ◽  
pp. 55-70
Author(s):  
Dharmaraj Veeramani ◽  
Jenny Tang ◽  
Alfonso Gutierrez
Keyword(s):  
Supply Chain ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Return On Investment ◽  
Real Life ◽  
Data Capture ◽  
Automatic Identification ◽  
Rfid Technology ◽  
Frequency Identification ◽  
The Impact

Radio frequency identification (RFID) is a rapidly evolving technology for automatic identification and data capture of products. One of the barriers to the adoption of RFID by organizations is difficulty in assessing the potential return on investment (ROI). Much of the research and analyses to date of ROI in implementing RFID technology have focused on the benefits to the retailer. There is a lack of a good understanding of the impact of RFID at upper echelons of the supply chain. In this paper, we present a framework and models for assessing the value of RFID implementation by tier-one suppliers to major retailers. We also discuss our real-life application of this framework to one of Wal-Mart’s top 100 suppliers

A RFID-Based Monitoring System for Abnormal Logistics Events in Internal Material Supply Chain

2011 ◽  
Vol 179-180 ◽  
pp. 949-954 ◽  
Author(s):  
Xiao Hua Cao ◽  
Juan Wan
Keyword(s):  
Supply Chain ◽  
Monitoring System ◽  
Radio Frequency Identification ◽  
Accurate Information ◽  
Prototype System ◽  
Rfid Technology ◽  
Material Management ◽  
Production Logistics ◽  
Material Supply ◽  
Frequency Identification

Internal material supply management for manufacturing workshops usually suffers from message delay and abnormal logistics events, which seriously holdback the reactivity capability of production system. As a rapid, real-time, accurate information collection tools, Radio Frequency identification (RFID) technology has become an important driver in the production and logistics activities. This paper presents a new idea that uses RFID technology to monitor real-timely the abnormal logistics events which occur at each work space in the internal material supply chain and proposes its construction method in details. With the experimental verification of prototype system, the proposed RFID-based monitoring system can find in time the abnormal logistics events of internal material supply chain and largely improve the circulation velocity of production logistics, and reduce the rate of mistake which frequently occurred in traditional material management based on Kanban.

Deep learning approach for UHF RFID-based indoor localization

2021 ◽  
pp. 1-13
Author(s):  
Haishu Ma ◽  
Zongzheng Ma ◽  
Lixia Li ◽  
Ya Gao
Keyword(s):  
Radio Frequency Identification ◽  
Indoor Environment ◽  
Indoor Localization ◽  
Estimation Error ◽  
Research Direction ◽  
Linear Interpolation ◽  
Linear Mapping ◽  
Uhf Rfid ◽  
Indoor Location ◽  
Main Research

Due to the proliferation of the IoT devices, indoor location-based service is bringing huge business values and potentials. The positioning accuracy is restricted by the variability and complexity of the indoor environment. Radio Frequency Identification (RFID), as a key technology of the Internet of Things, has became the main research direction in the field of indoor positioning because of its non-contact, non-line-of-sight and strong anti-interference abilities. This paper proposes the deep leaning approach for RFID based indoor localization. Since the measured Received Signal Strength Indicator (RSSI) can be influenced by many indoor environment factors, Kalman filter is applied to erase the fluctuation. Furthermore, linear interpolation is adopted to increase the density of the reference tags. In order to improve the processing ability of the fingerprint database, deep neural network is adopted together with the fingerprinting method to optimize the non-linear mapping between fingerprints and indoor coordinates. The experimental results show that the proposed method achieves high accuracy with a mean estimation error of 0.347 m.

Investigation of the efficiency of beet syrup usage in products based on nutraceutical principles

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Yu Kryzhova ◽  
◽  
O Deyak ◽  
Keyword(s):  
Risk Factor ◽  
Human Health ◽  
Activity Index ◽  
Sugar Content ◽  
Control Sample ◽  
Food Product ◽  
Experimental Investigations ◽  
Energy Value ◽  
Total Sugar Content ◽  
Healthy Nutrition

The nature of nutrition is the most important factor determining human health. Proper healthy nutrition maintains health, plays an important role in preventing chronic diseases in modern humans. The level of food product quality must meet the human physiological needs for nutrients and energy, and healthy nutrition also includes the concept of the preventive effect of food, or food as a risk factor for chronic non-communicable diseases. When nutrients are in improper proportions, nutrition is considered incorrect, unhealthy, irrational, and may play a role as a risk factor for the development of human diseases. The paper substantiates the use of beet syrup and beet in ketchup technology and the benefits of the developed recipes for human health. It also covers the physicochemical composition of beet syrup, which contains 93.5% dry matter, and sugar composition and content in beet syrup: glucose, fructose, sucrose, and maltose, the total sugar content is 48.8 g/100 g that is 50.2 g/100 g less than common sugar. The ratio of prescription ingredients, established by experimental investigations on organoleptic parameters, is substantiated. The water activity index was investigated, which constituted 0.92 in the second sample, 0.93 – in the first sample, and 0.93 – in the control sample, which will have a positive effect on their shelf life. The examination of the chemical composition showed that the protein content in the first sample increased by 33%, in the second sample – by 56% compared to the control sample; the sugar content reduced by 42.7% in the first sample and by 50.6% in the second sample; the vitamin C content increased; the fiber content increased 3 times; the developed products are enriched with iron, phosphorus, and potassium. The Nutri-score calculation showed that the samples developed according to formulas №1 and №2 belong to categories A and B and are more balanced and beneficial to human health, which indicates the high nutritional value of the products. In terms of the energy value, the developed samples have an advantage over the control. The energy value (kcal/100 g) of the first sample is 100, the second sample – 89.5, and the control sample – 104.

scholarly journals Radio frequency identification technologies for livestock management and meat supply chain traceability

2013 ◽  
Vol 93 (1) ◽  
pp. 23-33 ◽  
Author(s):  
P. Barge ◽  
P. Gay ◽  
V. Merlino ◽  
C. Tortia
Keyword(s):  
Supply Chain ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Regulatory Compliance ◽  
Identification System ◽  
Traceability System ◽  
Livestock Management ◽  
Farm Type ◽  
Animal Identification ◽  
Frequency Identification

Barge, P., Gay, P., Merlino, V. and Tortia, C. 2013. Radio frequency identification technologies for livestock management and meat supply chain traceability. Can. J. Anim. Sci. 93: 23–33. Animal electronic identification could be exploited by farmers as an interesting opportunity to increase the efficiency of herd management and traceability. Although radio frequency identification (RFID) solutions for animal identification have already been envisaged, the integration of a RFID traceability system at farm level has to be carried out carefully, considering different aspects (farm type, number and species of animals, barn structure). The tag persistence on the animal after application, the tag-to-tag collisions in the case of many animals contemporarily present in the reading area of the same antenna and the barn layout play determinant roles in system reliability. The goal of this paper is to evaluate the RFID identification system performance and determine the best practice to apply these devices in livestock management. RFID systems were tested both in laboratory, on the farm and in slaughterhouses for the implementation of a traceability system with automatic animal data capture. For this purpose a complete system for animal identification and tracking, accomplishing regulatory compliance as well as supply chain management requirements, has been developed and is described in the paper. Results were encouraging for identification of calves both in farms and slaughterhouses, while in swine breeding, identification was critical for small piglets. In this case, the design of a RFID gate where tag-to-tag collisions are avoided should be envisaged.

Food product traceability and supply network integration

2009 ◽  
Vol 24 (5/6) ◽  
pp. 421-430 ◽  
Author(s):  
Per Engelseth
Keyword(s):  
Supply Chain ◽  
Conceptual Understanding ◽  
Food Product ◽  
Technical Aspect ◽  
Supply Chain Integration ◽  
Supply Network ◽  
Network Integration ◽  
Content Type ◽  
Preliminary Model ◽  
Organizational Aspect

PurposeThe purpose of this paper is to develop a more precise conceptual understanding of the interplay between food product traceability and supply network integration.Design/methodology/approachA resource‐based network approach was used to create a framework with empirical evidence from a fresh strawberry product case.FindingsA conceptual model describes product traceability as interacting with different organizational and informational resources.Research limitations/implicationsThis is a preliminary model that substantiates a cross‐functional approach teamwork‐based to developing product traceability.Originality/valueThe study shows developing food product traceability as a complex undertaking dependent on information connectivity including a technical aspect of supply chain integration, and different forms of knowledge, an organizational aspect of supply chain integration.

scholarly journals False Positive RFID Detection Using Classification Models

2019 ◽  
Vol 9 (6) ◽  
pp. 1154 ◽  
Author(s):  
Ganjar Alfian ◽  
Muhammad Syafrudin ◽  
Bohan Yoon ◽  
Jongtae Rhee
Keyword(s):  
Machine Learning ◽  
Supply Chain ◽  
Real Time ◽  
Outlier Detection ◽  
Radio Frequency Identification ◽  
False Positives ◽  
Machine Learning Algorithms ◽  
Classification Model ◽  
Automated Identification ◽  
Rfid Data

Radio frequency identification (RFID) is an automated identification technology that can be utilized to monitor product movements within a supply chain in real-time. However, one problem that occurs during RFID data capturing is false positives (i.e., tags that are accidentally detected by the reader but not of interest to the business process). This paper investigates using machine learning algorithms to filter false positives. Raw RFID data were collected based on various tagged product movements, and statistical features were extracted from the received signal strength derived from the raw RFID data. Abnormal RFID data or outliers may arise in real cases. Therefore, we utilized outlier detection models to remove outlier data. The experiment results showed that machine learning-based models successfully classified RFID readings with high accuracy, and integrating outlier detection with machine learning models improved classification accuracy. We demonstrated the proposed classification model could be applied to real-time monitoring, ensuring false positives were filtered and hence not stored in the database. The proposed model is expected to improve warehouse management systems by monitoring delivered products to other supply chain partners.

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