scholarly journals Application of RFID in the Prefabricated Timber Industry

10.29007/56mk ◽  
2018 ◽  
Author(s):  
Perry Forsythe ◽  
Brad Carey
Keyword(s):  
Inventory Control ◽  
Radio Frequency Identification ◽  
Field Trials ◽  
Wood Products ◽  
Raw Material ◽  
Timber Industry ◽  
Frequency Identification ◽  
Real Time Information ◽  
Common Application ◽  
Time Information

RFID (Radio Frequency Identification) has recently gained significant attention in various industries, whereby a common application of the technology is to gather and transmit real-time information related to inventory control and logistics. This paper develops the case for the use of RFID in the prefabricated timber industry by first examining its application in other industries. From there, the paper presents a framework for the adoption and testing of RFID within the prefabricated timber industry as a method to automate inventory control, logistics, and document control, while optimizing construction duration. The paper presents the methodology for field trials designed to determine potential for RFID applications in the prefabricated timber structure supply chain from raw material production to panel fabrication to shipping and onsite logistics and finally through to construction installation. The methodology will be tested in collaboration with industry partners and Forest and Wood Products Australia.

Key factors for the adoption of RFID in the logistics industry in Taiwan

2015 ◽  
Vol 26 (1) ◽  
pp. 61-81 ◽  
Author(s):  
Hsin-Pin Fu ◽  
Tien-Hsiang Chang ◽  
Arthur Lin ◽  
Zi-Jun Du ◽  
Kuei-Ying Hsu
Keyword(s):  
Radio Frequency Identification ◽  
Key Factors ◽  
Logistics Industry ◽  
Content Type ◽  
Importance Weighting ◽  
Analytic Hierarchical Process ◽  
Frequency Identification ◽  
Operational Errors ◽  
Real Time Information ◽  
Practical Implications

Purpose – The purpose of this study is to comprehensively examine the factors that influence the adoption of radio frequency identification (RFID) in the logistics industry in Taiwan, and to objectively identify the key factors (KFs) for successful adoption. Design/methodology/approach – First, the factors were collected from a review of the literature, and then arranged in a three-layer hierarchical table. The fuzzy analytic hierarchical process (FAHP) was then used to determine the weighting of each factor, based on the opinions of various logistics professionals. The acceptable advantage concept of VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) was then used to identify the KFs. Findings – Nine important factors were identified from the total of eighteen factors, with a total accumulative weight of 64.68 percent, and from these, four KFs were determined: meeting the demands of clients, sharing real-time information, creating advantages in overall delivery, and reducing operational errors. Practical implications – The results show that the logistics industry in Taiwan should focus on the improvement of four KFs when adopting RFID. Eight practical implications of this study are also discussed in the paper. Originality/value – This study used multi-criteria decision-making (MCDM) tools to obtain the importance (weighting) of each factor and to identify the KFs that influence the adoption of RFID. The research results can serve as a reference for the logistics industry, enabling firms to better allocate their resources when adopting RFID, and thus, to achieve a good outcome at lower cost and with greater efficiency.

scholarly journals Development of A Web-Based Information System for Material Inventory Control: The Case of An Automotive Company

2016 ◽  
Vol 10 (2) ◽  
pp. 71
Author(s):  
Renjana Setyoandara Wibisono ◽  
Tanika D Sofianti ◽  
Setijo Awibowo
Keyword(s):  
Inventory Control ◽  
User Requirements ◽  
Web Based ◽  
Safety Stocks ◽  
Bill Of Materials ◽  
Automotive Company ◽  
Real Time Information ◽  
And Control ◽  
Time Information ◽  
Planning Production

Inventory control is controlling the materials movement to fulfill the requirements. The materials can from the direct and indirect materials. the indirect materials are the materials that cannot be calculated according to the bill of materials. Indirect materials need safety stocks, so the requirements can always be fulfilled, means it need the control and monitoring of their levels. To control the movement of the materials, each department have roles to control and information that need to be shared. PT XYZ is an automotive assembler company, the company need a tool to control the indirect materials inbound and outbound and control its stock. This research is to have the tool that will be a web-based program because to share the information throughout the department of planning, production, and logistics. In developing and implementing the program itself, the RUP methodology is used to guide in doing this research with having four phases and activities that support the research. The result is the program itself have been successful to fulfilled the user requirements. The program shows the real time information for the levels of the materials and also the inbound and outbound of the materials for the user to monitor its levels.

scholarly journals The Value Proposition of RFID Technology in Tall Prefabricated Timber Buildings

2019 ◽  
pp. 181-188
Author(s):  
Perry Forsythe ◽  
Alireza Ahmadian Fard Fini ◽  
Alireza Jalali Yazdi
Keyword(s):  
Supply Chain ◽  
Radio Frequency Identification ◽  
Large Scale ◽  
Field Trials ◽  
Added Value ◽  
Value Proposition ◽  
Rfid Technology ◽  
Frequency Identification ◽  
Tracking Model ◽  
Full Benefit

The full benefit of prefabricated timber systems in the construction of multi-story buildings depends on integration and efficiency in the upstream logistics and supply chain. The purpose of this research is therefore to determine the potential value that the use of Radio-Frequency Identification technology (RFID) can contribute to the prefabricated construction of timber, and to undertake the basic development of a RFID tracking model for this purpose. The methods used in this study not only build on the knowledge gained from previous literature, but also include interviews with industry experts, field trial design and field trials. The research showed that the RFID tracking system's value proposition tends to be strongest where there are large scale and vertically integrated supply chains, logistics complexity between a limited number of discrete but partnered supply chain links and/or internal logistical complexity problems. Therefore, five distinct added value stages of RFID applications have been found in incoming delivery logistics, factory panel production, outgoing delivery logistics, on-site installation and third parties who can inspect the finished construction work. Application of RFID technology in prefabrication factory environments, where fixed readers can be used in predefined processes, was found promising. However, due to the temporary nature of the sites and the associated investment, the capacity for high automation levels is thought to be more limited on site.

scholarly journals Penerapan Metode Economical Order Quantity Untuk Sistem Stok Barang Penggudangan dengan menggunakan teknologi Radio Frequency Identification

2017 ◽  
Vol 7 (1) ◽  
pp. 59
Author(s):  
Teddy Istanto
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Raw Materials ◽  
Raw Material ◽  
Order Quantity ◽  
Safety Stock ◽  
Reorder Point ◽  
Material Usage ◽  
Frequency Identification ◽  
Radio Frequency Identification Technology

The application of Economical Order Quantity method to stock warehouse system by using Radio Frequency Identification technology can provide information that can minimize stock availability in real time.  The research aims to develop the stock system using the methods of Economical Order Quantity, Reorder Point and Radio Frequency Identification technology. Computation of Economical Order Quantity is used per month with variables covering amount of raw material, ordering cost and storage cost. Reorder Point computation using lead time variable, raw material usage and safety stock. Safety stock is used if there is a delay in delivery of goods from suppliers, so it does not run out of raw materials and the company can still operate. The inventory data is obtained from transactions of incoming and outgoing goods which are recorded automatically when passing through Radio Frequency Identification reader. The computation of Economical Order Quantity, Reorder Point produces safety stock as output stock system. With the stock of goods in accordance with the fulfillment of Safety stock, then there is no delay in the delivery of goods from suppliers, so it does not run out of raw materials, after determination of the value of re-ordering.

Radio Frequency Identification in the Smart Supply Chain

2012 ◽  
pp. 198-207 ◽  
Author(s):  
Albert Lozano-Nieto
Keyword(s):  
Supply Chain ◽  
Radio Frequency ◽  
Inventory Control ◽  
Radio Frequency Identification ◽  
New Technology ◽  
Automated Identification ◽  
Exchange Of Information ◽  
Frequency Identification

Radio Frequency Identification (RFID) is a relatively new technology that has emerged from the works of automated identification. RFID is based on the exchange of information between a device called a tag and a device called a reader after the reader queries the tag. The tags can be attached to specific items, boxes of these items, pallets of these boxes, or a combination of the previous, thus enabling the transmission of their contents. Once this information is detected and processed, it can be used as needed by the specific application. Among the different uses of RFID in the supply chain, this chapter focuses on those related to inventory control and the detection of counterfeited products.

Framework for Testing Critical Technology Systems’ Reliability in Space

2018 ◽  
Vol 2 (12) ◽  
Author(s):  
Gnanesswaran Vettrivel
Keyword(s):  
Radio Frequency ◽  
Inventory Control ◽  
Inventory Management ◽  
Radio Frequency Identification ◽  
Rfid Technology ◽  
Automatic Data ◽  
Rfid Systems ◽  
Critical Technology ◽  
Data Capturing ◽  
Frequency Identification

Radio frequency identification (RFID) system is an automatic data capturing system that relies on remotely retrieving data stored on tags using devices called readers. The National Aeronautics and Space Administration (NASA) and a team of contractors, university researchers and technology vendors collaborated to investigate the reliability of RFID systems for automated crew-free inventory control aboard the ISS. In this manuscript we detail the decade long research accomplishments and the maturity of this RFID technology that is being currently used in Space for inventory management.

scholarly journals Centralized Connectivity for Multiwireless Edge Computing and Cellular Platform: A Smart Vehicle Parking System

2018 ◽  
Vol 2018 ◽  
pp. 1-23 ◽  
Author(s):  
Aamir Shahzad ◽  
Jae-young Choi ◽  
Naixue Xiong ◽  
Young-Gab Kim ◽  
Malrey Lee
Keyword(s):  
Radio Frequency Identification ◽  
Web Application ◽  
Smart Devices ◽  
Integrated Network ◽  
Smart System ◽  
Mapping Strategy ◽  
Parking System ◽  
Frequency Identification ◽  
Real Time Information ◽  
Smart Vehicle

This study takes an intuitive step to develop the user-convenient smart vehicle parking system (SVPS), a smart system able to manage the massive crowd of vehicles during parking searching and do the better jobs of parking reservation and management, with the shorter-path processing tactics. For that, this study inclusively employed the mapping strategy, where the system parking points are prevalent, to assist the users to get the parking information fast and conveniently. This study is comprised of the several parking points systematically spread over the several locations and traceable over the available graphical map, and the overall information is easily accessible using smart devices. For parking information, a smart web application which is another important module of this study is designed, with which the SVPS system’s registered users are able to access all the services provided for smart vehicle parking searching and reservation in efficient and reliable ways. An integrated network approach, RFID (radio frequency identification) and wireless sensors network (WSN), called RF-WSN, is employed to retrieve the real-time information from the installed and configured sensor devices in RFID-WSN network.

Bringing order to chaos: How RFID can deliver business intelligence to hurricane evacuations and enhance public safety in the process

2009 ◽  
Vol 7 (5) ◽  
pp. 39
Author(s):  
David C. Wyld, DBA
Keyword(s):  
Hurricane Katrina ◽  
Business Intelligence ◽  
Radio Frequency Identification ◽  
Public Safety ◽  
Hurricane Evacuation ◽  
Public Officials ◽  
The Public ◽  
Emergency Managers ◽  
Frequency Identification ◽  
Real Time Information

In the wake of Hurricane Katrina and subsequent major hurricanes, evacuation planning and execution have taken-on a heightened level of interest from both public officials and the general public. In this article, the authors examine how radio frequency identification (RFID) can be utilized to not just facilitate mass evacuations due to hurricanes, but yield far-better, real-time information to public officials, emergency managers, and concerned family members as well. The authors begin with an overview of RFID technology. Then, the authors explore how two leading areas—the State of Texas and the City of New Orleans—have worked with private sector partners to develop, test, and actually utilize RFID-based tracking systems to be used ondemand for hurricane evacuation events. The authors then analyze the benefits of such systems for use in hurricanes and other potential mass evacuations. The authors pinpoint the public safety, operational, and business intelligence advantages of employing this new identification technology in these crisis situations.

An Intelligent Manufacturing System Based on WSN and RFID in Industrial Plants

2014 ◽  
Vol 513-517 ◽  
pp. 1256-1260 ◽  
Author(s):  
Zhong Wei Cui ◽  
Yong Zhao ◽  
Hui Yuan
Keyword(s):  
Radio Frequency Identification ◽  
Communication Systems ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Performance Testing ◽  
Intelligent Manufacturing ◽  
Industrial Plants ◽  
Intelligent Manufacturing System ◽  
Frequency Identification ◽  
Real Time Information

The intelligent manufacturing systems are in networked framework via a variety of networking communication systems integrating the heterogeneous collections of manufacturing worker, material, devices and real-time information. This paper presents a intelligent manufacturing system that is implemented by Radio Frequency Identification (RFID) and Wireless Sensor Network (WSN). The system monitors and controls with the clear objective of maximizing the Quality of Service (QoS) provided by the manufacturing resources and to analyze and make decision. This study describes the design and implementation of the system developed as well as performance testing and evaluation results, in terms of system transmission delay and energy consumption.

scholarly journals Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Aydin Azizi
Keyword(s):  
Artificial Intelligence ◽  
Radio Frequency Identification ◽  
Flexible Manufacturing ◽  
Manufacturing Industry ◽  
Optimization Technique ◽  
Industrial Applications ◽  
Probabilistic Logic ◽  
Frequency Identification ◽  
Modern Manufacturing ◽  
Real Time Information

Recent advances in modern manufacturing industries have created a great need to track and identify objects and parts by obtaining real-time information. One of the main technologies which has been utilized for this need is the Radio Frequency Identification (RFID) system. As a result of adopting this technology to the manufacturing industry environment, RFID Network Planning (RNP) has become a challenge. Mainly RNP deals with calculating the number and position of antennas which should be deployed in the RFID network to achieve full coverage of the tags that need to be read. The ultimate goal of this paper is to present and evaluate a way of modelling and optimizing nonlinear RNP problems utilizing artificial intelligence (AI) techniques. This effort has led the author to propose a novel AI algorithm, which has been named “hybrid AI optimization technique,” to perform optimization of RNP as a hard learning problem. The proposed algorithm is composed of two different optimization algorithms: Redundant Antenna Elimination (RAE) and Ring Probabilistic Logic Neural Networks (RPLNN). The proposed hybrid paradigm has been explored using a flexible manufacturing system (FMS), and results have been compared with Genetic Algorithm (GA) that demonstrates the feasibility of the proposed architecture successfully.

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