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.

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 How Does Advanced Technology Solve Unreliability Under Supply Chain Management Using Game Policy?

Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1191
Author(s):  
Suman Kalyan Sardar ◽  
Biswajit Sarkar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Customer Service ◽  
Radio Frequency Identification ◽  
Optimization Technique ◽  
Advanced Technology ◽  
Chain Management ◽  
Long Time ◽  
Frequency Identification ◽  
Classical Optimization

Presently, it is essential to increase customer service such that the Supply Chain Management (SCM) can earn more profit in a sustainable manner. In the supply chain, the manufacturer and the retailer are two players who try to maintain the joint profit of the Supply Chain (SC) without only thinking about their own respective profits. However, the retailer may not provide all information to the manufacturer. This research introduces the use of the advanced technology Radio Frequency IDentification (RFID) in a retailer’s shop to obtain exact information about customer demand. A consignment policy is used to increase the manufacturer profit, and a fixed fee is offered to the retailer to generate more profit in coordination with the manufacturer. This study is conducted with and without the effect of RFID to show the benefit of SCM even when the retailer is unreliable. Both models are solved using the classical optimization technique. Numerical findings prove that SCM can benefit from the outcome of this study even for unreliability. Coordination within SCM can be maintained for a long time by using the proposed recommendations of this study.

RFID

2014 ◽  
pp. 53-64 ◽  
Author(s):  
Antti Permala ◽  
Karri Rantasila ◽  
Eetu Pilli-Sihvola ◽  
Ville Hinkka
Keyword(s):  
Radio Frequency Identification ◽  
Manufacturing Industry ◽  
Tracking System ◽  
Visual Contact ◽  
Industrial Sectors ◽  
Operational Costs ◽  
Data Content ◽  
Frequency Identification ◽  
Closed Systems

The use of RFID (Radio Frequency Identification) tracking in closed systems is replacing barcode as dominant tracking system in many industrial sectors because RFID enables reading multiple objects simultaneously without visual contact. To enlarge tracking systems to cover global supply chains, all aspects related to RFID, such as radio frequencies, data content, transmission protocols, and message sets, need to be standardised. By collecting, processing, and distributing information efficiently, organisations should be able to improve the efficiency of their transport logistics processes, lower their operational costs, and improve their portfolio of logistics services. This chapter describes the current perspectives, challenges, and benefits of RFID tracking applications in manufacturing industry. The perspectives derived from review of previous research are validated by using case study method.

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.

Integration of Value Stream Mapping with RFID, WSN and ZigBee Network

2013 ◽  
Vol 465-466 ◽  
pp. 769-773
Author(s):  
Aftab Ahmed ◽  
Khalid Hasnan ◽  
Badrul Aisham ◽  
Qadir Bakhsh
Keyword(s):  
Radio Frequency Identification ◽  
Human Error ◽  
Ieee 802.15.4 ◽  
Industrial Applications ◽  
Value Stream Mapping ◽  
Value Stream ◽  
Rfid Reader ◽  
Frequency Identification ◽  
Ieee 802.15.4 Standard ◽  
Locating System

Value stream mapping (VSM) significantly monitored by integrating radio frequency identification (RFID), wireless sensor network (WSN), ZigBee wireless technologies and Labview Graphical user interface (GUI). These technologies are used for identifying, sensing, positioning, multi-hop communication and real time locating system (RTLS). Combined effect of above technologies will optimize labor and operations cost, minimize human error; improve environmental performance and information accuracy. ZigBee protocol IEEE 802.15.4 standard has been used as wireless network in variety of commercial and industrial applications. The range of tracking of RFID reader enhanced with ZigBee coordinator through ZigBee router, which overcomes the range of radio areas that do not reach signals from the RFID reader. The proposed system provides richer information of objects location, identification and their environmental status like temperature and moisture.

Smart Reverse Supply Chain: An Application of IoT to Green Manufacturing

2011 ◽  
Vol 141 ◽  
pp. 493-497 ◽  
Author(s):  
Xue Qi Xu ◽  
Cong Jin ◽  
Yu Dong Cao
Keyword(s):  
Supply Chain ◽  
Radio Frequency Identification ◽  
Rapid Development ◽  
Green Manufacturing ◽  
Reverse Supply Chain ◽  
Frequency Identification ◽  
Integrated Architecture ◽  
Product Recycling ◽  
Real Time Information ◽  
The Internet Of Things

Reverse supply chain (RSC) management, which is oriented towards the entire lifecycle of products, has been concerned with the emerging of green manufacturing. Based on radio frequency identification (RFID), sensing and intelligent technologies, the rapid development of the Internet of things (IoT) will form a kind of smart reverse supply chain (SRSC), which is able to enhance the reverse supply chain real-time information transmission, as well as reduce the uncertainty and complexity of the product recycling process. Some problems of RSC are analyzed in this paper, and then the SRSC system network topology is proposed. Furthermore, the technical integrated architecture and related key technologies are discussed.

Sign in / Sign up

Export Citation Format

Share Document