scholarly journals Traceability and Management Method of Supply Chain Information Based on Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Chao Liu ◽  
Tengfei Ma
Keyword(s):  
Supply Chain ◽  
Wireless Sensor Network ◽  
Information Sharing ◽  
Sensor Network ◽  
Two Dimensions ◽  
Three Dimensions ◽  
Wireless Sensor ◽  
Disturbance Management ◽  
Conducting Research ◽  
Trust Scale

Wireless sensor network is an emerging technology with broad application prospects and will play an increasingly important role in many aspects of people’s production practices. This article is aimed at conducting research on supply chain information traceability and management methods from the perspective of wireless sensor networks. This paper uses simulation methods and comparative experiment methods. From the perspective of Spanner algorithm research, the wireless sensor network technology is researched, the explanation and simplification of Spanner algorithm in supply chain information traceability are designed, and the parameters are optimized while the algorithm is optimized. Performance analysis introduced the research on supply chain disturbance management and conducted the reliability analysis of the supply chain trust scale. The experimental results show that among the three dimensions of supply chain information sharing, the reliability coefficients of the two dimensions of information sharing content and information sharing quality are 0.803 and 0.825, respectively, which are both greater than 0.8, indicating that the reliability is very good. Cronbach’s coefficient in the information sharing level dimension is equal to 0.665, which is in an acceptable range, the CITC value of this dimension is all higher than 0.4, and the value of the deleted item is lower than 0.665, so all the items of the information sharing level will also be retained. The research of supply chain information traceability and management methods based on wireless sensor network is well completed.

Wireless Sensor Network Technology and Its Application Potentials for Service Innovation in Supply Chain Management

2010 ◽  
Vol 1 (4) ◽  
pp. 30-51 ◽  
Author(s):  
Gong Li ◽  
Jing Shi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Information Technologies ◽  
Service Innovation ◽  
Wireless Sensor ◽  
Network Technology ◽  
Chain Management ◽  
The Impact

The growing awareness of the strategic value of service along with higher product performance expectations has directed many industries to adopt service centric competitive strategies in managing their supply chains. Service innovation based on currently available advanced technologies has become critical in improving enterprises’ competitive strengths. Wireless sensor network (WSN) technology, which can provide a mobile, scalable, and reliable monitoring solution, is emerging as a tool for service innovation in supply chain management. This paper provides an overview of wireless sensor network technology and discusses how it can benefit modern industries. The fundamental theories of WSN are introduced as well as an overview of the development. The impact of information technologies on supply chain management and service innovation is then briefly discussed. Much emphasis is placed on the feasibility, procedures, and critical challenges of implementing WSN in supply chain management innovation. Current and future applications of WSN are also provided, followed by a case study demonstrating the application potentials of WSN for service innovation in the healthcare industry.

Wireless Sensor Network Technology and Its Application Potentials for Service Innovation in Supply Chain Management

2012 ◽  
pp. 300-323
Author(s):  
Gong Li ◽  
Jing Shi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Information Technologies ◽  
Service Innovation ◽  
Wireless Sensor ◽  
Network Technology ◽  
Competitive Strategies ◽  
Chain Management

The growing awareness of the strategic value of service along with higher product performance expectations has directed many industries to adopt service centric competitive strategies in managing their supply chains. Service innovation based on currently available advanced technologies has become critical in improving enterprises’ competitive strengths. Wireless sensor network (WSN) technology, which can provide a mobile, scalable, and reliable monitoring solution, is emerging as a tool for service innovation in supply chain management. This paper provides an overview of wireless sensor network technology and discusses how it can benefit modern industries. The fundamental theories of WSN are introduced as well as an overview of the development. The impact of information technologies on supply chain management and service innovation is then briefly discussed. Much emphasis is placed on the feasibility, procedures, and critical challenges of implementing WSN in supply chain management innovation. Current and future applications of WSN are also provided, followed by a case study demonstrating the application potentials of WSN for service innovation in the healthcare industry.

scholarly journals A Technical and Business Perspective on Wireless Sensor Network for Manufacturing Execution System

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Wei Xu ◽  
Zhixin Yang ◽  
Xianbo Wang
Keyword(s):  
Supply Chain ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Stackelberg Games ◽  
Chain Model ◽  
Manufacturing Execution System ◽  
Business Perspective ◽  
The Impact ◽  
Manufacturing Execution

Motivated by the complex production management with difficulties in error-prone assembly system and inaccurate supply chain inventory, this paper designs a novel manufacturing execution system (MES) architecture for intelligent monitoring based on wireless sensor network (WSN). The technical perspective includes analysis on the proposed manufacturing resource mutual inductance method under active sensing network, appreciation technology of multisource information, and dynamic optimization technology for manufacturing execution processes. From business perspective, this paper elaborates the impact of RFID investment on complex product by establishing a three-stage supply chain model that involves two suppliers carrying out Stackelberg games (manufacturer and retailer). The optimal cost threshold values of technology investment are examined for both the centralized and the decentralized scenarios utilizing quantitative modeling methods. By analyzing and comparing the optimal profit with or without investment on WSN, this paper establishes a supply chain coordination and boosting model. The results of this paper have contributed significantly for one to make decision on whether RFID should be adopted among its members in supply chain. The system performance and model extension are verified via numerical analyses.

scholarly journals A Missing Sensor Data Estimation Algorithm Based on Temporal and Spatial Correlation

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Zhipeng Gao ◽  
Weijing Cheng ◽  
Xuesong Qiu ◽  
Luoming Meng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Spatial Correlation ◽  
Two Dimensions ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Estimation Methods ◽  
Data Loss ◽  
Temporal And Spatial ◽  
Data Estimation

In wireless sensor network, data loss is inevitable due to its inherent characteristics. This phenomenon is even serious in some situation which brings a big challenge to the applications of sensor data. However, the traditional data estimation methods can not be directly used in wireless sensor network and existing estimation algorithms fail to provide a satisfactory accuracy or have high complexity. To address this problem,Temporal and Spatial Correlation Algorithm(TSCA) is proposed to estimate missing data as accurately as possible in this paper. Firstly, it saves all the data sensed at the same time as a time series, and the most relevant series are selected as the analysis sample, which improves efficiency and accuracy of the algorithm significantly. Secondly, it estimates missing values from temporal and spatial dimensions. Different weights are assigned to these two dimensions. Thirdly, there are two strategies to deal with severe data loss, which improves the applicability of the algorithm. Simulation results on different sensor datasets verify that the proposed approach outperforms existing solutions in terms of estimation accuracy.

Impact of Wireless Sensor Network Technology on Service Innovation in Supply Chain Management

2012 ◽  
pp. 1574-1605
Author(s):  
Gong Li ◽  
Jing Shi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Information Technologies ◽  
Rapid Development ◽  
Service Innovation ◽  
Wireless Sensor ◽  
Network Technology ◽  
Chain Management

Driven by the rapid development of information and communication technologies (ICT) as well as today’s globally competitive environment for enterprises, service innovation has drawn considerable attention in such fields as supply chain management (SCM). Wireless sensor network (WSN) technology, which can provide a mobile, scalable, and reliable monitoring solution, has gone through rapid development in recent years. The objective of this chapter is to provide an overview about wireless sensor network technology and a discussion on how this technology can be applied to modern industries and especially bring service innovation to supply chain management. An overview of the history and potential applications of WSN is provided for the necessary background. The architecture, topology, standards, and protocols of WSN are fundamentally important and thus introduced in details. In a general sense, the impact of information technologies on supply chain management and service innovation is then briefly discussed. After that, much emphasis is placed on the possibility, procedures, and critical challenges of implementing WSN in supply chain management. In the end, two case studies are provided to illustrate the application of WSN for service innovation in both cold chain management and healthcare settings.

Impact of Wireless Sensor Network Technology on Service Innovation in Supply Chain Management

2010 ◽  
pp. 65-96
Author(s):  
Gong Li ◽  
Jing Shi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Information Technologies ◽  
Rapid Development ◽  
Service Innovation ◽  
Wireless Sensor ◽  
Network Technology ◽  
Chain Management

Driven by the rapid development of information and communication technologies (ICT) as well as today’s globally competitive environment for enterprises, service innovation has drawn considerable attention in such fields as supply chain management (SCM). Wireless sensor network (WSN) technology, which can provide a mobile, scalable, and reliable monitoring solution, has gone through rapid development in recent years. The objective of this chapter is to provide an overview about wireless sensor network technology and a discussion on how this technology can be applied to modern industries and especially bring service innovation to supply chain management. An overview of the history and potential applications of WSN is provided for the necessary background. The architecture, topology, standards, and protocols of WSN are fundamentally important and thus introduced in details. In a general sense, the impact of information technologies on supply chain management and service innovation is then briefly discussed. After that, much emphasis is placed on the possibility, procedures, and critical challenges of implementing WSN in supply chain management. In the end, two case studies are provided to illustrate the application of WSN for service innovation in both cold chain management and healthcare settings.

A calibration method of detecting soil water content based on the information-sharing in wireless sensor network

2011 ◽  
Vol 76 (2) ◽  
pp. 161-168 ◽  
Author(s):  
Rong-biao Zhang ◽  
Jing-jing Guo ◽  
Lei Zhang ◽  
Ye-cheng Zhang ◽  
Li-hong Wang ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Information Sharing ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Sensor Network ◽  
Calibration Method ◽  
Wireless Sensor

scholarly journals Optimization of Intelligent Logistics Supply Chain Management System Based on Wireless Sensor Network and RFID Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Changhong Pan ◽  
Meng Liu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Management System ◽  
Wireless Sensor ◽  
Chain Management ◽  
Supply Chain Management System ◽  
Intelligent Logistics ◽  
In Transit

Based on the in-depth study of two technologies, wireless sensor network, and RFID technology, this paper proposes a corresponding solution to the urgent storage positioning problem and the safety of goods in transit in the logistics supply chain process. And on this basis, it broadens the whole logistics process of warehousing and distribution and designs a framework of intelligent logistics supply chain management system with wireless sensor network and RFID technology to realize the management process of logistics main business. For the problems of complicated hardware wiring, the excessive number of positioning nodes and low effective coverage rate of traditional RFID-based positioning methods in large-scale warehousing environment, the integrated RFID and wireless sensor network fusion technology constructs a new movable anchor node, divides the nodes in the traditional positioning process into fixed anchors and mobile anchors, proposes a secondary positioning method, improves positioning accuracy and effective coverage rate, and provides a new positioning method for large-scale storage environment. For the transportation of goods in transit, especially precious and dangerous goods, a six-axis acceleration sensor-based method for detecting the behavioral attitude of goods in transit is proposed. Time window slicing of cargo motion data stream is performed to reduce data processing and based on the statistical features of a large amount of experimental data, and feature vectors and classifiers are analyzed and designed to achieve behavioral attitude classification of goods in transit. The experiment proves that this method has high recognition accuracy and has certain practical application value. Finally, the whole storage and distribution logistics process is integrated, the framework of intelligent logistics supply chain management system combining WSN and RFID is built based on wireless sensor network software and hardware platform, and the detailed design of logistics supply chain management system business process is mainly carried out. Combined with the two key methods proposed in this paper, the information management process of traditional logistics business such as access, storage positioning and monitoring, and distribution monitoring and management is realized, and the management system is tested on this basis. The testing effect proves that this system has certain deployment reference significance and practical application value and to a certain extent can help improve the intelligence level of logistics supply chain management and achieve the expected goal of this study.

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