A big data approach for logistics trajectory discovery from RFID-enabled production data
نویسندگان
چکیده
Radio frequency identification (RFID) has been widely used in supporting the logistics management on manufacturing shopfloors where production resources attached with RFID facilities are converted into smart manufacturing objects (SMOs) which are able to sense, interact, and reason to create a ubiquitous environment. Within such environment, enormous data could be collected and used for supporting further decision-makings such as logistics planning and scheduling. This paper proposes a holistic Big Data approach to excavate frequent trajectory from massive RFID-enabled shopfloor logistics data with several innovations highlighted. Firstly, RFID-Cuboids are creatively introduced to establish a data warehouse so that the RFIDenabled logistics data could be highly integrated in terms of tuples, logic, and operations. Secondly, a Map Table is used for linking various cuboids so that information granularity could be enhanced and dataset volume could be reduced. Thirdly, spatio-temporal sequential logistics trajectory is defined and excavated so that the logistics operators and machines could be evaluated quantitatively. Finally, key findings from the experimental results and insights from the observations are summarized as managerial implications, which are able to guide end-users to carry out associated decisions. & 2015 Elsevier B.V. All rights reserved.
منابع مشابه
Design of RFID-Enabled Aircraft Reverse Logistics Network Simulation
complies with the regulations of the University and meets the acceptable standards with respect to originality and quality. Abstract Design of RFID-enabled Aircraft Reverse Logistics Network Simulation Kehinde Oluyemisi Adetiloye The reverse logistics (RL) of aircrafts pose a big challenge to its owners due to the complexity of its RL network, and the inherit problems of realizing a reliable sy...
متن کاملData Management in RFID Applications
Nowadays, RFID applications have attracted a great deal of interest due to their increasing adoptions in supply chain management, logistics and security. They have posed many new challenges to existing underlying database technologies, such as the requirements of supporting big volume data, preserving data transition path and handling new types of queries. In this paper, we propose an efficient...
متن کاملPerceived Usefulness of RFID-enabled Information Services - A Systematic Approach
Even though RFID technology is currently gaining importance mainly in logistics, usage areas, such as shopping or after-sales enhancements beyond the supply chain are envisioned. Yet, while RFID hits the street it is questioned if it may undermine one’s privacy while providing few customer benefits. Meeting this criticism this paper investigates RFID-enabled information services and the drivers...
متن کاملSurvey on Perception of People Regarding Utilization of Computer Science & Information Technology in Manipulation of Big Data, Disease Detection & Drug Discovery
this research explores the manipulation of biomedical big data and diseases detection using automated computing mechanisms. As efficient and cost effective way to discover disease and drug is important for a society so computer aided automated system is a must. This paper aims to understand the importance of computer aided automated system among the people. The analysis result from collected da...
متن کاملAutomatic Monitoring of Logistics Processes using Distributed RFID based Event Data
Decreasing sizes and a static decline in production costs are fostering the use of RFID tags and sensors in cross-company logistics networks. Additionally, the EPCIS specification comprises interface standards for capturing and querying RFID based event data and storing it in a standardized data format. This contribution examines the potential of the given technological means for the automatic ...
متن کامل