DocumentCode :
135964
Title :
Application of a wireless sensor networks and Web2Py architecture for factory line production monitoring
Author :
Grisostomi, Massimo ; Ciabattoni, Lucio ; Prist, Mario ; Ippoliti, Gianluca ; Longhi, Sauro
Author_Institution :
Dipt. di Ing. dell´Inf., Univ. Politec. delle Marche, Ancona, Italy
fYear :
2014
fDate :
11-14 Feb. 2014
Firstpage :
1
Lastpage :
6
Abstract :
In this paper a wireless sensors network (WSN) has been designed according to the IEEE 1451 standard and installed in a manufacturing cell. On-line monitoring data have been collected and stored in a database through a Web2Py framework. A case study on the usage of WSN to perform an industrial performance analysis is made. A set of measures, comprehensive of all the production parameters of 4 different line productions, have been used to analyze the performances of the company. Effectiveness and reliability indexes, such as the mean time to repair (MTTR) and mean time between failures (MTBF) of the machines, overall equipment effectiveness (OEE) and the total effective equipment productivity (TEEP) have been computed and compared to the world-class manufacturing (WCM) standards.
Keywords :
IEEE standards; computerised monitoring; maintenance engineering; production engineering computing; wireless sensor networks; IEEE 1451 standard; MTBF; MTTR; OEE; TEEP; WCM standards; WSN; Web2Py architecture; database; factory line production monitoring; industrial performance analysis; manufacturing cell; mean time between failures; mean time to repair; on-line monitoring data; overall equipment effectiveness; reliability indexes; total effective equipment productivity; wireless sensors network; world-class manufacturing standards; Chirp; Metals; Postal services; Printers; Software; IEEE 1451; Web2Py; Wireless sensors network; overall equipment effectiveness; world class manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multi-Conference on Systems, Signals & Devices (SSD), 2014 11th International
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/SSD.2014.6808882
Filename :
6808882
Link To Document :
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