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Proceedings of the Estonian Academy of Sciences

ISSN 1736-7530 (electronic)   ISSN 1736-6046 (print)
Formerly: Proceedings of the Estonian Academy of Sciences, series Physics & Mathematics and  Chemistry
Published since 1952

Proceedings of the Estonian Academy of Sciences

ISSN 1736-7530 (electronic)   ISSN 1736-6046 (print)
Formerly: Proceedings of the Estonian Academy of Sciences, series Physics & Mathematics and  Chemistry
Published since 1952
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Workplace performance analysis: methods and a system; pp. 558–566

(Full article in PDF format) doi: 10.3176/proc.2015.4S.03


Authors

Jaak Lavin, Jüri Riives, Sergei Kaganski, Rivo Lemmik, Marko Paavel, Kaspar Koov

Abstract

A web-based workplace performance improvement system was developed for managing real-time manufacturing processes and the level of execution of the production tasks at workplaces. The system’s web aspect provides significant advantages, as the system is distributed through inter-operable, cross-platform, and highly pluggable web-service components. It is possible to estimate the effectiveness of the production process at the workplace through different key performance indicators. The main objective is to eliminate excessive idle time, but also to analyse possibilities of reducing various times involved in the manufacturing process, such as the setup time, quality control time, etc. The system was developed in cooperation with Fujitsu Services Estonia, and it is possible to integrate it with the human resources managing system PERSONA (Fujitsu Services).

Keywords

workplace performance, key performance indicators, information exchange, data management, web services, performance analysis, information system.

References

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  2. Lõun , K. , Lavin , J. , Riives , J. , and Otto , T. High per­formance workplace design model. Estonian J. Eng. , 2013 , 19 , 47–61.
http://dx.doi.org/10.3176/eng.2013.1.05

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  7. Lavin , J. , Riives , J. , Kaganski , S. , and Paavel , M. The model for improving the companys productivity and efficiency. In Proceedings of the 9-th International DAAAM Baltic Conference “Industrial Engineering”. Tallinn , 2014 , Vol. 6 , 127–132.

  8. Snatkin , A. , Karjust , K. , Majak , J. , Aruväli , T. , and Eiskop , T. Real time production monitoring system in SME. Estonian J. Eng. , 2013 , 19 , 62–75.
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  9. Riives , J. , Karjust , K. , Küttner , R. , Lemmik , R. , Koov , K. , and Lavin , J. Software development platform for integrated manufacturing engineering system. In Proceedings of the 8th International DAAAM Baltic Conference “Industrial Engineering” (Otto , T. , ed.). Tallinn University of Technology , Tallinn , 2012 , Vol. 1 , 555–560.

10. Kaganski , S. , Paavel , M. , and Lavin , J. Selecting key performance indicators with support of enterprise analyse model. In Proceedings of the 9-th Inter­national DAAAM Baltic Conference “Industrial Engineering” (Otto , T. , ed.). Tallinn University of Technology , Tallinn , 2014 , Vol. 6 , 97–102.

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19. Sondalini , M. Useful key performance indicators for maintenance. Asset Management & Maintenance Journal , 2014 , 27(4) , 25–30.

 
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Current Issue: Vol. 68, Issue 3, 2019




Publishing schedule:
No. 1: 20 March
No. 2: 20 June
No. 3: 20 September
No. 4: 20 December