The Methodology of Development of the Manufacturing Information Acquisition System (MIAS) for Production Management

Abstract:

The acquisition of data on the state of the production process is essential in the management of a company. The ERP system, as well as company management, should be continuously supplied with up-to-date information about the state of the production system, but in many cases there is a gap between the business and manufacturing layers of a company. Data on the state of production orders, machines, materials and human resources have to be automatically acquired, transmitted, archived, pre-processed and converted to a form compatible with business layer systems. There is a need for the development of methodology, describing methods of data acquisition and pre-processing directly from the shop floor. The methodology should be universal, covering the needs of different types of technological processes (discrete, continuous, batch), branches of industry and levels of production automation, etc. This paper presents the methodology of the development of Manufacturing Information Acquisition System (MIAS) covering needs for automated data acquisition, archiving and pre-processing systems, able to provide on-line production processes information for various clients. MIAS can be used as a link between data sources, MES/ERP systems and company management. Furthermore, it can be used as a stand-alone management information tool.

• Periodical: Applied Mechanics and Materials (Volume 474)
• Pages: 27-32
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.474.27
• Online since: January 2014
• Authors: Grzegorz Ćwikła
• Keywords: Automatic Identification Systems, Automation, Data Acquisition, Historian, MES, SCADA

References

[1] Z. Banaszak, S. Kłos, J. Mleczko, Integrated management systems (in Polish: Zintegrowane systemy zarządzania), Polskie Wydawnictwo Ekonomiczne, Warszawa (2011).

[2] A. Gwiazda, Technical project management using quality methods, Journal of Achievements in Materials and Manufacturing Engineering, 31/2 (2008), pp.739-746.

[3] M. Younus et al., MES development and significant applications in manufacturing – a review, Education Technology and Computer (ICETC'2010), 2010, Vol. 5, pp.97-101.

[4] J. Kletti (ed. ), Manufacturing Execution Systems – MES. Springer-Verlag, Berlin (2007).

[5] G. Ćwikła, B. Skołud: Characteristics of data acquisition from production systems for management purposes (in Polish: Charakterystyka akwizycji danych z systemów produkcyjnych dla potrzeb zarządzania przedsiębiorstwem), in: W. Biały, K. Midor (eds. ), Systemy Wspomagania w Inżynierii Produkcji, P.A. Nova, Gliwice 2013, pp.32-46.

[6] E. Pająk, Production management (in Polish: Zarządzanie produkcją), PWN, Warszawa (2007).

[7] C. Grabowik, D. Krenczyk, K. Kalinowski, The hybrid method of knowledge representation in a CAPP knowledge based system. Hybrid Artificial Intelligent Systems, Lecture Notes in Computer Science, Vol. 7209, 2012, pp.284-295.

DOI: 10.1007/978-3-642-28931-6_28

[8] S. El-Omari, O. Moselhi, Integrating automated data acquisition technologies for progress reporting of construction projects. Automation in Construction 20 (2011), p.699–705.

DOI: 10.1016/j.autcon.2010.12.001

[9] G. Ćwikła, Manufacturing data acquisition in non-automated production systems, in: J. Kaźmierczak (ed. ), Systems Supporting Production Engineering. Wydawnictwo P.A. Nova, Gliwice 2013, pp.63-76.