Abstract
The aim of this article is to present an analysis of the impact of ERP-APS-MES systems integration on decision-making process in the manufacturing company of global nature. As a part of the article the flow of data in the integrated ERP, APS, and MES systems and including of these data in Business Intelligence systems were analyzed. Two types of BI systems have been considered, the first classic, based on the search technologies and processing of OLAP data, the second type are the systems of “In-Memory” class. There has been also described the impact of ERP APS and MES systems integration, on the efficiency of business management at all levels: strategic, tactical and operational. The approach proposed by the authors aims to improve significantly the reliability of data. As a consequence this will reduce the risk of erroneous data used in planning and evaluation of implementation processes. According to the authors the integration of these systems will significantly increase the effectiveness of management in the manufacturing company.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
APICS: Supply chain and operations management, http://www.apics.org
Chaudhuri, S., Dayal, U., Narasayya, V.: An overview of business intelligence technology. Communications of the ACM 54, 71–100 (2011)
Gao, X., Zhang, R., Zhang, Y., Jing, S.: Research focus on MES oriented communication among enterprise informatization system. In: IEEE Asia-Pacific Services Computing Conference, pp. 365–369 (2012)
Gracel, J., Grobler-Dębska, K., Dutkiewicz, L.: Analysis of the flow of information between ERP, APS and MES systems in production management. In: Research Group Pro Futuro, pp. 825–838 (2011)
Grobler-Dębska, K., Gracel, J.: Intelligence tools by integrated erp, aps and mes systems. PAR Pomiary Automatyka Robotyka 15, 183–187 (2011)
Hvolby, H.H., Steger-Jensen, K.: Technical and industrial issues of advanced planning and scheduling (APS) systems. Computers in Industry 61, 845–851 (2010)
ISA: International society of automation, http://www.isa.org
Januszewski, A.: The functionality of Management Information Systems. Scientific Publishing PWN (2008)
Kaplan, R., Norton, D.: The strategy-focused organization: how balanced scorecard companies thrive in the new business environment. Harvard Business School (2001)
Kaplan, R., Norton, D.: Strategy maps: converting intangible assets into tangible outcomes. Harvard Business School (2004)
Liu, W., Chua, T.J., Larn, J., Wang, F.Y., Cai, T.X., Yin, X.F.: APS, ERP and MES systems integration for semiconductor backend assembly. In: 7th International Conference on Control, Automation, Robotics and Vision, pp. 1403–1408 (2002)
Madapusi, A., D’Souz, D.: The influence of ERP system implementation on the operational performance of an organization. Int J. Information Management 32(1), 24–34 (2012)
MESA: Manufacturing enterprise solutions association, http://www.mesa.org
Van Nieuwenhuyse, I., De Boeck, L., Lambrecht, M., Vandaele, N.: Advanced resource planning as a decision support module for ERP. Computers in Industry 62(1), 1–8 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Kucharska, E., Grobler-Dębska, K., Gracel, J., Jagodziński, M. (2015). Idea of Impact of ERP-APS-MES Systems Integration on the Effectiveness of Decision Making Process in Manufacturing Companies. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. BDAS 2015. Communications in Computer and Information Science, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-18422-7_49
Download citation
DOI: https://doi.org/10.1007/978-3-319-18422-7_49
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18421-0
Online ISBN: 978-3-319-18422-7
eBook Packages: Computer ScienceComputer Science (R0)