Abstract
The paper presents a non-traditional application of simulation modeling techniques as a decision aiding tool in determining the effectiveness of a control software algorithm in manufacturing systems. Normally software engineering methods and techniques would bring the development of a control software module to a level where certain predesigned functionality is achieved. In many cases however, such functionally will not guarantee a reliable operation of the overall system. Additionally, stochastic factors such as the randomness of workpiece arrival intervals, processing times, breakdowns, which influence the operation of the real system are not taken into account. An application in using simulation modeling techniques to evaluate the effectiveness of different control algorithm designs and structures, prior to their implementation in real systems is presented in this paper.
Chapter PDF
Similar content being viewed by others
References
Astinov, Il. (1990) Simulation modeling of machine tools and systems. PhD thesis. Technical University Sofia, Sofia.
Astinov I.L., Bopp G., Consoli A., Lalas D.P., Morgana B., Wrixon G.T. (1994) Combined Multiple Renewable Energy Sources System Simulator Facility. Proceedings of the European Wind Energy Association Conference and Exhibition (EWEC’94), Thessaloniki
Astinov Il., Ivanova D., Pavlov P, Virgili A., Leotta, Nocera V., Bopp G., Rehm M.. A. (1995); Simulating power stations driven by combined multiple renewable energy sources. International Symposium SIELA’95, Volume II, 183–188
Astinov Il., Ivanova D., Stoichkov B., Simeonov W. (1995) Simulation modeling in the control of traffic flow. Proceedings of the III National Scientific Conference “Automation in Engineering and machine tool building”, Volume 1, 73–76
Pritsker, A.A.B. (1986) Applications of simulation. Introduction to simulation and SLAM II. Halsted Press, John Wiley & Sons, New York, Chichester, Brisbane.
SLAMSYSTEM User’s Guide (1993) Pritsker Corporation
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Astinov, I., Todorov, N. (1996). Applying simulation modeling techniques for the design and assessment of control software. In: Storr, A., Jarvis, D. (eds) Software Engineering for Manufacturing Systems. IFIP — The International Federation for Information Processing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35060-8_4
Download citation
DOI: https://doi.org/10.1007/978-0-387-35060-8_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-6540-3
Online ISBN: 978-0-387-35060-8
eBook Packages: Springer Book Archive