The Dynamic Software Development Process for Industrial Manufacturing System

Abstract:

Industrial technology and its engineering depend on the integration of new technical trend, devices, its application and their business management processes. It also needs to consider the various situations in their working environment. Therefore, the system software engineer has to design the manufacturing system software considering accurate user need, system software requirement and matching their process to the machine in the design level when they make or develop the system software. In this paper, we discuss and make a process model for manufacturing system software. The software process model can be dynamical arrange their module when it needs re-arrange the sub module.

• Periodical: Applied Mechanics and Materials (Volumes 300-301)
• Pages: 85-88
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.300-301.85
• Online since: February 2013
• Authors: Hwa Young Jeong, Jong Hyuk Park, Hae Gill Choi
• Keywords: Dynamic Software Process, Industrial Manufacturing System, Manufacturing System Software, System Software Design

References

[1] Abele, E., Liebeck, T., Worn, A., Measuring Flexibility in Investment Decisions for Manufacturing Systems, Annals of the CIRP, 55/1: 433-440 (2006).

DOI: 10.1016/s0007-8506(07)60452-1

[2] H. -P. Wiendahl, H.A. ElMaraghy, P. Nyhuis, M.F. Zah, H. -H. Wiendahl, N. Duffie and M. Brieke, Changeable Manufacturing - Classification, Design and Operation, Annals of the CIRP Vol. 56(2) (2007), doi: 10. 1016/j. cirp. 2007. 10. 003.

DOI: 10.1016/j.cirp.2007.10.003

[3] K. Dhinesh Kumar, L. Karunamoorthy, Hubert Roth, T.T. Mirnalinee, Computers in manufacturing: towards successful implementation of integrated automation system, Technovation 25 (2005) 477-488.

DOI: 10.1016/j.technovation.2003.09.004

[4] Muhammad Sulayman, Cathy Urquhart, Emilia Mendes, Stefan Seidel, Software process improvement success factors for small and medium Web companies: A qualitative study, Information and Software Technology 54 (2012) 479-500.

DOI: 10.1016/j.infsof.2011.12.007

[5] Jose L. Martinez Lastra, Armando W. Colombo, Engineering framework for agent-based manufacturing control, Engineering Applications of Artificial Intelligence 19 (2006) 625-640.

DOI: 10.1016/j.engappai.2005.12.015

[6] R.W. Brennan, P. Vrba, P. Tichy, A. Zoitl, C. Su¨nder, T. Strasser, V. Marik, Developments in dynamic and intelligent reconfiguration of industrial automation, Computers in Industry 59 (2008) 533-547.

DOI: 10.1016/j.compind.2008.02.001

[7] Luis Ribeiro, Jose Barata, Re-thinking diagnosis for future automation systems: An analysis of current diagnostic practices and their applicability in emerging IT based production paradigms, Computers in Industry 62 (2011) 639-659.

DOI: 10.1016/j.compind.2011.03.001

[8] Salaja Silas, Kirubakaran Ezra, Elijah Blessing Rajsingh, A novel fault tolerant service selection framework for pervasive computing, Human-centric Computing and Information Sciences 2(5) (2012).

DOI: 10.1186/2192-1962-2-5

[9] Anil Kumar Karna, Hengming Zou, Cross Comparison on C Compilers Reliability Impact, The KITCS/FTRA Journal of Convergence 1(1) (2010), 65-74.