Virtual Production Line Layout Modeling Using Arena Simulation Software

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This paper focuses on the feasibility on developing a simulation model of a bicarbonate beverage production line layout in a manufacturing system by identifying the factory production performance in terms of production rate, production time and production cost. The production performance of the manufacturing system was evaluated using Arena software and the analysis of the production performance values was revealed. The errors percentage for the real production line layout with simulation model was 0.26 %. The models that have been developed in this research by using the Arena software were also being validated. Based on this study,, measures production line layout can be simulated by using the Arena software enhancing the result for further improvement of factory production line layout.

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42-48

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. van der Geer, J.A.J. Hanraads, R.A. Lupton, The art of writing a scientific article, J. Sci. Commun. 163 (2000) 51-59. Reference to a book.

Google Scholar

[2] W. Strunk Jr., E.B. White, The Elements of Style, third ed., Macmillan, New York, 1979. Reference to a chapter in an edited book.

Google Scholar

[3] G.R. Mettam, L.B. Adams, How to prepare an electronic version of your article, in: B.S. Jones, R.Z. Smith (Eds. ), Introduction to the Electronic Age, E-Publishing Inc., New York, 1999, pp.281-304.

Google Scholar

[4] R.J. Ong, J.T. Dawley and P.G. Clem: submitted to Journal of Materials Research (2003).

Google Scholar

[5] P.G. Clem, M. Rodriguez, J.A. Voigt and C.S. Ashley, U.S. Patent 6, 231, 666. (2001).

Google Scholar

[6] Information on http: /www. weld. labs. gov. cn Law A. M., and Kelton D.W. Simulation Modeling and Analysis. McGraw-Hill, Inc. (2000) 128-135.

Google Scholar

[2] Rehman, A.U., Marwan, K. AOtaibi, K. A., and Mubarak, M.A. (2010). Modeling of Juice Production Line using Simulation. 2010 IEEE.

Google Scholar

[3] Harrell C., and Tumay K., Simulation Made Easy: a Manager's Guide. Industrial and management Press. (1995).

Google Scholar

[4] Iversen, W. Rockwell Aims to Plug MES Gap. (2005) www. automationworld. com/webonly-1634 accessed on 20 Mac (2011).

Google Scholar

[5] Markt and Mayer, UML Metamodel, Version 1. 1, Rational Software. USA, (1997).

Google Scholar

[6] William B. N. Taylor II manufacturing simulation software. In Proceedings of the 27th Conference on Winter Simulation, IEEE Computer Society, Washington, DC, (1995). 401–404.

Google Scholar

[7] Groover, M. P. Automation Production Systems, and Computer-Integrated Manufacturing. Pearson International Edition. Third Edition. (2008) 52-54.

Google Scholar

[8] Cochran, D.S., Kim, Y.S. and Kim, J. The Alignment of Performance Measurement with the Manufacturing System Design. First International Conference on Axiomatic Design. Massachusetts Institute of Technology. (2000).

Google Scholar

[9] Zhang, H., and Gao, C. The Research and Design of the Flexible Production (2011).

Google Scholar

[10] Chattinnawat, W. Re-Engineering Fiber Optic Production Process by Simulation, Design for Assembly Line. Proceeding of the IEEE International Conference on Industrial Engineering and Engineering Management of Innovation and Technology (2008).

DOI: 10.1109/ieem.2008.4738108

Google Scholar

[11] Balci, O. Verification, Validation and Testing. In Handbook of Simulation. J. Banks edition Georgia John Wiley and Sons, Inc, (1998). pp.335-393.

Google Scholar