The Evaluation of Production Line Performance by Using ARENA – A Case Study
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
The Evaluation of Production Line Performance by Using ARENA – A Case Study

Authors: Muhammad Marsudi, Hani Shafeek

Abstract:

The purpose of this paper is to simulate the production process of a metal stamping industry and to evaluate the utilization of the production line by using ARENA simulation software. The process time and the standard time for each process of the production line is obtained from data given by the company management. Other data are collected through direct observation of the line. There are three work stations performing ten different types of processes in order to produce a single product type. Arena simulation model is then developed based on the collected data. Verification and validation are done to the Arena model, and finally the result of Arena simulation can be analyzed. It is found that utilization at each workstation will increase if batch size is increased although throughput rate remains/is kept constant. This study is very useful for the company because the company needs to improve the efficiency and utilization of its production lines.

Keywords: Arena software, case study, production line, utilization.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1087814

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 5384

References:


[1] J. S. Carson, J. Bank, and B. L. Nelson, “Discrete-event system simulation,” 3rd ed., Prentice Hall International, 1999.
[2] K. V. Nagarajan, and G. Awyzio, “Modeling and simulation of an alarm based network management system for effective SLSA monitoring and management,” in Proceeding of International Conference on Informatics, 2003.
[3] J. Heizer, and B. Render, “Production and operations management,” 2nd ed., Masachusetts: Allyn and Bacon, 1998, pp. 229-243.
[4] M. P. Groover, “Fundamentals of modern manufacturing,” 2nd ed., John Wiley & Sons, 2002.
[5] S. Robinson, “Simulation: The practice of model development and use,” John Wiley & Sons, 2003.
[6] J. Banks, “Hand Book of Simulation,” Wiley Inter Science Publications, 2007.
[7] W. D. Kelton, R. P, Sodowski, and D. T. Sturrock, “Simulation with Arena,” 4th ed., New York: Mc Graw Hill, 2007
[8] S. Hewitt, “Comparing analytical and discrete-event simulation models of manufacturing system,” Thesis Master, Institute for System Research, University of Maryland, 2002.
[9] K. V. Nagarajan, P. Vial, and G. “The use of Arena simulation software to illustrate network operations in an educational setting using case studies,” in Proceeding SCI 2003, Orlando Florida, 2003.
[10] V. Boginski, S. Butenko, and P. M. Pardalos, “Modeling and optimization in massive graphs,” Department of Industrial & System Engineering, University of Florida, 2002.
[11] K. V. Nagarajan, P. Vial, and G. Awyzio, ““Simulation of SNMPV3 traffic flow meter mib using Arena simulation modeling software.,” in Proceeding Modeling and Simulation, Marina Del Rey, USA, 2002.
[12] D. P. Connors, G. E. Feigin, and D. D. Yao, “A Queuing network model for semiconductor manufacturing,” IEEE Transactions on Semiconductor Manufacturing, 1996.
[13] J. G. Shantikumar, and J. A. Buzacott, “Open queuing network models of dynamic job shops,” International Journal of Production Research, pp. 255-266, 1981.
[14] C. W. Yang, K. S. Huang, G. Yu, and D. Y. Jan, “Using queuing theory to estimate the storage space of stocker in automated handling system,” in Proceeding Semiconductor Manufacturing Technology Workshop, 2002.
[15] K. V. Nagarajan, P. Vial, and G. Awyio. “Simulation of policy based networks through differentiated service levels using Arena simulation Software,” in Proceeding Parallel and Distributed Computing and Systems Conference, 2002.
[16] G. E. Vieira, “Ideas for modeling and simulation of supply chains with Arena,” in Proceeding of the 2004 Winter Simulation Conference, 2004.
[17] Seraj Yousef Abed, “A simulation study to increase the capacity of a rusk production line,” International Journal of Mathematics and Computers in Simulation, Issue 3, Vol. 2, pp. 228-237, 2008.
[18] W. J. Hopp, and M. L. Spearman,“To pull or not to pull: What is the question,?” in Proceeding MSOM Spring, 2004.
[19] Walid Abdul-Kader, “Capacity improvement of an unreliable production line – An analytical approach,” Computers & Operations Research Vol. 33, pp. 1695-1712, 2006.
[20] M. Gamberi, R. Gamberi, R. Gamberini, Manzini and A. I. Regattieri, “An analytical model to evaluating the implementation of a batchproduction- oriented line,” International Journal of Production Economics Vol. 111, pp. 729–740, 2008.