Simulation Based Optimization for World Line Card Production System
DOI:
https://doi.org/10.11121/ijocta.01.2012.00107Keywords:
Decision Support System, Simulation Language, Simulation based OptimizationAbstract
Simulation based decision support system is one of the commonly used tool to examine complex production systems. The simulation approach provides process modules which can be adjusted with certain parameters by using data relatively easily obtainable in production process. World Line Card production system simulation is developed to evaluate the optimality of existing production line via using discrete event simulation model with variaty of alternative proposals. The current production system is analysed by a simulation model emphasizing the bottlenecks and the poorly utilized production line. Our analysis identified some improvements and efficient solutions for the existing system.Downloads
References
Varadharajan, T. K., Rajendran, C., A multi-objective simulated-annealing algorithm for scheduling in flowshops to minimize the makespan and total flow time of jobs, European Journal of Operational Research 167 772–795(2005). CrossRef
Edis, R. S., Ornek A., Simulation analysis of lot streaming in job shops with transportation queue disciplines, Simulation Modelling Practice and Theory, 17 442–453 (2009). CrossRef
Mahdavi I., Shirazi B., and Solimanpur M., Development of a simulation-based decision support system for controlling stochastic flexible job shop manufacturing systems. Simulation Modelling Practice and Theory, 18 768–786 (2010). CrossRef
Justin, B., Royce, O., Fred, G., Future of simulation optimization. In: Proceedings of the Winter Simulation Conference, Atlanta, 1466–1469 (2001).
Appelqvist, P., and Lehtonen, J–M.. Combining optimisation and simulation for steel production scheduling. Journal of Manufacturing Technology Management, 16 (2) 197-210 (2005). CrossRef
Thompson, M. B., The Marriage between Simulation & Real-time Control. APICS - The performance advantage, 8 43-46 (1993).
Yoon, H. J., and Shen, W., Simulation-based real-time decision making for manufacturing automation systems: a review. International Journal of Manufacturing Technology and Management, 8 (1) 188–202 (2006). CrossRef
Kadar, B., Pfeiffer, A., and Monostori, L., Discrete event simulation for supporting production planning and scheduling decisions in digital factories. Proceedings of the 37th CIRP International Seminar on Manufacturing Systems; Digital enterprises, production networks, Budapest, Hungary, 444-448 (2004).
Hindle, K., and Duffin, M., Simul8-planner for Composites Manufacturing. Proceedings of the Winter Simulation Conference, (2006). CrossRef
Vasudevan, K. K., Lote, R., Williams, E. J. and Ulgen, O., Iterative Use Of Simulation And Scheduling Methodologies To Improve Productivity. Proceedings of the 2008 Winter Simulation Conference, (2008). CrossRef
Appelqvist, P. and Lehtonen, J–M., Combining optimisation and simulation for steel production scheduling. Journal of Manufacturing Technology Management, 16 (2) 197-210 (2005). CrossRef
Anglani, A., Grieco, A., Pacella, M., Tolio T., Object-oriented modelling and simulation of flexible manufacturing systems: a rule-based procedure, Simulation Modelling Practice and Theory, 10 209–234 (2002). CrossRef
Andriansyah, R., Van Woensel T., Cruz, F.R.B., and Duczmal, L. Performance optimization of open zero-buffer multi-server queueing networks, Computers & Operations Research, 37 (8) 1472–1487 (2010). CrossRef
Azadeh, A., Haghnevis, M., and Khodadadegan, Y. An improved model for production systems with mixed queuing priorities: an integrated simulation, AHP and value-engineering approach, International Journal of Industrial and Systems Engineering, 4 (5) 536–553 (2009). CrossRef
Azadeh, A., Mohammadebrahim, R., Eivazy, H., Parameter optimization of tandem queue systems with ï¬nite intermediate buffers via fuzzy simulation, Performance Evaluation, 67 353–36 (2010). CrossRef
Canonaco P., Legato, P., Mazza, R.H. Musmanno, R., A queuing network model for the management of berth crane operations, Computers & Operations Research, 35 2432–2446 (2008). CrossRef
Cheung, W., Leung, L.C., and Tam, P.C.F., An intelligent decision support system for service network planning, Decision Support Systems, 39 415–428 (2005). CrossRef
Dengiz, B., Bektas, T., and Ultanir, A. E. Simulation optimization based DSS application: A diamond tool production line in industry, Simulation Modelling Practice and Theory 14 296–312 (2006). CrossRef
Xing, L. N., Chen, Y. W., Yang, K. W. Multi-objective flexible job shop schedule: design and evaluation by simulation modeling, Applied Soft Computing, 9 362–376 (2009). CrossRef
Downloads
Published
How to Cite
Issue
Section
License
Articles published in IJOCTA are made freely available online immediately upon publication, without subscription barriers to access. All articles published in this journal are licensed under the Creative Commons Attribution 4.0 International License (click here to read the full-text legal code). This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available.
Under the Creative Commons Attribution 4.0 International License, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles in IJOCTA, so long as the original authors and source are credited.
The readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
- for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
This work is licensed under a Creative Commons Attribution 4.0 International License.
