Characterization of Manufacturing System Computer Simulation using Taguchi Method
DOI:
https://doi.org/10.11113/jt.v72.3919Keywords:
Computer simulation, Taguchi Method, productivity improvement, manufacturing system, case studyAbstract
In the manufacturing industry, managers and engineers are trying to sustain their competitiveness by achieving high output and productivity. There are some common problems such as waiting times, failures, reworks in production line that impose extra cost to the companies. Therefore, companies are striving to find methods in order to determine and deal with problems using different methods such as mathematical, statistical and computer simulation. The goal of this paper is to increase the total output production and to improve productivity using computer simulation and Taguchi method. This paper introduces a color manufacturing line as a case study which is simulated using arena 13.9 software. Following that the Taguchi method is applied to assess the effect of controllable and uncontrollable factors on the total output production. According to the result of JMP 10 software to conduct Taguchi experiment, the maximum desirability of productivity will be achieved when the value of factors such service rate of delpak machine=UNIF (30, 40), number of labor=14, inspection time=120 and number of Permil=5. Taguchi Method plays an efficient and suitable role in the process improvement, proposing adjustments that will provide an improvement in the productivity.Â
References
Bargshady, G., Alipanah, F., Abdulrazzaq, A. W., & Chukwunonso, F. 2014. Business Inteligence Technology Implimentation Readiness Factors. Jurnal Teknologi. 68(3): 7–12.
Zahraee, S. M., Golroudbary, S. R., Hashemi, A., Afshar, J., & Haghighi, M. 2014. Simulation of Manufacturing Production Line Based on Arena. In Advanced Materials Research. 933: 744–748.
Zahraee, S. M., Hashemi, A., Abdi, A. A., Shahpanah, A., & Rohani, J. M. 2014. Lean Manufacturing Implementation Through Value Stream Mapping: A Case Study. Jurnal Teknologi. 68(3): 119–124.
Shahpanah, A., Hashemi, A., Nouredin, G., Zahraee, S. M., & Helmi, S. A. 2014. Reduction of Ship Waiting Time at Port Container Terminal Through Enhancement of the Tug/Pilot Machine Operation. Jurnal Teknologi. 68(3): 63–66.
Shahpanah, A., Poursafary, S., Shariatmadari, S., Gholamkhasi, A., & Zahraee, S. M. 2014. Optimization Waiting Time at Berthing Area of Port Container Terminal with Hybrid Genetic Algorithm (GA) and Artificial Neural Network (ANN). Advanced Materials Research. 902: 431–436.
Memari, A., Zahraee, S. M., Anjomanshoae, A., & Rahim, A. R. B. A. (2013). Performance Assessment in a Production-Distribution Network Using Simulation. Caspian Journal of Applied Sciences Research. 2(5): 48–56.
Hatami, M., Zahraee, S. M., Ahmadi, M., Golroudbary, S. R., & Rohani, J. M. (2014, October). Improving Productivity in a Bank System by Using Computer Simulation. In Applied Mechanics and Materials (Vol. 606, pp. 259-263).
Sadeghifam, A. N., Zahraee, S. M., Meynagh, M. M., & Kiani, I. (2015). Combined use of design of experiment and dynamic building simulation in assessment of energy efficiency in tropical residential buildings. Energy and Buildings, 86, 525-533.
Zahraee, S. M., Hatami, M., Yusof, N. M., Rohani, J. M., & Ziaei, F. (2013). Combined Use of Design of Experiment and Computer Simulation for Resources Level Determination in Concrete Pouring Process. Jurnal Teknologi. 64(1): 43–49.
Zahraee, S. M., Hatami, M., Rohani, J. M., Mihanzadeh, H., & Haghighi, M. 2014. Comparison of Different Scenarios Using Computer Simulation to Improve the Manufacturing System Productivity: Case Study. Advanced Materials Research. 845: 770–774.
Kelton W. 1999. Designing Simulation Experiments. Proceeding of the Winter Simulation Conference, Piscataway, New Jersy. 33–38.
Condra L. 2001. Reliability Improvement with Design of Experiments. 2nd edition ed. New York: Marcel Dekker.
Zahraee, S. M., Khademi, A., Khademi, S., Abdullah, A., & Ganjbakhsh, H. 2014. Application of Design Experiments to Evaluate the Effectiveness of Climate Factors on Energy Saving in Green Residential Buildings. Jurnal Teknologi. 69(5): 107–111.
Mckay, M., Beckman, R., J. W. 1979. A Comparison of Three Method for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics. 21: 239–245.
Mishra P., Pandey P. 1989. Simulation Studies of Flexible Manufacturing Systems Using Statistical Design of Experiment. Computer Industrial Engineering. 65–74.
Basler F., Sepulveda J. 2004. The Use of Somulation and Design of Experiment for Productvity Improvement in the Sawmill Industry. Proceeding Of 36th Winter Simulation Conference. 1218–1221.
Nazzala D., Mollaghasemi M., Anderson D. 2006. A Simulated-based Evaluation of the Cost of Cycle Time Reduction in Agree Systems Wafer Fabrication Facility-A Case Study. International Journal of Production Econimics. 100: 300–313.
Montevechi, J., Pinho, A., Leal, F., Marins, F. 2007. Application of Design of Experiment on the Simulation of a Process in an Automotive Industry. Proceedings of the Winter Simulation Conference. 1601–1609.
Zahraee, S. M., Shariatmadari, S., Ahmadi, H. B., Hakimi, S., & Shahpanah, A. 2014. Application of Design of Experiment and Computer Simulation to Improve the Color Industry Productivity: Case Study. Jurnal Teknologi. 68(4): 7–11.
Hatami, M., Zahraee, S. M., Khademi, A., Shahpanah, A., Rohani, J. M. 2014. Evaluating the Effect of Main Factors in Manufacturing Production Line Based on Simulation Experiment. Applied Mechanics and Materials. 606: 199–203.
Zahraee, S. M., Rezaei, G., Shahpanah, A., Chegeni, A., & Rohani, J. M. 2014. Performance Improvement of Concrete Pouring Process Based Resource Utilization Using Taguchi Method and Computer Simulation. Jurnal Teknologi. 69(1): 17–24.
Zahraee, S. M., Hatami, M., Bavafa, A. A., Ghafourian, K., & Rohani, J. M. (2014, October). Application of Statistical Taguchi Method to Optimize Main Elements in the Residential Buildings in Malaysia Based Energy Consumption. In Applied Mechanics and Materials (Vol. 606, pp. 265-269).
Antony J,. 1998. Some Key Things Industrial Engineers Should Know about Experimental Design. Logistic Information Management. 11(6): 386–92.
Taguchi, G. 1986. Introduction to Quality Engineering. Asian Productivity Organisation, Tokyo.
Antony J., Antony F. 2001. Teaching the Taguchi Method to IndustrialEngineers. Work Study. 50(4): 141–149.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
