Application of Design of Experiment and Computer Simulation to Improve the Color Industry Productivity: Case Study

Authors

  • Seyed Mojib Zahraee Faculty of Mechanical Engineering, Department of Industrial Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Shahab Shariatmadari Faculty of Mechanical Engineering, Department of Industrial Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Hadi Badri Ahmadi Faculty of Mechanical Engineering, Department of Industrial Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Saeed Hakimi Faculty of Mechanical Engineering, Department of Industrial Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Ataollah Shahpanah Faculty of Mechanical Engineering, Department of Industrial Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v68.2988

Keywords:

Computer simulation, design of experiment, manufacturing system, productivity improvement, ARENA 13.9

Abstract

One of the controversial issues in manufacturing companies is bottleneck. Managers and engineers try to deal with this difficulty to improve the productivity such as increasing resource utilization and throughput. One color factory is selected as a case study in this paper. This company tries to identify and decrease the bottlenecks in the production line. The goal of this paper is building the simulation model of production line to improve the productivity by analyzing the bottleneck. To achieve this goal, statistical method named design of experiment (DOE) was performed in order to find the optimum combination of factors that have the significant effect on the process productivity. The analysis shows that all of the main factors have a significant effect on the production line productivity. The optimum value of productivity is achieved when the number of delpak mixer (C) and number of lifter (D) to be located at high level that is equal to 2 and 2 respectively. The most significant conclusion of this study is that 3.2 labors are required to reach maximum productivity based on the resource utilization and cost. It means that 3 full time labors and one part time labor should be employed for the production line. 

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Published

2014-05-15

How to Cite

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). https://doi.org/10.11113/jt.v68.2988