Model Hybrid Flowshop 2 Stage with Johnson’s Rule Dispacthing to Minimize Makespan

Authors

  • Asep Anwar Production System Laboratorium Industrial Engineering Widyatama University Bandung Author
  • Didit Damur Rochman Production System Laboratorium Industrial Engineering Widyatama University Bandung Author
  • Arief Rahmana Production System Laboratorium Industrial Engineering Widyatama University Bandung Author

DOI:

https://doi.org/10.61841/zwmdez33

Keywords:

Hybrid Flowshop, Optimization, scheduling, Makespan minimization

Abstract

Hybrid Flowshop (HFS) is a development scheduling model of flowshop scheduling problems. Currently, PT. XX is a manufacturing company that produces MT (mono-twine) mesh products using the HFS production concept. The HFS process at PT XX is the Ringrope (Stage 1) and Netting (Stage 2) process. The ringrope process consists of 2 machines arranged in parallel, and then the results will be processed by Netting. The settlement method in this research is the optimization method by making a mathematical model by sorting using the Johnson method. The results of the study showed the sequence of processes on stage 1 and on stage 2 with makespan was 1354.51 hours. 

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References

[1] Anwar, A., & Rochman, D. D. (2019). Makespan Minimization on Single Product Parallel Machine Scheduling Case Study: Fish Net Company in Bandung. International Journal of Advanced Science and Technology, 2019.

[2] Baker, K. R. (1974). Introduction to sequencing and scheduling. John Wiley & Sons.

[3] Baker, K. R. & Trietsch, D. (2009). Principles of sequencing and scheduling. Hoboken, NJ: John Wiley.

[4] Ginting, R. (2009). Penjadwalan Mesin. Yogyakarta: Graha Ilmu.

[5] Sarma, U.; Karnitis, G.; Zuters, J.; Karnitis, E. 2019. District heating networks: enhancement of the efficiency, Insights into Regional Development 1(3): 200-213. https://doi.org/10.9770/ird.2019.1.3(2)

[6] Girdzijauskaite, E.; Radzeviciene, A.; Jakubavicius, A. 2019. Impact of international branch campus KPIs on the university competitiveness: FARE method, Insights into Regional Development 1(2): 171-180. https://doi.org/10.9770/ird.2019.1.2(7)

[7] Karthik, S. & Prabaharan, T. (2014). Hybrid Flowshop Scheduling Using Discrete Harmony Search And Genetic Algorithm. International Journal of Innovative Research in Science, Engineering, and Technology, Volume 3.

[8] Baltgailis, J. 2019. The issues of increasing the effectiveness of teaching comparative economics, Insights into Regional Development 1(3): 190-199. https://doi.org/10.9770/ird.2019.1.3(1)

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Published

30.04.2020

How to Cite

Anwar, A., Damur Rochman, D., & Rahmana, A. (2020). Model Hybrid Flowshop 2 Stage with Johnson’s Rule Dispacthing to Minimize Makespan. International Journal of Psychosocial Rehabilitation, 24(2), 7734-7740. https://doi.org/10.61841/zwmdez33