Implementation of repairing production machine productivity of spare parts speaker based on OEE value achievement

Document Type: Research Paper

Authors

Department of Industrial Engineering, Postgraduate Faculty, Mercu Buana University, Jakarta 11650, Indonesia.

Abstract

The industry under study is a company in the field of making Speaker, Megaphone and Amplifier. In this study, the Thoshiba IS 350 GS 350 Ton machine has observed. Constraints such as when producing machine Speaker Parts produce high reject products up to 7% of the total monthly production. When operating the machine often experiences downtime due to damage to the engine. Damage causes high employee overtime due to having to pursue production targets and the costs to be incurred by the company can reach Rp. 3 billion per month. Evaluation is done by calculating Overall Equipment Effectiveness (OEE) and comparing with OEE before repairs. Furthermore, discussed the factors that influence the effectiveness of the Injection molding machine contained in the six big losses and other problems where the method of analysis with fishbone diagrams. After that, the discussion was conducted using the analysis of Failure Mode and Effect Analysis (FMEA) to identify and analyze potential failures and their consequences. From the results of the observation, the main cause of damage to the Thoshiba IS 350 GS 350 Ton machine is the low Performance Rate with an average value of 63.5% in April 2018, this is caused by the value of Reduced Speed Losses that have the biggest contribution in six big losses with a loss of 86.9 hours which results in the Thoshiba IS 350 GS 350 Ton Machine not working optimally.

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References

[1]     Tekin, İ. & Gözlü, S. (2012). Determination of costs resulting from manufacturing losses: an investigation in white durables industry. Proceedings of the 2012 international conference on industrial engineering and operations management Istanbul, (pp. 352-361).Turkey.

[2]     Raut, S., & Raut, N. (2017). Implementation of TPM to enhance OEE in medium scale industries: a review. IJISET-International journal of innovative science, engineering & technology, 4(3).

[3]     Vijayakumar, S. R., & Gajendran, S. (2014). Improvement of overall equipment effectiveness (OEE) in injection moulding process industry. IOSR journal of mechanical civil engineering, 2(10), 47-60.

[4]     Dutta, S., & Dutta, A. (2016). A review on the experimental study of overall equipment effectiveness of various machines and its improvement strategies through TPM implementation. International journal of engineering trends and technology (IJETT), 36(5), 224-232.

[5]     Bilianto, B. Y., & Ekawati, Y. (2017). Pengukuran efektivitas mesin menggunakan overall equipment effectiveness untuk dasar usulan perbaikan. Jurnal ilmiah teknik industri, 15(2), 116-126.

[6]     Relkar, A. S., & Nandurkar, K. N. (2012). Optimizing & analysing overall equipment effectiveness (OEE) through design of experiments (DOE). Procedia engineering, 38, 2973-2980.

[7]     Tomar, R., & Soni, P. K. (2016). Analysis of performance by overall equipment effectiveness of the injection moulding section of an automobile industry. International research journal of engineering and technology (IRJET), 3(5), 379-381.

[8]     Rosyidi, K., Santoso, P. B., & Sasongko, M. N. (2015). Peningkatan efektivitas perawatan mesin perontok bulu unggas dengan metode overall equipment effectiveness dan failure mode effect analysis (studi kasus di perusahaan pengolahan ayam kampung pasuruan). Journal of engineering and management in industrial system, 3(2).

[9]     Ranđelović, S., Mladomir, M., Nikolić, S., & Kačmarčik, I. (2015). Risk assessment in injection molding process. Journal for technology of plasticity, 40(2).

[10]  Wessiani, N. A., & Yoshio, F. (2018, April). Failure mode effect analysis and fault tree analysis as a combined methodology in risk management. IOP conference series: materials science and engineering. IOP Publishing.

[11]  Shivakumar, K. M., Hanumantharaya, R., Mahadev, U. M., & Kiran, P. A. (2015). Implementation of FMEA in Injection moulding process. International journal of engineering trends and technology (IJETT), 22(10), 230-235.

[12]  Tripathi, S., & Jain, S. (2017). Study of the product failure modes and effects analysis (PFMEA) on welding process- a implementation paper. International journal of innovative research in science, engineering and technology, 6(5), 7991-7996

[13]  Jannah, R. M., & Supriyadi dan Nalhadi, A. (2017). Effectiveness analysis of centrifugal machines using the overall equipment effectiveness (OEE) method. Seminar nasional riset terapan 2017 (pp. 70-75).

Rachieru, N., Belu, N., & Anghel, D. C. (2013). Improvement of process failure mode and effects analysis using fuzzy logic. Applied mechanics and materials (pp. 822-826). Trans Tech Publications

Journal of Applied Research on Industrial Engineering

Volume 6, Issue 1
Spring 2019
Pages 26-32

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History

  • Receive Date: 04 November 2018
  • Revise Date: 07 February 2019
  • Accept Date: 27 March 2019

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