DOI: https://doi.org/10.14710/jati.17.3.168-173

MENGHILANGKAN KELUHAN PELANGGAN DENGAN MENGGUNAKAN TEKNIK POKA-YOKE SEDERHANA BERBIAYA MURAH

*Kemas Muhammat Abdul Fatah orcid scopus  -  Universitas Sang Bumi Ruwa Jurai, Indonesia

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Abstract

Kinerja perusahan dalam konteks mutu tidak terlepas dari total biaya mutu yang terdiri dari biaya pengendalian mutu dan biaya kegagalan. Biaya kegagalan muncul karena terjadinya kegagalan, baik terjadi di internal (kegagalan internal) maupun terjadi di eksternal (kegagalan eksternal). Kegagalan internal yang tidak terdeteksi dan berlanjut sampai ke pelanggan dapat menyebabkan terjadinya kegagalan eksternal dalam bentuk keluhan pelanggan. Penelitian ini ditujukan untuk menghilangkan keluhan pelanggan dengan menggunakan teknik Poka-Yoke. Diagram Pareto menunjukkan bahwa keluhan pelanggan atas kurang jumlah kirim barang menjadi prioritas pertama untuk dihilangkan. Aktivitas Gemba menemukan bahwa akar permasalahan berasal dari area proses packing. Failure Mode and Effect Analysis (FMEA) menunjukkan bahwa potensi penyebab keluhan pelanggan adalah operator lalai dalam menghitung dan solusi yang disarankan adalah menggunakan teknik Poka-Yoke berupa alat bantu hitung, namun harus dirancang dalam bentuk sederhana dan berbiaya murah. Dengan membandingkan nilai Risk Priority Number (RPN) pada FMEA sebelum dengan FMEA setelah implementasi, di mana terjadi penurunan nilai RPN, membuktikan bahwa alat bantu hitung berfungsi efektif untuk menghilangkan keluhan pelanggan.

 

Abstract

[Eliminating Customer Complaints by Using Simple and Low-Cost Poka-Yoke Technique] The company's performance in the context of quality is inseparable from the total cost of quality, consisting of quality control costs and failure costs. Failure costs arise due to the occurrence of failures, whether internal failure or external failure. The undetectable internal failure, and continue to the customer, can lead to external failures in the form of customer complaints. This study aims to eliminate customer complaints by using the Poka-Yoke technique. The Pareto diagram shows that customer complaints about the lack of goods delivered are the priority to be eliminated. Gemba's activities found that the root cause of customer complaints comes from the packing process area. Failure Mode and Effect Analysis (FMEA) shows that the potential cause of failure is operator carelessness in calculating, and the recommended solution is to use the Poka-Yoke technique as a counting device, but it must be designed in a simple and low-cost form. By comparing the value of the Risk Priority Number (RPN) in the FMEA before with the FMEA after implementation, there is a decrease in the value of the RPN, proving that the counting devices effectively eliminate customer complaints.

Keywords: customer complaints; FMEA;Poka-Yoke; RPN

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Keywords: FMEA; keluhan pelanggan; Poka-Yoke; RPN

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  1. Ahmad, A. A., Rashid, A. A., Wong, F. R., & Iqbal, M. (2017). Worker safety improvement at paper pleating production line using Poka-Yoke concept - A case study in automotive industry. Journal of Mechanical Engineering, SI 4(5), 183–196
  2. Al Ayyubi, M. C., Mahmudah, H., Saleh, A., & Rizki Rachmadi, R. (2020). Implementation of Poka-Yoke System to Prevent Human Error in Material Preparation for Industry. In Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020 (pp. 273–278)
  3. Arabsheybani, A., Paydar, M. M., & Safaei, A. S. (2018). An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier’s risk. Journal of Cleaner Production, 190, 577–591
  4. Attia, E., Khader, K., & Nada, O. (2019). Mistake Proofing Cam Mechanism Through Six-sigma Process: Case Study on Clothes Printing Machines. International Journal of Engineering, 32(3), 438–444
  5. Dalton, J. (2019). Gemba Kaizen. In Great Big Agile: An OS for Agile Leaders (pp. 175–176)
  6. Hoellthaler, G., Braunreuther, S., & Reinhart, G. (2019). Requirements for a methodology for the assessment and selection of technologies of digitalization for lean production systems. Procedia CIRP, 79, 198–203
  7. Kaur, J., Sidhu, R., Awasthi, A., & Srivastava, S. K. (2019). A Pareto investigation on critical barriers in green supply chain management. International Journal of Management Science and Engineering Management, 14(2), 113–123. Retrieved from https://doi.org/10.1080/17509653.2018.1504237
  8. Kumar, P., Maiti, J., & Gunasekaran, A. (2018). Impact of quality management systems on firm performance. International Journal of Quality and Reliability Management, 35(5), 1034–1059
  9. Kurhade, A. J. (2015). Review on ‘POKA-YOKE: Technique to Prevent Defects’. International Journal Of Engineering Sciences & Research Technology, 4(11), 652–659
  10. Malega, P. (2018). Poka-Yoke-solution to human errors in the production process. The International Journal of Business Management and Technology, 2(5), 207–213
  11. Maryani, E., Purwanto, A., Kartika, H., Haris, M., Ihsan, N., Fatah, K. M. A., & Pramono, R. (2020). Do Gemba Kaizen and 5S Reinforce Medical Equipment Manufacturing Performance. European Journal of Molecular & Clinical Medicine, 7(7), 41-57
  12. Muharam, M., & Latif, M. (2019). Design of Poka-Yoke system based on fuzzy neural network for rotary-machinery monitoring. IOP Conference Series: Materials Science and Engineering, 602(1)
  13. Özilgen, S., & Özilgen, M. (2017). General template for the FMEA applications in primary food processing. Advances in Biochemical Engineering/Biotechnology, 161, 29–69
  14. Rana, S., & Belokar, R. M. (2017). Quality Improvement Using FMEA: A Short Review. International Research Journal of Engineering and Technology, 4(6), 263–267
  15. Singh, Y., & Tiwana, R. K. (2018). Process Improvement by Poka-Yoke: A Tool for Zero Defects. Biz and Bytes, 9(1), 152-156
  16. Soni, P., & Yadav, T. (2018). Review Paper on “ Productivity Improvement by using Poka-Yoke ”. International Research Journal of Engineering and Technology, 5(12), 761–763
  17. Sturm, S., Kaiser, G., & Hartmann, E. (2019). Long-run dynamics between cost of quality and quality performance. International Journal of Quality and Reliability Management, 36(8), 1438–1453
  18. Widjajanto, S., Purba, H. H., & Jaqin, C. (2020). Novel Poka-Yoke approaching toward Industry-4.0. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 65–83
  19. Zhu, Q., Golrizgashti, S., & Sarkis, J. (2020). Product deletion and supply chain repercussions: risk management using FMEA. Benchmarking, 28(2), 409–437

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