Six Sigma Approach with Integration of FMEA-Fuzzy SWARA-Fuzzy WASPAS to Minimize Bottled Water Defects

Gigih Amayu Pragastio(1*), Annisa Kesy Garside(2), Thomy Eko Saputro(3),

(1) Universitas Muhammadiyah Malang
(2) Universitas Muhammadiyah Malang
(3) Universitas Muhammadiyah Malang
(*) Corresponding Author
DOI: https://doi.org/10.23917/jiti.v22i1.21370

Abstract

Along with the increasingly tight competition, companies are required to always be consistent in improving the quality of its products. Improvement of product quality can be achieved through minimization or even reduction of product defects. This study aims to minimize defects by providing improvement suggestions based on critical failure modes The Six Sigma approach is adopted to reduce the occurrence of product defects. The FMEA-FSWARA-FWASPAS FMEA method is integrated in the six sigma approach, especially to determine the priority of failure modes and the recommended efforts to minimize failure modes that trigger product defects. FSWARA is used to determine severity, occurrence, and detection weights as failure mode assessment criteria. Meanwhile, determination of the critical failure mode is based on the results of the evaluation using FWASPAS. This research is based on a case study in which 5 types of defects were found, namely, skewness, underfilling, leaks, broken lids, and broken boxes. The main causes lie in the human factor and the machine factor. The results showed that there were 3 critical failure modes, namely, the wrong setting of the cutter timer by the operator, the frequent change in the heater temperature, and material getting damaged

Keywords

bottled water, defect, six sigma, fuzzy, FMEA, SWARA, WASPAS

Full Text:

PDF

References

Alvand, A., Mirhosseini, S. M., Ehsanifar, M., Zeighami, E., & Mohammadi, A. (2021). Identification and assessment of risk in construction projects using the integrated FMEA-SWARA-WASPAS model under fuzzy environment: a case study of a construction project in Iran. International Journal of Construction Management, 1–23.

Chrysler, L. L. C., & Motors, G. (2008). Potential failure mode and effect analysis (FMEA): reference manual. Edisi Ke-4. Ford Motor Company. United States of America.

Fattahi, R., & Khalilzadeh, M. (2018). Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment. Safety Science, 102, 290–300.

Gaspersz, V. (2005). Sistem Manajemen Kinerja Terintegrasi: Balanced Scorecard dengan Six Sigma Untuk Organisasi Bisnis dan Pemerintah.

Handayani, M., & Marpaung, N. (2018). Implementasi Metode Weight Aggregated Sum Product Assesment (Waspas) Dalam Pemilihan Kepala Laboratorium. Seminar Nasional Royal (SENAR), 1(1), 253–258.

Judi, H. M., Genasan, D., & Jenal, R. (2011). Quality control implementation in manufacturing companies: motivating factors and challenges. INTECH Open Access Publisher.

Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243–258.

Knechtges, P., Bell, C. J., & Nagy, P. (2013). Utilizing the 5S methodology for radiology workstation design: applying lean process improvement methods. Journal of the American College of Radiology, 10(8), 633–634.

Liu, H.-C., You, J.-X., Ding, X.-F., & Su, Q. (2015). Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method. International Journal of Quality & Reliability Management.

Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., & Ibrahim, O. (2017). A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments. Applied Soft Computing, 57, 265–292.

Mavi, R. K., Goh, M., & Zarbakhshnia, N. (2017). Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. The International Journal of Advanced Manufacturing Technology, 91(5), 2401–2418.

Mohammadi, A., Tavakolan, M., & Khosravi, Y. (2018). Factors influencing safety performance on construction projects: A review. Safety Science, 109, 382–397.

Pande, P. S., Neuman, R. P., & Cavanagh, R. R. (2000). The SIX SIGMA WAY: How GE, Motorola, and Other Top Companies Are Honing Their Performance. https://www.ptonline.com/articles/how-to-get-better-mfi-results

Pangestu, P., & Fahma, F. (2019). Implementasi Six sigma dalam peningkatan kualitas proses produksi LED TV di PT Sharp Electronics Indonesia. Performa: Media Ilmiah Teknik Industri, 17(2).

Patil, S. K., & Kant, R. (2014). A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers. Expert Systems with Applications, 41(2), 679–693.

Pete, L. H., & Larry, H. (2002). What is six sigma. McGraw-Hill.

Rosiana, E., Garside, A. K., & Amallynda, I. (2021). Integration of Rough SWARA and COPRAS in the Performance Evaluation of Third-Party Logistics Providers. Jurnal Teknik Industri, 22(1), 31–42.

Tague, N. R. (2005). Fishbone (Ishikawa) Diagram. Learn About Quality: About, 7.

Tannady, H. (2015). Pengendalian Kualitas Six Sigma. Yogyakarta: Penerbit Graha Ilmu.

Turskis, Z., Zavadskas, E. K., Antucheviciene, J., & Kosareva, N. (2015). A hybrid model based on fuzzy AHP and fuzzy WASPAS for construction site selection. International Journal of Computers Communications & Control, 10(6), 113–128.

Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), 165–179.

Zhan, W., & Ding, X. (2015). Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers. Momentum Press.

Article Metrics

Abstract view(s): 180 time(s)
PDF: 297 time(s)

Refbacks

  • There are currently no refbacks.