Synergizing FMEA and PDCA for superior risk management and process improvement in the semiconductor industry: a case study

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Accepted: 2024-07-11

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Published: 2024-07-26

DOI: https://doi.org/10.4995/ijpme.2024.21469
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Keywords:

FMEA, PDCA, risk assessment, process improvement, semiconductor industry

Supporting agencies:

This research was not funded

Abstract:

The semiconductor industry faces the dual challenge of risk assessment and process improvement. This paper introduces a framework that integrates Failure Mode and Effects Analysis (FMEA) and Plan-Do-Check-Act (PDCA) cycle to address these challenges effectively. FMEA serves as the initial step to identify potential risks within the system, followed by applying the PDCA cycle to systematically address and enhance the identified risks. The comparison between the initial Risk Priority Number (RPN) value, determined through FMEA, and the post-RPN in PDCA value gauges the success of the framework. Implementing the system in a semiconductor assembly line yielded a significant 51% improvement in RPN, with additional Lean tools incorporated into PDCA, such as SMART goals, 6M, and multi-voting. This integrated framework amplifies risk management, fosters continuous improvement, optimizes resource utilization, and empowers data-driven decisions, ultimately bolstering organizational growth. However, the study acknowledges limitations such as its single-case focus and potential RPN calculation subjectivity.

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References:

Akhtar, M. (2023). Logistics services outsourcing decision making: a literature review and research agenda. International Journal of Production Management and Engineering, 11(1), 73-88. https://doi.org/10.4995/ijpme.2023.18441

Albana, A., & Dahda, S. S. (2023). Improving the Quality of Boiler Feed Water Based on the PDCA Cycle by Integrating Seven Tools. Daengku: Journal of Humanities and Social Sciences Innovation, 3(6), 907-915. https://doi.org/10.35877/454RI.daengku2113

Alfatiyah, R. (2019). Analisis kegagalan produk CACAT dengan kombinasi siklus plan-do-check-action (PDCA) dan metode failure mode and effect analysis (FMEA). Teknologi: Jurnal Ilmiah dan Teknologi, 2(1), 39-48. https://doi.org/10.32493/teknologi.v2i1.4144

Anes, V., Henriques, E., Freitas, M., & Reis, L. (2018). A new risk prioritization model for failure mode and effects analysis. Quality and Reliability Engineering International, 34(4), 516-528. https://doi.org/10.1002/qre.2269

Cabanes, B., Hubac, S., Le Masson, P., & Weil, B. (2021). Improving reliability engineering in product development based on design theory: the case of FMEA in the semiconductor industry. Research in Engineering Design, 32, 309-329. https://doi.org/10.1007/s00163-021-00360-1

Chandrahadinata, D., & Nurdiana, W. (2021). Analisis Pengendalian Kualitas Pada Crude Palm Oil untuk Meningkatkan Kualitas di PT. Condong Garut. Jurnal Kalibrasi, 19(1), 43-52. https://doi.org/10.33364/kalibrasi/v.19-1.1045

Chen, H., Tao, Z., Zhou, C., Zhao, S., Xing, Y., & Lu, M. (2022, May 23). The effect of comprehensive use of PDCA and FMEA management tools on the work efficiency, teamwork, & self-identity of medical staff: A cohort study with Zhongda Hospital in China as an example. Contrast Media & Molecular Imaging. https://doi.org/10.1155/2022/5286062

Chivukula, K., & Pattanaik, L. N. (2023). Prioritizing Lean Tools For Integration With Industry 4.0 Technologies Using A Hybrid Fuzzy Moora Approach. International Journal of Industrial Engineering, 30(5).

Chuah, P., & Lim, P. (2018). Applying quality tools to improve student retention supporting process: a case study from WOU. Asian Association of Open Universities Journal, 13(1), 60-72. https://doi.org/10.1108/AAOUJ-01-2018-0003

Dewi, S. K., Widodo, R. D. S. A., & Lukman, M. (2022, July). Reducing defective products using Six Sigma for production process improvement. In AIP Conference Proceedings, 2453(1). https://doi.org/10.1063/5.0094477

Dixon-Woods, M. (2019). Harveian Oration 2018: Improving quality and safety in healthcare. Clinical Medicine, 19(1), 47. https://doi.org/10.7861/clinmedicine.19-1-47

Ebeid, A. A., El-Khouly, I. A., & El-Sayed, A. E. (2016, December). Lean maintenance excellence in the container handling industry: A case study. In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 1646-1650). IEEE. https://doi.org/10.1109/IEEM.2016.7798156

Elangovan, U. (2021). Industry 5.0: The future of the industrial economy. CRC Press. https://doi.org/10.1201/9781003190677

Ezzat, A., & Ebeid, A. (2017). Lean maintenance excellence in the container handling industry: A case study. Production & Manufacturing Research, 5(1), 70-92.

Gray, D. E. (2021). Doing research in the real world. Doing research in the real world, 1-100.

Hall, S. (2017). Rules of thumb for chemical engineers. Butterworth-Heinemann.

Handoko, A. (2017). Implementasi pengendalian kualitas dengan menggunakan pendekatan PDCA dan seven tools pada PT. Rosandex Putra Perkasa di Surabaya. CalypTra: Jurnal Manajemen dan Akuntansi Universitas Surabaya, 11(2), 115-126.

He, W., Deng, L., Zeng, X., & Zhang,L. (2020) PDCA circulation in the prevention of clinical rust effect observation. American Journal of Nursing Science, 9 (3), 6764-6765. https://doi.org/10.11648/j.ajns.20200903.20

Ishak, S., Shaharudin, M. R., Salim, N. A. M., Zainoddin, A. I., & Deng, Z. (2023). The effect of supply chain adaptive strategies during the COVID-19 pandemic on firm performance in Malaysia's semiconductor industries. Global Journal of Flexible Systems Management, 24(3), 439-458. https://doi.org/10.1007/s40171-023-00347-y

Ivančan, J., & Lisjak, D. (2021). New FMEA risks ranking approach utilizing four fuzzy logic systems. Machines, 9(11), 292. https://doi.org/10.3390/machines9110292

Koteswarapavan, C., & Pattanaik, L. N. (2024). A novel tool-input-process-output (TIPO) framework for upgrading to lean 4.0. International Journal of Production Management and Engineering, 12(1), 65-77. https://doi.org/10.4995/ijpme.2024.19723

Kurnia, H., Jaqin, C., & Purba, H. H. (2022). The PDCA approach with OEE methods for increasing productivity in the garment industry. Jurnal Ilmiah Teknik Industri, 10(1), 57-68.

Ho Song, M., & M. Fischer, (2020). Daily plan-do-check-act (PDCA) cycles with level of development (LOD) 400 objects for foremen, Advanced Engineering Informatics, 44(C), 5520-5521. https://doi.org/10.1016/j.aei.2020.101091

McDermott R E, Mikulak R J and Beauregard M R 2009 The Basic of FMEA. 2nd Ed. (New York: Productivity Press).

Michalakoudis, I. (2019). Enhancing Collaborative Practice in SMES through Functional Analysis (Doctoral dissertation, Imperial College London).

Mielczarek, K., & Smolarek, I. (2017). The production process improvement of unit package one-sidedly laminated. Zeszyty Naukowe. Quality. Production. Improvement. https://doi.org/10.30657/qpi.2017.06.19

Mohan, A., Jain, P., & Rastogi. R. (2012). Implementing Quality Circles in Educational Institutes: A Case Study. Journal of Educational Management, 22(1), 45-62.

Moreira, S. F. A. (2022). Risk management in manufacturing systems: case study (Doctoral dissertation).

Patfield, S., Gore, J., & Harris, J. (2023). Shifting the focus of research on effective professional development: Insights from a case study of implementation. Journal of Educational change, 24(2), 345-363. https://doi.org/10.1007/s10833-021-09446-y

Petricevic, O., & Teece, D. J. (2019). The structural reshaping of globalization: Implications for strategic sectors, profiting from innovation, & the multinational enterprise. Journal of International Business Studies, 50, 1487-1512. https://doi.org/10.1057/s41267-019-00269-x

Prasetyani, R., Huda, A. T., & Ningtyas, D. R. (2019, May). Analysis of Increasing Quality of Surfactant Powder at Oversize Parameter Using PDCA and FMEA in PT BCCI. In IOP Conference Series: Materials Science and Engineering, 528(1), 012075. https://doi.org/10.1088/1757-899X/528/1/012075

Prasetyo, B., Baskoro, G., & Nasution, H. (2021, August). Reducing Downtime of Extruder Machine Using Plan Do Check Action and Failure Mode and Effects Analysis Methods in Indonesia Leading Tire Manufacturing. In Proceedings of The Conference on Management and Engineering in Industry, 3(2), 13-18.

Protzman, C., Whiton, F., & Kerpchar, J. (2022). Sustaining Lean: Creating a Culture of Continuous Improvement. CRC Press. https://doi.org/10.4324/9781003186090

Ramere, M. D. & Laseinde, O. T. (2021). Optimization of condition-based maintenance strategy prediction for aging automotive industrial equipment using FMEA. Procedia Computer Science, 180(55), 166-169. https://doi.org/10.1016/j.procs.2021.01.160

Realyvásquez-Vargas, A., Arredondo-Soto, K. C., Carrillo, T., & Ravelo, G. (2018). Applying the PDCA cycle to reduce the defects in the manufacturing industry. A case study. Preprints. https://doi.org/10.20944/preprints201810.0347.v1

Ruzicic, V. S., & Micic, Z. M. (2020). Knowledge management assessment using PDCA based in global and local standards: In the case of technics and informatics studies. KSII Transactions on Internet and Information Systems (TIIS), 14(5), 2022-2042. https://doi.org/10.3837/tiis.2020.05.009

Santoso, S., Anjela, L., Alvionita, U., Firmansyah, F., Etlanda, K. A., & Fatmawati, A. A. (2021, November). The role of risk management in minimizing black stain through the FMEA approach at PT MPZ. Jurnal Rekayasa Mesin, 15(6), 451-458.

Sari1, D. K., Hetharia1, D., Saraswati1, D., & Marizka1, R. (2019, May 1). IOPscience. IOP Conference Series: Materials Science and Engineering.

Serrano-Ruiz, J. C., Mula, J., & Poler, R. (2021). Smart master production schedule for the supply chain: a conceptual framework. Computers, 10(12), 156. https://doi.org/10.3390/computers10120156

Sharma, K. D., & Srivastava, S. (2018). Failure mode and effect analysis (FMEA) implementation: a literature review. J Adv Res Aeronaut Space Sci, 5(1-2), 1-17.

Syahrullah, Y., & Izza, M. R. (2021). Integrasi FMEA dalam penerapan quality control circle (QCC) untuk perbaikan kualitas proses produksi pada mesin tenun rapier. Jurnal Rekayasa Sistem Industri, 6(2), 78-85. https://doi.org/10.33884/jrsi.v6i2.2503

Thakur, V., Akerele, O. A., & Randell, E. (2023). Lean and Six Sigma as continuous quality improvement frameworks in the clinical diagnostic laboratory. Critical Reviews in Clinical Laboratory Sciences, 60(1), 63-81. https://doi.org/10.1080/10408363.2022.2106544

Tuháček, M., Franek, O., & Svoboda, P. (2020). Application of FMEA methodology for checking of construction's project documentation and determination of the most risk areas. Acta Polytechnica, 60(5), 448-454. https://doi.org/10.14311/AP.2020.60.0448

Usman, I & Windijarto. (2019). Developing green operations to minimize energy consumption by pdca cycle of iso 50001. A case study with delphi method approach. Journal of Security and Sustainability Issues, 9(May), 451-459. https://doi.org/10.9770/jssi.2020.9.M(34)

Wang, Z., Chen, Q., Yu, L., Huang, Y., & Cao, H. (2021). Anesthesia, Sedation, & Unplanned Extubation of Tracheal Intubation in Children with Severe Pneumonia. Evidence-Based Complementary and Alternative Medicine, 2021, 1-7. https://doi.org/10.1155/2021/4802389

Windheim, M. (2020). Cooperative decision-making in modular product family design. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-60715-2

Xu, Z., Dang, Y., Munro, P., & Wang, Y. (2020). A data-driven approach for constructing the component-failure mode matrix for FMEA. Journal of Intelligent Manufacturing, 31(1), 249-265. https://doi.org/10.1007/s10845-019-01466-z

Yuswardi, Y., & Boonyoung, N. (2012, December). Patient Safety in Nursing Administration: A literature Review. In ASEAN/Asian Academic Society International Conference Proceeding Series.

Zarreh, A., Wan, H., Lee, Y., Saygin, C., & Al Janahi, R. (2019). Cybersecurity concerns for total productive maintenance in smart manufacturing systems. Procedia Manufacturing, 38, 532-539. https://doi.org/10.1016/j.promfg.2020.01.067

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