Enhancing process optimization through adaptive jig design in lean manufacturing: insights from Universitas Mercu Buana's laboratory
Abstract
This study aims to enhance efficiency in the Lean Manufacturing practicum at the Lean Manufacturing Laboratory of Universitas Mercu Buana by applying PDCA (Plan-Do-Check-Act) and TRIZ (Theory of Inventive Problem Solving) methods. The primary focus was the design and implementation of a flexible jig tool to reduce processing time and increase precision in the vacuum, trimming, and assembly stages designing and implementing. Results showed that the flexible jig reduced process time by 37.8%, from 1431 seconds to 890 seconds, and improved the level of automation from fully manual to the use of flexible tools. Further evaluation revealed significant gains in productivity. The study utilized tools such as Value Stream Mapping (VSM), Operation Process Chart (OPC), and the seven waste concepts within the PDCA framework to identify key issues in the manufacturing process. The application of TRIZ principles in tool design also significantly enhanced production efficiency. This research presents compelling evidence that systematic approach like PDCA and creative methodologies for instance TRIZ can substantially improve operational performance in light manufacturing practicums. Additionally, it highlights the important role of higher education in fostering technological innovation and industry collaboration to tackle evolving manufacturing challenges.
Keywords
Full Text:
PDFReferences
Amrina, U., & Fitrahaj, M. U. R. (2020a). An Application of Value Stream Mapping to Reduce Waste in Livestock Vitamin Raw Material Warehouse. International Journal of Science and Research (IJSR), 9(3), 1541–1546, https://doi.org/10.21275/SR20329062345
Amrina, U., & Fitrahaj, M. U. R. (2020b). An Application of Value Stream Mapping to Reduce Waste in Livestock Vitamin Raw Material Warehouse. International Journal of Science and Research (IJSR), 9(3), 1541–1546, https://doi.org/10.21275/SR20329062345
Batwara, A., Sharma, V., Makkar, M., & Giallanza, A. (2023). Towards smart sustainable development through value stream mapping – a systematic literature review. In Heliyon (Vol. 9, Issue 5). https://doi.org/10.1016/j.heliyon.2023.e15852
Bonaccorsi, A., Carmignani, G., & Zammori, F. (2011). Service Value Stream Management (SVSM): Developing Lean Thinking in the Service Industry. Journal of Service Science and Management, 04(04). https://doi.org/10.4236/jssm.2011.44048
Buer, S. V., Semini, M., Strandhagen, J. O., & Sgarbossa, F. (2021). The complementary effect of lean manufacturing and digitalisation on operational performance. International Journal of Production Research, 59(7), 1976–1992. https://doi.org/10.1080/00207543.2020.1790684
Donald, W. E. (2024). Merit beyond metrics: Redefining the value of higher education. Industry and Higher Education. https://doi.org/10.1177/09504222241264506
Gamage, K. A. A., Wijesuriya, D. I., Ekanayake, S. Y., Rennie, A. E. W., Lambert, C. G., & Gunawardhana, N. (2020). Online delivery of teaching and laboratory practices: Continuity of university programmes during COVID-19 pandemic. In Education Sciences (Vol. 10, Issue 10, pp. 1–9). MDPI AG. https://doi.org/10.3390/educsci10100291
Herlambang, H., Ikatrinasari, Z. F., & Kosasih, K. (2022). SINGLE-DIGIT TIME: TOWARD A QUICK CHANGE-OVER PROCESS WITH THE SMED METHOD USING THE VISION SYSTEM. Operational Research in Engineering Sciences: Theory and Applications, 5(1), 56–68. https://doi.org/10.31181/oresta190222076h
Ikatrinasari, Z. F., Kosasih, K., & Vizano, N. A. (2019). VALUE STREAM MAPPING (VSM) BASIC TRAINING TO INCREASE INDUSTRIAL PRODUCTIVITY. ICCD, 2(1). https://doi.org/10.33068/iccd.vol2.iss1.248
Kapilan, N., Vidhya, P., & Gao, X. Z. (2021). Virtual Laboratory: A Boon to the Mechanical Engineering Education During Covid-19 Pandemic. Higher Education for the Future, 8(1), 31–46. https://doi.org/10.1177/2347631120970757
Kraus, S., Jones, P., Kailer, N., Weinmann, A., Chaparro-Banegas, N., & Roig-Tierno, N. (2021). Digital Transformation: An Overview of the Current State of the Art of Research. SAGE Open, 11(3). https://doi.org/10.1177/21582440211047576
Kumar, N., Shahzeb Hasan, S., Srivastava, K., Akhtar, R., Kumar Yadav, R., & Choubey, V. K. (2022). Lean manufacturing techniques and its implementation: A review. Materials Today: Proceedings, 64. https://doi.org/10.1016/j.matpr.2022.03.481
Mohzana, M., Murcahyanto, H., Fahrurrozi, Muh., & Supriadi, Y. N. (2023). Optimization of Management of Laboratory Facilities in the Process of Learning Science at High School. Jurnal Penelitian Pendidikan IPA, 9(10), 8226–8234. https://doi.org/10.29303/jppipa.v9i10.5249
Pasha, V., & Chin, J. (2024). Combination of value stream mapping (VSM) method and kanban system to reduce time waste in the production process of making parts for the four-wheel vehicle industry. Operations Excellence: Journal of Applied Industrial Engineering, 16(1), 76-89. doi:http://dx.doi.org/10.22441/oe.2024.v16.i1.104
Permana, W. D., Bayhaqi, I., & Handayani, C. (2022). Perancangan Operation Process Chart Dan Pengukuran Waktu Baku Dengan Metode Stopwatch Time. Jurnal Teknik Mesin Dan Industri (JuTMI), 1(1). https://doi.org/10.55331/jutmi.v1i1.5
Qiao, S., Qi, W. bo, Lu, S. shi, Guo, X., & Pei, X. bing. (2023). Innovative design of stop mechanism and zinc stripping device integrating TRIZ tools. International Journal of Systematic Innovation, 7(8). https://doi.org/10.6977/IJoSI.202312_7(8).0001
Realyvásquez-Vargas, A., Arredondo-Soto, K. C., Carrillo-Gutiérrez, T., & Ravelo, G. (2018). Applying the Plan-Do-Check-Act (PDCA) cycle to reduce the defects in the manufacturing industry. A case study. Applied Sciences (Switzerland), 8(11). https://doi.org/10.3390/app8112181
Rosenbusch, K. (2020). Technology Intervention: Rethinking the Role of Education and Faculty in the Transformative Digital Environment. Advances in Developing Human Resources, 22(1), 87–101. https://doi.org/10.1177/1523422319886297
Sojka, V., & Lepšík, P. (2020). Use of triz, and triz with other tools for process improvement: A literature review. In Emerging Science Journal (Vol. 4, Issue 5). https://doi.org/10.28991/esj-2020-01234
Yaqub, M. Z., & Alsabban, A. (2023). Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies. Sustainability (Switzerland), 15(11). https://doi.org/10.3390/su15118553
DOI: http://dx.doi.org/10.22441/oe.2024.v16.i3.118
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Operations Excellence: Journal of Applied Industrial Engineering
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Journal ISSN:
Print ISSN: 2085-4293 | |
Online ISSN: 2654-5799 |
Tim Editorial Office
Operations Excellence: Journal of Applied Industrial Engineering
Magister Teknik Industri Universitas Mercu Buana
Jl. Raya Meruya Selatan No. 1 Kembangan Jakarta Barat
Email: [[email protected]]
Website: http://publikasi.mercubuana.ac.id/index.php/oe
Journal DOI: 10.22441/oe
The Journal is Indexed and Journal List Title by:
Operations Excellence: Journal of Applied Industrial Engineering is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.