Single-Digit time: Toward a Quick Change-over Process with The SMED method using The Vision System
DOI:
https://doi.org/10.31181/oresta190222076hKeywords:
SMED, Vision System, Automation, Inspection, Capability process, Eletronics component.Abstract
Increasing the speed of the product change-over process is critical by implementing the Single Minute Exchange of Dies (SMED) effectively. The smallest activity variation between operators, activity speed, and process accuracy are identified research targets. This research was developed in the electronic component industry, where the Define-Measure-Analyze-Improve-Control (DMAIC) and Hierarchy Task Analysis (HTA) methods can describe the most crucial and key activities. Therefore, it takes accuracy and reliability between operators to carry out this activity. This paper presents the acceleration of the product change-over process by developing an automated non-contact inspection method in the assembly area using a vision system. The results of the study illustrate that the change-over process can be carried out in single-digit minutes (7 minutes), or reduced by 81%, and the speed of change-over activities between operators is the same.
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Asan, O., & Montague, E. (2014). Using video-based observation research methods in primary care health encounters to evaluate complex interactions. Informatics in Primary Care, 21(4), 161–170. https://doi.org/10.14236/jhi.v21i4.72
Azizi, A. (2015). Designing a Future Value Stream Mapping to Reduce Lead Time Using SMED-A Case Study. Procedia Manufacturing, 2, 153–158. https://doi.org/10.1016/j.promfg.2015.07.027
Bhade, S., & Hegde, S. (2020). Improvement of Overall Equipment Efficiency of Machine by SMED. Materials Today: Proceedings, 24, 463–472. https://doi.org/https://doi.org/10.1016/j.matpr.2020.04.298
Brito, M., Ramos, A. L., Carneiro, P., & Gonçalves, M. A. (2017). Combining SMED methodology and ergonomics for reduction of setup in a turning production area. Procedia Manufacturing, 13, 1112–1119. https://doi.org/10.1016/j.promfg.2017.09.172
Cakmakci, M. (2009). Process improvement: performance analysis of the setup time reduction-SMED in the automobile industry. The International Journal of Advanced Manufacturing Technology, 41(1), 168-179. https://doi.org/10.1007/s00170-008-1434-4
Connolly, C. (2003). Using machine vision in assembly applications. Assembly Automation, 23(3), 233–239. https://doi.org/10.1108/01445150310486486
Demeter, K., & Matyusz, Z. (2011). The impact of lean practices on inventory turnover. International Journal of Production Economics, 133(1), 154–163. https://doi.org/10.1016/j.ijpe.2009.10.031
Frustaci, F., Perri, S., Cocorullo, G., & Corsonello, P. (2020). An embedded machine vision system for an in-line quality check of assembly processes. Procedia Manufacturing, 42, 211–218. https://doi.org/10.1016/j.promfg.2020.02.072
Herlambang, H. (2020a). Six Sigma Implementation in Connector and Terminals Manufacturing Company: A Case Study. Indonesian Journal of Industrial Engineering & Management 1(1), 1-11. https://doi.org/http://dx.doi.org/10.22441 /ijiem.v1i1.9305
Herlambang, Hendi. (2020b). Improving Process Capability of The Electronics Component Company Through SMED. In IJIEM Indonesian Journal of Industrial Engineering & Management 1(3), 167-175.
Herlambang, Hendi, Purba, H. H., & Jaqin, C. (2021). Development of Machine Vision to Increase the Level of Automation in Indonesia Electronic Component Industry. Journal Européen Des Systèmes Automatisés, 54(2), 253–262. https://doi.org/10.18280/jesa.540207
Karam, A. A., Liviu, M., Cristina, V., & Radu, H. (2018). The contribution of lean manufacturing tools to changeover time decrease in the pharmaceutical industry. A SMED project. Procedia Manufacturing, 22, 886–892. https://doi.org/10.1016/j.promfg.2018.03.125
Keyence. (2019). Vision Sensor Setting Techniques. https://www.keyence.com/ss/products/sensor/sensorbasics/spreq/download/
Michels, B. (2007). Application of Shingo’s Single Minute Exchange of Dies [Wisconsin-Stout].
Nakeenopakun, N., & Aue-u-lan, Y. (2019). An Application for the Geometrical Based Optimization for a Common Tool Design in Cold Forging Process. Materials Today: Proceedings, 17, 1702–1710. https://doi.org/10.1016/j.matpr.2019.06.201
Oakland, J. S. (2008). Statistical Process Control. In Journal of Petrology (Sixth Edit). Elsevier.
Roth, N., & Franchetti, M. (2010). Process improvement for printing operations through the DMAIC Lean Six Sigma approach: A case study from Northwest Ohio, USA. International Journal of Lean Six Sigma, 1(2), 119-133. https://doi.org/10.1108/20401461011049502
Semeniuta, O., Dransfeld, S., Martinsen, K., & Falkman, P. (2018). Towards increased intelligence and automatic improvement in industrial vision systems. Procedia CIRP, 67, 256–261. https://doi.org/10.1016/j.procir.2017.12.209
Shingo, S. (1985). A Revolution in Manufacturing : The SMED System. The Japan Management Association.
Shorrock, S. T., & Kirwan, B. (2002). Development and application of a human error identification tool for air traffic control. Applied Ergonomics, 33(4), 319–336. https://doi.org/10.1016/S0003-6870(02)00010-8
Simões, A., & Tenera, A. (2010). Improving setup time in a Press Line–Application of the SMED methodology. IFAC Proceedings Volumes, 43(17), 297-302. https://doi.org/10.3182/20100908-3-PT-3007.00065
Sousa, E., Silva, F. J. G., Ferreira, L. P., Pereira, M. T., Gouveia, R., & Silva, R. P. (2018). Applying SMED methodology in cork stoppers production. Procedia Manufacturing, 17, 611–622. https://doi.org/10.1016/j.promfg.2018.10.103