| 摘要(英) |
The laptop industry’ market size reached 240 million units in 2021, which is an important industry. Quality plays an important role in the laptop industry, this study will take the laptop industry as a case study to explore the application of automated measurement. Collect data and apply appropriate quality management tools and methods to improve quality management, and the experiment summarizes the quality improvement results brought by automated measurement.
In 2020~2022, due to the novel coronavirus (COVID-19) epidemic, regional lockdown was carried out to control the spread of the epidemic, employee couldn’t go to work in factories, and the industry was shut down without output, which spread to Asia, Europe, Africa and the Americas. The epidemic lockdown and lacking of person forced enterprises to accelerate the adoption of automation as an alternative. However, from personnel sampling measurement to 100% automation, from systemless monitoring to standardization, there are doubts about whether the existing quality level can be reached or even surpassed, so quality control in the production stage is quite important.
This study uses a case study method to explore automated measurement and quality management in the notebook industry, using Process Approach, combined with the "PDCA" (Plan-Do-Check-Act), which enables companies to plan processes and interactions. The PDCA method can enable companies to ensure that their processes are adequately resourced and managed, identify improvement opportunities and improve, use Ishikawa Diagram to systematically analyze the root cause, standardize customer complaint process analysis Steps of products, secondary data import Point Laser Automatic Collection Mode, so that products can be 100% measured, data information flow unification, trial production period through CPK data analysis. Find out the best production key stations and process parameters, mass production uses SPC to set the upper and lower limits of control to monitor quality variation, learn from mass production or in production of problem, as the follow-up new product improvement, reduce the damage in the development stage, in order to deal with quality issues, can be more systematic, accurate and fast to reply to the problems faced, so as to improve the overall quality effect. |
| 參考文獻 |
英文文獻：
S. Bersimis, S. Psarakis, J. Panaretos (2006) " Multivariate statistical process control charts: an overview " Quality and Reliability Engineering International, Vol.23 No.5, pp. 517-543.
Y.C. Chang , Chien-Wei Wu (2008), " Assessing process capability based on the lower confidence bound of Cpk for asymmetric tolerances " European Journal of Operational Research, Vol.190 No.1, pp. 205-227.
Christian Demant, Bernd Streicher-Abel, Carsten Garnica, Industrial Image Processing: Visual Quality Control in Manufacturing, Second Edition, Springer Science & Business Media, Germany, 2013
Douglas C. Montgomery, Introduction to Statistical Quality Control, eighth Edition, USA, 2020
Harding, K. G. (1990) "Current State‐of‐the‐Art of Contouring Techniques in Manufacturing" Journal of Laser Applications, Vol. 2 No. 3, pp. 41-47
Yourstone, S. A., & Montgomery, D. C. (1991), "Detection of process upsets—sample autocorrelation control chart and group autocorrelation control chart applications" Quality and Reliability Engineering International, Vol.7 No.3, pp. 133-140.
Atienza, O.O., Ang, B.W. and Tang, L.C. (1997), "Statistical process control and forecasting", International Journal of Quality Science, Vol. 2 No. 1, pp. 37-51
Stanley L. Robinson, Richard Kendall Miller, Automated Inspection and Quality Assurance, First Edition, CRC Press, USA, 2019
Nancy R. Tague, The Quality Toolbox，Second Edition, ASQ Quality Press, USA, 2009
Andrew H. Van de Ven, Engaged Scholarship A Guide for Organizational and Social Research, First Edition, OUP Oxford, UK, 2007
Donald J. Wheeler, David Smith Chambers, Understanding Statistical Process Control, Second Edition, SPC Press, USA, 2010
中文文獻：
清威人，智慧工廠：迎戰資訊科技變革，工廠管理的轉型策略，經濟新潮社，日本，2018
石川馨，品質管理入門，日科技連出版社，日本，1989
網路部分：
W公司訊息，(2022/12)檢索於，https：//www.wistron.com/CMS/FinancialMessage？pageId=34
基恩士線資訊，(2022/12) 檢索於，台灣基恩斯股份有限公司 (keyence.com.tw)
MES/MOM Certificate of Competency (2022/12)檢索於，https://mesa.org/training-events/certificates/mes-mom-certificate-of-competency/ |
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