| 摘要: | 筆記型電腦產業在2021年其市場規模達產2.4億台，為一重要產業，而在筆記型產業之中品質扮演重要角色，可以說是沒有品質就沒有市場，本研究將以筆記型產業為研究案例探討自動化量測應用進而蒐集數據再套用適當品質管理工具及方法以求品質管理改良且試驗總結出自動化量測帶來的品質改善成果。
2020~2022年更因新冠肺炎 (COVID-19)疫情，進行區域封鎖管控疫情擴散，人員無法到工廠上班，產業一度停擺無產出，這樣的情况蔓延至整亞洲、歐洲、非洲、美洲，疫情封控及人員缺乏迫使企業加速採用自動化為替代方案。但從人員抽驗量測到100%自動化，從無系統監控到標準化，都存在著是否能達到現有的品質水準甚至超越之疑慮，故在生產階段的品質控制顯得相當重要。
本研究採用個案研究法探討筆記型電腦產業自動化量測與品質管理，參考過程方法，並且結合了William Edwards Deming 於1950年提出之“PDCA”(即策劃-實施-檢查-處置)循環，過程方法能夠使公司策劃過程以及相互作用。PDCA循環法可以使公司能夠確保其過程得到充分的資源和管理，確定改進機會並行動改善，利用特性要因圖有系統的層析造成不良問題的原因，從中建立產品的客訴流程分析步驟並標準化後推廣，次級資料導入點激光自動化搜集模式，使產品可以100%量測，數據資訊流的統一，試產期透過CPK(精準度)數據分析。找出最佳生產關鍵工站與製程參數，量產運用SPC(Statistical Process Control)設定管制上下限監控質量變異，借鑒這些量產過或正在生產中的不良原因，做爲後續新產品改進與改善方向、降低開發階段的不良損害，以期在處理品質議題上，能更有系統、更精確且快速地回覆所面臨的問題，進而提高整體質量成效。;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. |
