隨著半導體晶圓代工廠規模日益擴大,在知識工作者的數量比例遽增,以及面臨自動化程度及人工成本逐年升高之工廠環境下,廠內工程人員及技術操作員所扮演的角色越來越重要,製造人員最適人力規劃與人員生產力的提昇儼然成為重要課題。然而,半導體晶圓代工廠的人力規劃決策影響因子眾多,在不同決策者的偏好結構下如何真正反應工廠的實際人力需求是一大難題。 本研究回顧相關文獻,依據決策分析中的紫式決策分析架構發展晶圓代工廠之人力規劃決策模型,同時利用深度訪談法以萃取領域專家的知識,建立相關績效評估指標為管理依據,輔以戴明循環為基礎的管理機制,整合成一套兼具提昇半導體晶圓代工廠人力管理合理性、員工生產力及公司競爭力的人力規劃決策模型與管理機制,以利工廠營運效率及員工生產力的提昇。並以某半導體公司為實證,在不影響研究效度及分析下,本實證研究中的資料及指標已做必要之修正,以保障產學合作研究公司之營業機密,研究結果已證明本研究之效度。
With the scale of semiconductor foundry increases, the amounts the knowledge-workers also raise hugely. Besides, we are facing the situation that the cost of automation and manpower is ascending year by year, and the engineers and technical operators play more and more important roles in the factory. The best headcount plan of manufacturing and the improvement of productivity have become an essential topic. However, many factors would affect the headcount plan of manufacturing in a semiconductor foundry. How to reflect the real demand of manpower under different decision makers’ preferences is a difficult problem. This research aims to employ UNISON decision analysis framework and construct the optimal operation headcount planning model for semiconductor manufacturing. We also discuss with domain experts to build up key performance index for management. An empirical study was conducted in a semiconductor company for validation. The results showed that the proposed framework can assist the company to develop an operation headcount planing model and associated management mechanism improving the decision quality and rationality to enhance people productivity and human capital to thus maintain corporate competitiveness.