因此本研究擬以資料探勘的方式使用SPSS CLEMENTINE 12，應用其關聯法則、Apriori演算法及分析使用軟體，了解員工對於光學模具產業影響之關鍵績效指標如人員、機械設備、物料、環境及管理因素之關聯性。研究目的在於透過資料探勘方式探討光學模具產業中的關鍵績效指標關聯性之影響。並針對光學產業用模具之關鍵績效指標發展分析，期能為我國光學模具產業提供具創新性及前瞻性的發展方向。 Optical mold industry at Taiwan attacked by downstream industry continue move out in recent year and financial crisis effect at last year, bring deep decrease about inter-market.
Originally for mass marketing exclusive by cheep prices, it’s emerge M-type of distribution by face Strength competition of middle & low price mold at China & Korea and optical production’s mold need high nano-machine. It is very difficult in integrated business environment.
So we need think transfer target at mold factory owner in Taiwan and focus research product & technology and talented person training toward explicit mold’s encumbrance of technology R&D、Knowledge Management、Intellectual Property、Business Intelligence by HI-EXACTNESS、HI-SPEED、HI-DEEP&WIDE Ratio.
In order to enhance the added value of products with the mold talent forward-looking layout, would not only be a result of rapid change in industry trends, more is eternal survival, The mold industry is the foundation of the industrial products, and it’s also act an important Role .
In order to objectively diagnose their relevance, companies need to allow flexibility to fine-tune the organizational structure, so that the major functions of various departments to play to the best performance processes. Therefore, this study is intended to Data Mining Research Methods for using in a way through the Data Mining SPSS CLEMENTINE 12, application of the association rules, Apriori algorithm and analysis of the use of software.
Research target for exploring ways through data mining optical mold industry in key performance index and dies for the optical industry''s key performance index developed for an analysis, a view to die for our industry to give an innovative and forward-looking direction of development.
