傳統產業導入營運數據建模之研究-以傳產R公司為例

以代工為主的傳統產業，面對現今競爭激烈的電商環境，要如何訂出有競爭力的生產製造程序、銷售策略，乃至人員訓練、機組運轉效能、營運管理策略等等，無不嚴厲的考驗企業應變的能力。因此在若能藉由數據資料建模與分析，彙總出有效的企業營運、市場銷售等資訊，以協助企業制定營運策略，有效提升企業數據價值與營運效率，如此才能讓傳統產業在現況競爭激烈的環境下有著新的生存契機。　　大數據的應用，在理論架構和硬體能力的進化下，已逐漸變成顯學和趨勢，而傳產因為資金和人力的不足，以及原始數據收集欠缺規劃，造成不當資料或資料短缺等情況實屬嚴重，因此傳產企業當在要踏入數據分析領域時，不免裹足不前，茫然無向而無從做起。　　本研究之目的，在研究如何將傳產現有的資料加以清洗、分類整理，並運用工具(使用SPSS)做整理過的資料之迴歸分析，以產生可評估量化且適用之參考模型，進而讓傳產企業中的資料，能妥善彙總與分析出有效用的營運資訊，以幫助傳產企業在生產模式與營運決策上能獲得高效率且精準的預測資訊，讓傳產企業在激烈商業競爭環境下，開創藍海，產生新的獲利模式。　　本研究結果顯示，在一般狀況下，模型導出之公式對次季之銷售額等預測更為精準，是有較佳的參考價值。

關鍵字

中小企業；傳統產業；製造業；數據分析；數據建模

並列摘要

In the traditional OEM-based industry, nowadays, facing extremely competitive e-commerce environment, and how to draw up competitive manufacturing procedures, sales strategies, and even personnel training, unit operation efficiency, operation management strategies, etc., these are strictly given the test of the ability for the enterprises. As a result, if data modeling and analysis can be used to summarize effective business operations, marketing, and other information to help enterprises formulate operational strategies, and effectively improve the value of business data and operational efficiency, the traditional industry can have new opportunities under the current competitive environment. Under the evolution of the theoretical structure and hardware capabilities, the application of big data has become an obvious phenomenon and trend. Due to the lack of funds, manpower, and the poor or shortage of original data, the transfer of production is about to enter the field of data analysis. Otherwise, you will not be able to start and to know the right direction. The purpose of this study is to arrange, classify, and sort the existing data from the traditional industry, and to apply tools (using SPSS) to perform regression analysis of the sorted data to generate a quantifiable and applicable reference model to allow the data to be available. It can help the operation of transferring production or generate a new profit model. The results of this study show that under general conditions, the formula derived by the model has reference value for the forecast of sales in the next quarter.