隨著資訊與技術的快速發展，世界經濟之發展速度已經遠比過去要快速許多，許多傳統產業與科技產業之企業家莫不投入開發新興產業，以使企業能達到永續經營的目標。在發展的過程中，企業主需要時常檢視產業的趨勢與同業的競爭，以求能快速制定策略予以反應。其中決策分析(Decision Analysis)便是在反應的過程中，常常會遇到的一個難題。本研究主要是探討相同的企業營運改善策略，在不同的產品生命週期(PLC)時是否會產生效果上的差異?並以數值分析該差異所造成的決策影響。 新興產業中又以綠能產業最受世界注目，本研究收集台灣民國九十七年至一百零一年間之太陽能模組產業(Solar Module Manufacturing Industry)採購與銷售數據，擷取其最具代表性之兩年- 民國九十七年與民國一百零一年分別做為產品生命週期(PLC)之成長期與成熟期之代表。再數據化五種常見的企業營運策略 (新產品開發、降低採購成本、降低作業員人數、提高單位產能、改善良率)所可能帶來的效益，並透過敏感度分析，來討論於限制資源下，這些策略所能帶來的效益比重，用以引導企業以最佳效益進行營運改善。With the rapid development of information and technology, the pace of development of the world economy is much faster than the past. For the reason of sustainable management, many traditional industries and the technology industry entrepreneurs are dare to invest in developing new industries. To make rapid respond, company owner needs to estimate trend and review surrounding competition, in the progress of glowing. Decision analysis is the issue we always have during thinking or estimating situation. This study is discussing the decision analysis between two diffident stages of a Product Life Cycle (PLC). And review the decision result by numeral analysis. In this study, we focus on Solar Module Manufacturing industrial and collect the price information about raw materials, Manufacturing machines and end product. We take year 2008 and 2012 as the example, Growing stage and Mature stage of a PLC. Simulate and compare result by inputting five common business operation strategy (Develop new product, reduce material cost, reduce operators, upsize capacity, reduce quality cost.). We wish to find the best value solution by sensitivity analysis, so that company can adjust strategy for diffident completion situation.
