照明系統決定了作業環境的基本功能，良好的照明系統可以節約能源、降低成本及提高環境品質。有鑒於此，各國依產業屬性不同明定照明規範標準，以達到基本照明需求與節約能源的目標。自18世紀發明人工光源發展至今，照明已成為人類基本需求，而照明的耗能也逐年的成長，直至21世紀的今日人類開始正視地球資源有限，所以近年來致力開發高效率的節能照明系統並倡導綠色運動，但消費者在照明產品之選購上只能往往藉助於經驗，缺乏一套有系統的評估方法。
因此，本研究以工廠照明系統作為研究對象，首先依據工廠的不同區域的照明環境進行定義與照明需求的設定，利用目標規劃的技術來建構決策模式，並根據決策者心中欲達成之目標，以並進目標規劃與優先順序目標規劃來求解四種不同情境，分別為 (1)總耗能最小化目標優先達成、(2)生命週期總成本最小化目標優先達成、(3)照明系統盞總數最小化目標優先達成、(4)多目標共同達成等四個目標式，並使用LINGO作為求解的工具軟體，接著進行實證研究，以個案公司所提供之資料進行實際資料驗證模式，並對模式中的各項參數進行敏感度分析，以找出各參數對於模式的影響性，最後提出未來可行的研究方向供後續研究者作為參考。

關鍵詞：照明系統、目標規劃法、生命周期成本

The lighting system is the enssential part of the workplace. Selecting a good lighting system could save energy, reduce the electricity cost and improve environmental quality. For this reason, every country has its own the lighting security specifications to achieve the basic requirements for lightings and energy-saving.
Since the artificial light was invented in the 18th century, it has become the basic needs in human life. However, the lighting energy consumption is growing year by year. Until now, we begin to face the limited resources and trigger the development of high-efficiency energy-saving lighting systems and promote green movement. However, consumers select the lighting products by their own experiences instead of using a systematic assessment method.
Therefore, in this study, we propose a systematic method for selecting the lighting systems in factories. In this method, we first define the lighting requirement according to different regions of the factory space. Then, goal programming techniques is used to construct the decision model and to obtain the optimum layout by four different objectives. Specifically, the non-preemptive goal programming and preemptive goal programming methods are used to solve four different scenarios. The four decision making objectives are: (1) preemptive minimum energy used, (2) preemptive minimum life cycle cost for lighting systems, (3) Preemtive minimum total number of lighting equipment, and (4) Non-preemtive for all objectves. The software LINGO is used as the tool to solve the example in real environment. Finally, sensitivity analysis is used to to examine how each variable influences the model and to provide possible directions for future research.
Keywords：Lighting system, goal programming, Life cycle cost

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