本文應用Petri Net資訊流結合Timed Petri Net理論、Stochastic Petri Net與Petri Net之數據流計算整合資訊傳遞概念、計算數據及時間參數的生產與組裝預估時間之LED舞台燈創研流程設計與製造流程模型。本文在生產流程中加入「機率」的概念，預先設想可能發生之突發狀況，使整個生產流程更接近現實狀況，並在組裝流程中加入製造前置時間流程規劃的功能，能使後續製造流程避免不必要的成本及時間的浪費，同時也能讓使用者更了解整體設計及製造流程架構之間的關係。本文又應用Timed Petri Net理論、Petri Net理論與Petri Net數據流計算建立具有計算數據、時間參數及計算設計與組裝前置時間之流程模型，應用於LED舞台燈之產品功能為主的修正式決策實驗室分析法(修正式DEMATEL)，結合產品功能和修正式分析網路程序法(修正式ANP)之修正式DANP法，進行評選出優先產品功能改善方案。本文亦將Petri Net資訊流相關理論、設計及製造流程規劃所需的相關知識，及結合產品功能之修正式DANP法等設計與製造相關理論知識與相關專利知識，輸入擴充至創研流程相關理論知識私有雲及LED舞台燈專利知識庫中，如此可增加舞台燈相關知識，讓使用者易於學習，本文並將物料需求規劃、主生產排程規劃、庫存管理與製程規劃等等的相關知識加入到創研流程相關理論私有雲，以及將日文專利加入到專利公有雲及排程軟體加入到遠端商業軟體私有雲，使其能應用於創研流程架構模型，讓製造生產流程架構與相依關係更完善。

The paper applies the innovative R&D process design and manufacturing process model of LED stage light, with prediction of production and assembling time that combines Petri Net information flow, Timed Petri Net theory, Stochastic Petri Net and Petri Net dataflow calculated and integrated information transmission concept, calculation data and time parameters. The paper adds the concept of “probability” to production process. Preconceiving the unexpected events that will possibly happen would make the whole production process closer to the real situation. The paper also adds the function of manufacturing lead time process planning to assembling process, avoiding unnecessary waste of cost and time to subsequent manufacturing process. Meanwhile, users can also understand more about the relationship between overall design and manufacturing process framework. The paper applies a process model, which is established by Timed Petri Net theory, Petri Net theory and Petri Net dataflow calculation, and possesses calculation data, time parameters, and calculation of design and assembling lead time, to a product function-based modified Decision-making Trial and Evaluation Laboratory (modified DEMATEL) of LED stage light. Modified DANP method, which combines product functions with the modified Analysis Network Process (modified ANP), is employed to perform selection of a prioritized improvement plan of product function. The paper also uses Petri Net information flow-related theory, the related knowledge required for design and manufacturing process planning, and the modified DANP method with product function, being design and manufacturing-related theoretical knowledge and the related patent knowledge. The above knowledge is entered and expanded to the private cloud of theoretical knowledge relating to innovative R&D process and knowledgebase LED stage light patents. In this way, stage light-related knowledge can be increased for users to learn more easily. The paper also adds the knowledge of material requirement planning, master production scheduling, inventory control and process planning, to the private cloud of theories about innovative R&D process. The paper also adds the Japanese patents to the public cloud of patents, and adds scheduling software to the private cloud of remote commercial software. As a result, they can be applied to innovative R&D process framework model; and the manufacturing and production process framework and mutual dependence relationship can be more complete.

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