隨著全球綠色意識的高漲，企業的商業流程紛紛針對環保議題提出解決之道。大部分的作法為使用計算碳排放與汙染物質的永續性軟體進行計算，提供高階管理階層作為決策參考。 但是，目前用於計算的永續性軟體要求使用者正確地有關產品的相關資料，分別為任務的投入物料、任務的產出半成品與任務的順序，並且根據不同的生產環境指派參數。但是上述的欄位必須為人工手動輸入，因此於填入欄位時容易造成錯誤，導致計算的結果無法作為決策管理的依據。 根據過去的研究，流程探勘能夠分辨活動順序的問題，其中啟發式探勘為該領域表現較佳的演算法，但是演算法本身還有一個缺失，其缺失是沒有考量到活動投入的物料與活動產出的半成品，所以流程模型會將不同投入物料的活動視為相同，因此無法正確提供活動順序於使用者參考。 因此，本研究繼承啟發式探勘演算法，並且在資料蒐集上增加考慮活動投入物料與產出半成品的維度，同時運用彩色斐氏圖來建立流程模型。 Nowadays, the green issue has become a widely discussed topic in the business process. More and more corporations try to find an efficient way to solve this problem. The most common way is to compute carbon emission and pollution material by sustainability software. When users operate sustainability software, they have to key filed which is not only the sequence of activities, but also input materials and output materials of each activity correctly. Furthermore, users must assign production parameter which could reflect on different manufacture environment. However, the process of enter the fields is completely manual, so it occurs error probability higher than automatic device. The heuristics miner algorithm has better performance than other.theless, there is a disadvantage which the algorithm with heuristic miner algorithm, which it is no consideration of data attribute of input material and out work in process (WIP). The research would adopt heuristics miner algorithm and consider the attribute of input material and out work in process. In addition, we choose coloured Petri net to summarize the process model.
