計畫名稱 : 半導體晶圓廠房的4D虛擬實境施工排程及最佳資源整合之研究
摘要:
半導體晶圓廠的新建廠工程在面對不確定因子與隨時間改變的條件時,對人力調派、機具動線安 排、場鑄與預鑄、與各樓層結構施工配合先後順序工項等,常需同時全盤考量在施工決策裡,並可以 隨時變更成最新施工參考版本,然而,以現存的建築資訊模型(Building Information Modeling; BIM) 3D 模型,對於隨時間軸呈現最新施工進度與預知未來可能發生施工衝突的功能是有限的,以致難以 落實在現場實際執行計畫之中,影響場、預鑄、各樓層結構施工工期完成日。此外,資源分配不平衡 干擾預鑄原始動線規劃造成施工衝突的問題伴隨而來。本研究計畫將全程分兩個部分在兩年的時間進 行,針對半導體晶圓廠新建廠土建工程 FAB Building 下部結構工程、上部結構工程之施工,發展一套 有效的決策分析方法,透過動線模擬模型,來精確獲得各場鑄、預鑄、鋼構吊裝、各樓層結構工項完 整的排程資訊與最短工期的施工規劃,以達新建廠工期縮短之目的,並透過立體 3D 模組的建置與呈 現來了解工程隨時間進行狀況與進度之改變,並運用虛擬實境(virtual reality,VR)的技術建立一套 結合 3D 模型、模擬模型、4D、VR 及 enforced contract 的整合式系統平台,有效掌握了解未來每日現 場施工之變異問題,並提早進行布局予以解決。
本研究也發展 4D 智慧型排程啟發式演算法,第一步 驟先以空間軸上的機具動線與物料放置,結合時間軸上的施工順序與資源使用時間,尋找出滿意的場 鑄與預鑄、以及各樓層結構施工工法搭配解,第二步驟改善第一步驟所求出的初始解,提出一個同時 考量場鑄、預鑄、各樓層結構施工施工時間、機具及人力資源使用量等的場鑄、預鑄區、各樓層結構 區之施工規劃的數學規劃模型,在各式資源配置、施工順序、與空間規劃等限制條件之下,求解最佳 化多目標規劃問題,以便智慧地推導最短時程及最佳資源分配,以期符合營建業實際現場施工的要求。 最後,希望本研究成果對半導體及其他高科技廠房營建產業能有實質的幫助,也希望本研究成果有拋 磚引玉的作用,能對其他未來的相關研究有所助益。
摘要:
半導體晶圓廠的新建廠工程在面對不確定因子與隨時間改變的條件時,對人力調派、機具動線安 排、場鑄與預鑄、與各樓層結構施工配合先後順序工項等,常需同時全盤考量在施工決策裡,並可以 隨時變更成最新施工參考版本,然而,以現存的建築資訊模型(Building Information Modeling; BIM) 3D 模型,對於隨時間軸呈現最新施工進度與預知未來可能發生施工衝突的功能是有限的,以致難以 落實在現場實際執行計畫之中,影響場、預鑄、各樓層結構施工工期完成日。此外,資源分配不平衡 干擾預鑄原始動線規劃造成施工衝突的問題伴隨而來。本研究計畫將全程分兩個部分在兩年的時間進 行,針對半導體晶圓廠新建廠土建工程 FAB Building 下部結構工程、上部結構工程之施工,發展一套 有效的決策分析方法,透過動線模擬模型,來精確獲得各場鑄、預鑄、鋼構吊裝、各樓層結構工項完 整的排程資訊與最短工期的施工規劃,以達新建廠工期縮短之目的,並透過立體 3D 模組的建置與呈 現來了解工程隨時間進行狀況與進度之改變,並運用虛擬實境(virtual reality,VR)的技術建立一套 結合 3D 模型、模擬模型、4D、VR 及 enforced contract 的整合式系統平台,有效掌握了解未來每日現 場施工之變異問題,並提早進行布局予以解決。
本研究也發展 4D 智慧型排程啟發式演算法,第一步 驟先以空間軸上的機具動線與物料放置,結合時間軸上的施工順序與資源使用時間,尋找出滿意的場 鑄與預鑄、以及各樓層結構施工工法搭配解,第二步驟改善第一步驟所求出的初始解,提出一個同時 考量場鑄、預鑄、各樓層結構施工施工時間、機具及人力資源使用量等的場鑄、預鑄區、各樓層結構 區之施工規劃的數學規劃模型,在各式資源配置、施工順序、與空間規劃等限制條件之下,求解最佳 化多目標規劃問題,以便智慧地推導最短時程及最佳資源分配,以期符合營建業實際現場施工的要求。 最後,希望本研究成果對半導體及其他高科技廠房營建產業能有實質的幫助,也希望本研究成果有拋 磚引玉的作用,能對其他未來的相關研究有所助益。
Project : A Study of the Construction Scheduling with Virtual 4D Reality and the Optimal Resource Integration in a Semiconductor Wafer fab (PI)
Abstrac:
For experiencing uncertainty factors and time serial variables that include personnel dispatching, vehicle transportation route plan, the order of precast, cast-in-place, and structural floor level construction coordination, etc., in a semiconductor wafer fab, it is imperative that one has to take all variables into consideration to generate the up-to-date construction plan in real time. However, a 3D model with building information modeling (BIM) is limited to the function that expresses the latest construction progress regarding to the horizontal time slot and projects the potential interface conflict of the construction in the near future. The lack of function made it difficult for the 3D model to implement the plan in a real construction project and affect the completion date of the precast, cast-in-place, and structural floor level construction. Moreover, an unbalanced resource allocation would interfere with original in-out transportation routes planning resulting in the conflict of the construction.
The study can be categorized into two parts to complete in two years. In the first year of this study, for the purpose of reducing the construction duration of a new fab, a decision-making analysis approach adopted to derive entire scheduling information of precast, cast-in-place, steel structure erection, and structural floor level construction activities and the construction planning with shortest duration from the route simulation modeling is proposed. By developing 3D module to present the construction condition and progress over time and set up an integrated system platform combined with 3D model, simulation, 4D, virtual reality (VR), and enforced contract by VR technologies, the potential site randomness of the daily construction can be realized and conquered in the early days.
Two steps are performed in the second year of this study. Firstly, an intelligently scheduling heuristic algorithm based on 4D is developed. The proposed algorithm that vehicle transportation route and material stocking yard on the space axis combine with construction sequence and elapsed time of resources on the time axis can find a satisfactory combination solution of construction methods for the precast, cast-in-place, and structural floor level. In the second step, to improve the initial solution in the first step, a construction planning taking account for construction duration, vehicles and labors requirements simultaneously on the precast, cast-in-place, and structural floor level areas is formulated as an optimized mathematical programming model. Constrained by resource allocation, construction sequence, and spatial planning equations, the shortest duration and the optimal resource allocation can be derived intelligently from solving a multiple objective planning problem to fulfill construction industry’s need in the practical on-site construction environment. Finally, it is hoped that the results of this study can benefit semiconductor and high-tech fab construction industries. It is also hoped that this study can provide some helpful insights for the related research in the near future.
Abstrac:
For experiencing uncertainty factors and time serial variables that include personnel dispatching, vehicle transportation route plan, the order of precast, cast-in-place, and structural floor level construction coordination, etc., in a semiconductor wafer fab, it is imperative that one has to take all variables into consideration to generate the up-to-date construction plan in real time. However, a 3D model with building information modeling (BIM) is limited to the function that expresses the latest construction progress regarding to the horizontal time slot and projects the potential interface conflict of the construction in the near future. The lack of function made it difficult for the 3D model to implement the plan in a real construction project and affect the completion date of the precast, cast-in-place, and structural floor level construction. Moreover, an unbalanced resource allocation would interfere with original in-out transportation routes planning resulting in the conflict of the construction.
The study can be categorized into two parts to complete in two years. In the first year of this study, for the purpose of reducing the construction duration of a new fab, a decision-making analysis approach adopted to derive entire scheduling information of precast, cast-in-place, steel structure erection, and structural floor level construction activities and the construction planning with shortest duration from the route simulation modeling is proposed. By developing 3D module to present the construction condition and progress over time and set up an integrated system platform combined with 3D model, simulation, 4D, virtual reality (VR), and enforced contract by VR technologies, the potential site randomness of the daily construction can be realized and conquered in the early days.
Two steps are performed in the second year of this study. Firstly, an intelligently scheduling heuristic algorithm based on 4D is developed. The proposed algorithm that vehicle transportation route and material stocking yard on the space axis combine with construction sequence and elapsed time of resources on the time axis can find a satisfactory combination solution of construction methods for the precast, cast-in-place, and structural floor level. In the second step, to improve the initial solution in the first step, a construction planning taking account for construction duration, vehicles and labors requirements simultaneously on the precast, cast-in-place, and structural floor level areas is formulated as an optimized mathematical programming model. Constrained by resource allocation, construction sequence, and spatial planning equations, the shortest duration and the optimal resource allocation can be derived intelligently from solving a multiple objective planning problem to fulfill construction industry’s need in the practical on-site construction environment. Finally, it is hoped that the results of this study can benefit semiconductor and high-tech fab construction industries. It is also hoped that this study can provide some helpful insights for the related research in the near future.