國內預鑄工法的技術發展已相當成熟，無論在建築工程或是土木工程都有相當廣泛的應用，在工期、品質、現場環境等方面也較傳統工法更具優勢，且隨著勞動成本逐年增長，有鑑於預鑄工法能降低對於人力的需求，因此可期預鑄工法在未來市場將更具競爭力。然而，預鑄生產仍具備營建產業高度不確定性的特性，在面對大量或急迫訂單時，資源的規劃與分配顯得格外重要。若在生產規劃環節中仍依經驗法則作為基礎，這樣的做法可能會提高生產成本，或造成不必要的資源浪費，進一步影響預鑄產業的發展。因此本研究目的為建立出一個能夠有效模擬預鑄構件生產現況與流程的模型，嘗試將堆存空間以及生產過程的不確定性納入考量，使預鑄廠商在生產規劃環節能互相權衡各項資源與成本，在短時間內以客觀的依據提出最適化生產規劃。
本研究使用Arena 模擬軟體建構出可模擬專案性質預鑄構件生產流程的模型，並透過模擬最佳化工具OptQuest搜尋生產總成本最低之資源配置組合，執行模擬並分析該資源配置組合的規劃策略是否符合限制以及常理預期。經過不同情境案例的結果分析發現本研究建立的模型與最佳化模式會根據不同的情境給出最小化生產總成本的生產配置建議，且建議的生產策略符合預期的結果，例如:當出貨間隔縮短時，OptQuest搜尋結果建議配置更多的底床、模具與人力資源以滿足不延遲超過7天的限制，並維持生產步調略大於出貨期程的配置策略。

The domestic precast construction method has undergone significant technological advancements, making it a widely used and mature approach in architectural and civil engineering projects. It offers several advantages over traditional methods, including improved project duration, quality, and on-site environment. With rising labor costs, precast construction is expected to become more competitive due to its reduced reliance on manual labor. However, the inherent uncertainty in precast production poses challenges, especially in efficient planning and resource allocation for large or urgent orders. Relying solely on empirical rules in production planning can lead to increased costs and resource wastage, hindering industry development.
This research aims to establish an effective model to simulate the current status and processes of precast component production. The model incorporates uncertainties related to storage space and production processes, enabling precast manufacturers to optimize resource allocation and costs during production planning. The objective is to provide an optimized production plan based on objective criteria within a limited timeframe.
The study utilizes Arena simulation software to construct a model that simulates the production process of project-specific precast components. The OptQuest simulation optimization tool is employed to find the most efficient resource allocation combination that minimizes total production costs. The simulation results are analyzed to assess whether the recommended resource allocation strategies align with specified constraints and expectations.
The analysis of various scenarios demonstrates that the developed model and optimization approach provide production configuration recommendations that minimize overall production costs. The suggested strategies consistently align with expected outcomes. For example, when the shipment interval is shortened, the OptQuest search results recommend allocating additional resources such as foundation beds, molds, and labor to avoid delays exceeding seven days. Furthermore, the suggested production plan maintains a slightly accelerated production pace ahead of the shipping schedule.

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