連續型生產存在兩個主要關鍵生產特性：原料物質轉化過程存在不確定性與高度依賴反應槽設備的可靠度，此兩點特性影響整體產出。本研究之研究對象為微生物發酵量產專業企業，該案例所屬之生物科技產業背景隸屬於連續型生產。微生物發酵為生產核心主軸，其別於一般生產流程中零件組合的方式，微生物細胞在不同反應槽中的一系列變化視為連續製程中的不同生產線，其中不僅涉及微生物的生長變化，還包括管理設備以維持有效的生產條件。驅動生產為其製程的生產排程，而主要生產設備的可靠度則關鍵決定生產力。同時鑒於案例現況無執行任何排程且設備管理皆為紙本人工作業之狀況下衍生諸多問題，因此本研究聚焦改善於排程以及設備維修管理之兩議題。
數位化浪潮推動企業實施數位轉型，在此背景下智慧維修(Smart Maintenance)的概念應運而生，其旨在運用現代數位技術，優化設備維修管理。本研究針對排程與設備管理，透過資訊流圖(Information Stream Mapping, iSM)方法辨識資訊流中得以改善的機會。本研究運用Microsoft Excel Visual Basic for Application (VBA)建構易操作排程系統以及透過Microsoft 365®中Microsoft Power Apps®和Microsoft SharePoint®建構智慧化設備管理平台，並實踐數位系統之應用，助於企業達成數位轉型，同時從中提升管理精度並優化資訊流程。
導入排程系統，以改善物料需求計劃(Material Requirements Planning, MRP)系統因其固定的計算方式而難以適應此產業製造特性牽涉複雜的化學反應變化。同時iSM之五項指標皆有所改善，且排程作業資訊處理流程時間降低了88%。
導入智慧化設備管理平台，使得實現即時資訊呈現、有效追蹤設備維修進度、資料收集與雲端儲存運算，促進資訊視覺化及整合管理，達成智慧維修，奠定改善設備可靠度的良好基礎。同時iSM之五項指標皆有所改善，且設備管理資訊處理流程時間大幅減少97%。

Driven by the trend of digitization and Industry 4.0 advancements, enterprises are embracing digital transformation and Smart Maintenance to stay competitive. However, many companies face challenges in initiating digital transformations effectively.
The current work flow of this study case is all manual work, which leads to many problems. Therefore, this study employs Information Stream Mapping (iSM) to analyze information flow, identifying areas in scheduling and equipment management ripe for improvement. Subsequently, two digital systems are developed to aid digital transformation and enhance production efficiency:a highly flexible digital scheduling system using Microsoft Excel VBA, caters to the dynamic changes in Microbial Fermentation Processes, and a Smart Equipment Management Platform within Microsoft 365, incorporates an Equipment Maintenance Management App utilizing Microsoft Power Apps and Microsoft SharePoint. Data analysis through Microsoft Power BI provides data visualization and valuable insights for continuous improvement.
Results reveal significant enhancements across iSM performance indicators, leading to remarkable reductions in scheduling process times by 88% and 97% for scheduling and equipment management, respectively. Real-time information presentation, efficient maintenance tracking, and data-driven decision-making capabilities are achieved through these digital systems, at the same time, Smart Maintenance practices.
In conclusion, this study addresses critical production challenges by introducing digital solutions to enhance operational efficiency, standardize procedures, and optimize information flow. Leveraging digital tools for real-time visualization and data management, it sets a robust foundation for continuous improvement and strategic decision-making.

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