目前彈性生產需求日益增長，這意味著市場面向小批量和高差異性的大量客製化趨勢邁進，生產環境內之決策者包含管理階層、生產調度人員以及作業人員等族群將面臨大幅增加的頻繁作業變動。這樣的作業模式對於倚靠人力的製造產業可能使調度導致失誤的機會增加。因此近年來各國政府依據自身優勢部署不同的工業戰略，資訊化、物聯網、智慧製造等概念分別涵蓋在不同的戰略中，以應對即將到來的轉型挑戰。然本國許多製造工業已累積多年領域知識與管理經驗，因此本研究導入工業3.5之混合策略於台灣隱形冠軍紡織產業，改善染整工段機台調度作為實證研究，以提升對顧客訂單反應能力。本研究建構基於領域知識與智慧的決策模型，以產能利用最高為決策目標以及考慮調度限制，發展數學規劃來描述非等效平行染機之排程，並透過演算法實現數學模型，並建構加強可視化之決策支持系統，進而避免人為疏失的錯誤。
本研究實證台灣染整業如何通過資訊化技術與管理之整合，提升作業效率與品質，如排程演算法大幅節省排程規劃時間並加大了涵蓋期長。以及開發之排程視覺化工具等，皆是透過管理與作業的資訊化加強競爭優勢，由基礎的作業層面推動智慧製造，作為製造工業推動智慧製造之範例。

Since 2013, many countries propose their manufacturing strategy, such as Industry 4.0 of Germany, Industrial Internet of USA and Manufacturing 2025 of China. The governments among countries deploy the different strategies based on own advantage to confront the upcoming challenges. One of the challenge is the increasing growth of the needs of production flexibility which means the market is trending toward small-volume and large-variety to fulfill the needs of mass personalization. Therefore, the strategies above contain the concepts of informatization, internet of things and smart manufacturing. Decision makers, such as managers, production scheduling planners and operators, will face an increase number of frequent changes, and will increase the frequency of mistakes for scheduling. In this study, a flexible decision model with domain intelligence is proposed and a visualized decision support system to maximize profit and avoid the mistakes from violating constraints of scheduling is developed. The proposed flexible decision model and decision support system as realizing Industry 3.5 strategy are implemented in scheduling for fabric dyeing machines of a textile company in Taiwan. This study illustrates the possible solution and strategy for companies in Taiwan to strengthen their competitive advantage and accomplish flexible decision and smart production via integration of informative technology and management.

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