本課程以進階統計分析方法在食品製程管理領域的應用，藉由結合理論與實務案例，培養學生運用數據進行製程決策與問題解決的能力。課程內容以品質管制為主，並搭配軟體操作演練，以強化學生實作能力。課程特別著重於案例的探討與資料應用，包括品質控制資料解讀、生產異常識別、製程優化策略等，並透過統計分析，訓練學生從數據中萃取管理意涵並提出決策建議。本課程旨在提升學生在食品產業中運用統計工具與數據思維進行製程管理與決策之專業素養，培育具備實證分析能力之食品製程管理專業人才。

This course uses advanced statistical analysis methods to apply in the food process management field, and cultivates students' ability to use data to solve process decisions and problem by forming reasonable discussions and practical cases. The course content is mainly quality control and is combined with software operation and practice to enhance students' practical abilities. The courses specifically focus on case exploration and data application, including quality control data interpretation, production abnormality recognition, process optimization strategies, etc. Through statistical analysis, trainees extract management implications from data and put forward decisions. This course aims to enhance students' professional qualities in using statistical tools and data thinking in food production to manage processes and make decisions, and cultivate professional food process management talents with practical analysis capabilities.

1. Oakland, J. S.. Statistical process control. (5th ed.) Butterworth-Heinemann.
2. 品質管理：理論與實務(3版)，潘浙楠，華泰文化，2016/01/27
3. 教師補充教材

1. Oakland, J. S.. Statistical process control. (5th ed.) Butterworth-Heinemann.
2. Quality Management: Theory and Practice (3rd Edition), Pan Zhejiangnan, Huatai Culture, 2016/01/27
3. Teachers supplement textbooks