基本素養 Basic Literacy
課程概述 Course Description本課程將使學生了解作業研究方法在製造與資訊系統上之應用，評估製造與服務系統績效以及最佳化產能規劃與配置，進而改善生產力並提升決策品質。分析模型包含了確定性模式(線性規劃、多準則決策分析、賽局理論等)與隨機性模式(統計決策理論、隨機規劃、馬可夫決策過程等)，結合工程與管理領域的相關知識，應用於供應鏈、網路最佳化、醫療疾病篩檢、維修可靠度、製造排程、績效評估、選商與訂單配置、庫存控制等，透過工廠參訪與實作練習，藉由統計與最佳化的方法有系統地建模以解決實務問題。
This course will provide students to learn the methodologies of operations research applied in manufacturing and information systems. We evaluate the performance of manufacturing and service systems and optimize capacity planning and allocation for improving productivity and decision quality. The models include deterministic models (such as linear programming, multi-criteria decision analysis, game theory, etc.) and stochastic models (such as statistical decision theory, stochastic programming, Markov decision process, etc.). The course integrates the knowledge domains of the engineering and management, applied in supply chain, network optimization, health-care and preventive medicine, maintenance reliability, manufacturing scheduling, performance evaluation, vendor selection and order allocation, inventory control, etc. We join the business visits and field survey, and develop the ability of implementation in practice. Finally we should know how to solve the real problem systematically using statistics or optimization methods.
課程學習目標 Course Objectives
課程進度 Progress Description
|進度說明 Progress Description|
|1||Review of Linear Programming and Markov Chain (線性規劃與馬可夫鏈)|
|2||SP: Stochastic Programming with Two-stage Recourse Problem (隨機規劃)|
|3||SP: The Value of Information and the Stochastic Solution (資訊價值)|
|4||SP: Approximation and Sampling Methods (漸進與抽樣隨機規劃)|
|5||Capacity Planning and Scheduling Optimization (產能規畫與生產排程最佳化)|
|6||Facility Layout and Goal Programming (設施規劃與目標規劃)|
|7||Bin-packing Problem (Three-dimensional Knapsack Problem) and Piece-wise Linearization (貨櫃裝載三維度背包問題與分段線性化)|
|8||Dynamic Supply Chain Optimization and Conjunctive Constraints (動態供應鏈與連結限制式)|
|9||Specialist Lecture (專家演講與教學: 作業研究與實證)|
|10||Multi-Objective Decision Analysis and Investment Portfolio Optimization (多目標規劃與投資組合最佳化)|
|11||MDP: Markov Decision Processes I (馬可夫決策過程)|
|12||MDP: Markov Decision Processes II (馬可夫決策過程)|
|13||RL: Reinforcement Learning I (強化學習)|
|14||RL: Reinforcement Learning II (強化學習)|
|15||Team Project Discussion (分組實作討論)|
|16||Team Project Discussion (分組實作討論)|
|17||Team Project Discussion (分組實作討論)|
有關課程其他調查 Other Surveys of Courses1.本課程是否規劃業界教師參與教學或演講?
Is there any industry specialist invited in this course? How many times?
Are there any internships involved in the course? How many hours?
Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics?
Is this course recognized as a Community engagement and Service learning course? Which community will be engaged?