國立中山大學111學年度第1學期系統模擬與分析課程大綱

國立中山大學 111學年度第1學期課程教學大綱

National Sun Yat-sen University 111Academic year1st Semester Course syllabus

中文名稱
Course name(Chinese)

系統模擬與分析

課號
Course Code

MIS559

英文名稱
Course name(English)

SYSTEM SIMULATION AND ANALYSIS

課程類別
Type of the course

講授類

必選修
Required/Selected

選修

系所
Dept./faculty

資訊管理學系碩士班

授課教師
Instructor

劉賓陽

學分
Credit

因應嚴重特殊傳染性肺炎(武漢肺炎)，倘若後續需實施遠距授課，授課方式調整如下：

同步遠距【透過網路直播技術，同時進行線上教學，得採Microsoft Teams、Adobe connect等軟體進行】
同步遠距含錄影【透過網路直播技術，同時進行線上教學並同時錄影，課程內容可擇日再重播，得採Microsoft Teams、Adobe connect等軟體進行】
非同步遠距【課堂錄影或錄製數位教材放置網路供學生可非同時進行線上學習，得採EverCam、PPT簡報錄影、錄音方式進行】
實作類課程，經評估無法採遠距課程教學，後續復課後密集補課

★遠距教學軟體操作說明連結

因應嚴重特殊傳染性肺炎(武漢肺炎)，倘若後續需實施遠距授課，評分方式調整如下：

1.平時成績（模擬模式及分析練習作業）Homework and Quiz：25%
2.課堂討論（課程及實務問題之交流討論）Class Discussion：15%
3.期中評鑑（對系統模擬語言中之運用能力及認知為主）Mid-term Exam：30%
4.期末專案（具有實務應用或學術發展之主題）Final Report：30%

課程大綱 Course syllabus

本課程教學大綱已提供完整英文資訊（本選項僅供統計使用，未提供完整英文資訊者，得免勾記）【Provide information of course syllabus in English.(This is for statistical use only. For those who do not provide information of course syllabus in English, do not check this field.)】

無論是管理領域或理工領域中，經常需應用資訊科技或模式來對所面臨的問題進行實驗，以期能更經濟、更深入地了解問題的本質、系統行為…等。其中，本課程所專注的作業層次之系統模擬，若能善用得宜，則可發揮其在評量、預估、比較、敏感度分析、瓶頸分析、最佳改善…等功能；而熟悉此項技能者，更將具有整體觀、多方位思考之能力，與理性、客觀、果斷之特質。
Simulation is one of the key techniques to analyze the complex problems systematically, and it is also an important tool to integrate the business operations and the information systems. Performing experiments is an important way to study the systems, especially, the complex systems. System simulation is a technique to perform the experiments for an existed system without interrupting or a proposed system before implementing by computer models. The key factors to make the simulation project solving the problems successfully, the simulation analyst not only need to be properly trained of using the tools, but also have to analyze experimental results appropriately.

課程目標 Objectives

修課學生可習得：
1. 模擬程式之撰寫、模擬系統之發展…等技能。
2. 分析模擬實驗結果、產生具體而客觀之建議方案。
In this course, the procedures for executing the simulation project are introduced, the concepts of transforming problem faced into suitable simulation model are instructed, and the schemes of analyzing the numerical results and animated phonemes are discussed. In particular, output analysis and variance reduction technique will be demonstrated to help the students to make the experiments more efficiently and to explore the facts based upon statistics.

授課方式 Teaching methods

學理講授 Introduction to Major Theories
程式撰寫 Model Programing
模式觀摩 Modeling Technique Improvement
分析辯證 The Analysis and Validation for Simulation Projects
專案討論 Project Discussion
遠距授課：請參酌網大課程版，課程公告板所列連結。 On-line class: please refer to the announcement at the course board on CU.

評分方式﹝評分標準及比例﹞Evaluation (Criteria and ratio)等第制單科成績對照表 letter grading reference

1.平時成績（模擬模式及分析練習作業）Homework and Quiz：25%
2.期中評鑑（對系統模擬語言中之運用能力及認知為主）Mid-term Exam：30%
3.課堂討論（課程及實務問題之交流討論）Class Discussion：15%
4.期末專案（具有實務應用或學術發展之主題）Final Report：30%

參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
〔請遵守智慧財產權觀念，不可非法影印。教師所提供之教材供學生本人自修學習使用,不得散播及做為商業用途〕
No copies for intellectual property rights. Textbooks provided by the instructor used only for self-study, can not broadcast or commercial use

Kelton, W.D., R.P. Sadowski, and N.B. Zupick, Simulation with ARENA, 6th Ed., McGraw-Hill, USA, 2013.
Rossetti, M.D., Simulation Modeling and Arena, Jonh Wiely & Sons, Inc., 2010.
Aburdene, M.F., Computer Simulation of Dynamic Systems, WCB, USA, 1988.
Banks, J., J.S. Carson II, and B.L. Nelson, Discrete-Event System Simulation, 2nd Ed., Prentice Hall, USA, 1996.
Harrell, C., B.K. Ghosh, and R.O. Bowden, Simulation Using PROMODEL, 2nd Ed., McGraw-Hill, USA, 2004.
Law, A.M., and W.D. Kelton, Simulation Modeling & Analysis, 3rd Ed., McGraw-Hill, USA, 2000.
Morgan, B.J.T., Elements of Simulation, Chapman Hall, USA, 1984.
Nelson, B.L., Stochastic Modeling: Analysis & Simulation, McGraw-Hill, USA, 1995.
Pidd, M., Computer Simulation in Management Science, 4th Ed., Jonh Wiely & Sons, USA, 1998.
劉賓陽, 作業研究, 三民書局, 2000.
王宏鍇、任恆毅、李孟樺、陸行、陳勝一、喻奉天, 生產智動化系統模擬-FlexSim for Industry X.0,薪威科技有限公司，2022.

彈性暨自主學習規劃 Alternative learning periods

本門課程是否有規劃實施學生彈性或自主學習內容（每1學分2小時）

Is any alternative learning periods planned for this course (with each credit corresponding to two hours of activity)?

否：教師需於「每週課程內容及預計進度」填寫18週課程進度（每1學分18小時之正課內容）。
No：The instructor will include an 18-week course plan in the weekly scheduled progress (each credit corresponds to 18 hours of instruction)

是：教師需於「每週課程內容及預計進度」填寫16週課程內容（每1學分16小時之正課內容），並於下列欄位填寫每1學分2小時學生彈性或自主學習內容。
Yes：The instructor will include a 16-week course plan in the weekly scheduled progress (each credit corresponds to 16 hours of instruction);the details of the planned alternative learning periods are provided below (each credit corresponds to two hours of activity).

學生彈性或自主學習活動 Alternative learning periods	勾選或填寫規劃內容 Place a check in the appropriate box or provide details	時數 Number of hours
學生分組實作及討論 Group work and discussion
參與課程相關作業、作品、實驗 Participation in course-related assignments, work, or experiments
參與校內外活動（研習營、工作坊、參訪）或競賽 Participation in on- or off-campus activities (e.g., seminars, workshops, and visits) or competitions
課外閱讀 Extracurricular reading
線上數位教材學習 Learning with online digital learning materials
其他（請填寫規劃內容） Other (please provide details)

每週課程內容及預計進度 Weekly scheduled progress

週次	日期	授課內容及主題
Week	Date	Content and topic
1	2022/09/04~2022/09/10	Introduction to Simulation
2	2022/09/11~2022/09/17	Fundamental Simulation Concepts
3	2022/09/18~2022/09/24	A Guide to ARENA and SIMAN
4	2022/09/25~2022/10/01	Basic Modeling Operations (I)
5	2022/10/02~2022/10/08	Basic Modeling Operations (II)
6	2022/10/09~2022/10/15	Modeling Detailed Operations (I)
7	2022/10/16~2022/10/22	Modeling Detailed Operations (II)
8	2022/10/23~2022/10/29	Outputs Analysis for Terminating Systems
9	2022/10/30~2022/11/05	Mid-Term Exam/Report
10	2022/11/06~2022/11/12	Steady-State Statistical Analysis
11	2022/11/13~2022/11/19	Entity Transfer and Flows
12	2022/11/20~2022/11/26	Discrete Modeling Concepts/Applications (I)
13	2022/11/27~2022/12/03	Discrete Modeling Concepts/Applications (II)
14	2022/12/04~2022/12/10	Transporters
15	2022/12/11~2022/12/17	Conveyors
16	2022/12/18~2022/12/24	Verification and Validation
17	2022/12/25~2022/12/31	Field Study & Project Discussion
18	2023/01/01~2023/01/07	Final-Term Exam/Report

課業討論時間 Office hours

時段1 Time period 1:
時間 Time：星期一12:00~14:00
地點 Office/Laboratory：管3054
時段2 Time period 2：
時間 Time：星期二12:00~14:00
地點 Office/Laboratory：管3054

系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilitics of the dcpartment and the university

系所學生專業能力/全校學生基本素養與核心能力
basic disciplines and core capabilities of the department and the university

課堂活動與評量方式
Class activities and evaluation

本課程欲培養之能力與素養 This course enables students to achieve.

紙筆考試或測驗 Test.

課堂討論︵含個案討論︶ Group discussion (case analysis).

個人書面報告、作業、作品、實驗 Indivisual paper report/ assignment/ work or experiment.

群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment.

個人口頭報告 Indivisual oral presentation.

群組口頭報告 Group oral presentation.

課程規劃之校外參訪及實習 Off-campus visit and intership.

證照/檢定 License.

參與課程規劃之校內外活動及競賽 Participate in off-campus/ on-campus activities and competitions.

課外閱讀 Outside reading.

※系所學生專業能力 Basic disciplines and core capabilities of the department

1.具備資訊倫理與社會責任實踐的能力 1. Awareness of information ethics.

2.具備溝通能力 2. Communication Skills.

3.具備解決資訊管理問題之能力 3. Capabilities to solve IT-related problems.

4.具備資訊管理之專業知識 4. Professional knowledge of information technology.

5.具備國際觀 5. Global perspective.

※全校學生基本素養與核心能力 Basic disciplines and core capabilities of the university

1.表達與溝通能力。 1. Articulation and communication skills

2.探究與批判思考能力。 2. Inquisitive and critical thinking abilities

3.終身學習能力。 3. Lifelong learning

4.倫理與社會責任。 4. Ethnics and social responsibility

5.美感品味。 5. Aesthetic appreciation

6.創造力。 6. Creativity

7.全球視野。 7. Global perspective

8.合作與領導能力。 8. Team work and leadership

9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature　

本課程與SDGs相關項目：The course relates to SDGs items:


	SDG1-消除貧窮(No Poverty)
	SDG2-消除飢餓 (Zero Hunger))
	SDG3-良好健康與福祉(Good Health and Well-being)
	SDG4-教育品質(Quality Education)
	SDG5-性別平等(Gender Equality)
	SDG6-乾淨水源與公共衛生(Clean Water and Sanitation)
	SDG7-可負擔乾淨能源(Affordable and Clean Energy)
	SDG8-優質工作與經濟成長(Decent Work and Economic Growth)
	SDG9-工業、創新和基礎建設(Industry,Innovation and Infrastructure)
	SDG10-減少不平等(Reduced Inequalities)
	SDG11-永續城市(Sustainable Cities and Communities)
	SDG12-責任消費與生產(Responsible Consumption and Production)
	SDG13-氣候行動(Climate Action)
	SDG14-海洋生態(Life Below Water)
	SDG15-陸域生態(Life on Land)
	SDG16-和平、正義和穩健的制度(Peace,Justice And Strong Institutions)
	SDG17-促進目標實現的全球夥伴關係(Partnership for the Goals)
	本課程和SDGS無關

本課程校外實習資訊: This course is relevant to internship:

本課程包含校外實習（本選項僅供統計使用，無校外實習者，得免勾記）
The course includes internship.(For statistical use only. If the course without internship, please ignore this item.)

實習定義：規劃具有學分或時數之必修或選修課程，且安排學生進行實務與理論課程實習，於實習終了取得考核證明繳回學校後，始得獲得學分；或滿足畢業條件者。(一般校內實習請勿勾選此欄位)

Internship: The required or elective courses should include credits and learning hours. Students should participate in the corporative company or institution to practice and learn the real skills. An internship certification must be handed in at the end of internship to get the credits or to fulfil the graduation requirements.

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