| 授業名 | Operations and Supply Chain Analytics |
|---|---|
| Course Title | Operations and Supply Chain Analytics |
| 担当教員 Instructor Name | Louie Wong |
| 授業形態 Class Type | 講義 Regular course |
| 授業形式 Class Format | On Campus |
| 単位 Credits | 2 |
| 言語 Language | EN |
| 科目区分 Course Category | 応用科目200系 / Applied |
| 学位 Degree | MSc in Business Analytics & AI |
| 開講情報 Terms / Location | 2026 GSM Nagoya Spring |
| コード Couse Code | GLP161_G26N |
授業の概要 Course Overview
Mission Statementとの関係性 / Connection to our Mission Statement
This course aligns with NUCB's mission to educate participants to be innovative and ethical leaders with "Frontier Spirits" by facilitating them to master data-driven analytics in operations and supply chain management and gain strategic insights from industry practices in regional and global business contexts.
授業の目的（意義） / Importance of this course
Operations and Supply Chain Analytics covers the use of artificial intelligence, big data and analytical models to design, manage, and improve business processes. In an increasingly data-driven world, analytics is critical to the success of any organization. To create value and better serve customers, managers must leverage data-driven insights to make informed decisions in areas such as demand forecasting, supply chain optimization, inventory management, and process efficiency. The course incorporates relevant cases from real-world organizations to allow students to explore, evaluate, and gain insights from various analytical practices across different industries.
学修到達目標 / Achievement Goal
Upon completion of the course, participants will have the ability to analyze, evaluate, and design various business operations by applying analytical models and tools to solve complex operations and supply chain challenges.
本授業の該当ラーニングゴール Learning Goals
*本学の教育ミッションを具現化する形で設定されています。
LG1 Critical Thinking
LG2 Diversity Awareness
LG3 Ethical Decision Making
LG4 Effective Communication
LG7 Global Perspective (GLP)
LG2 Diversity Awareness
LG3 Ethical Decision Making
LG4 Effective Communication
LG7 Global Perspective (GLP)
受講後得られる具体的スキルや知識 Learning Outcomes
Upon successful completion of the course, participants should be able to
1. Discuss fundamental operations and supply chain analytics concepts and tools.
2. Identify and discuss key data-driven operations and supply chain challenges.
3. Analyze analytical models and approaches for improving supply chain operations.
4. Critically evaluate and optimize business operations through data-driven decision-making.
1. Discuss fundamental operations and supply chain analytics concepts and tools.
2. Identify and discuss key data-driven operations and supply chain challenges.
3. Analyze analytical models and approaches for improving supply chain operations.
4. Critically evaluate and optimize business operations through data-driven decision-making.
SDGsとの関連性 Relevance to Sustainable Development Goals
Goal 4 質の高い教育をみんなに（Quality Education）
教育手法 Teaching Method
| 教育手法 Teaching Method | % of Course Time | |
|---|---|---|
| インプット型 Traditional | 10 % | |
| 参加者中心型 Participant-Centered Learning | ケースメソッド Case Method | 90 % |
| フィールドメソッド Field Method | 0 % | 合計 Total | 100 % |
事前学修と事後学修の内容、レポート、課題に対するフィードバック方法 Pre- and Post-Course Learning, Report, Feedback methods
○ Course Approach
This course will follow a participant-centered approach, placing students at the center of the learning process, using real-world scenarios to foster active, discussion-based decision-making in various organizational contexts. Readings (cases or discussion material) are provided beforehand and assigned for each class. Participants are required to prepare for at least three hours per case study in this course. Active participation and preparation for class are the requirements for this course.
○ Report
Additional information for each report assignment, such as format and deadlines will be shared on the “Google Classroom”.
○ Feedback methods
Evaluation and feedback on assignments will be provided by the instructor via “Google Classroom” or consultation meetings.
This course will follow a participant-centered approach, placing students at the center of the learning process, using real-world scenarios to foster active, discussion-based decision-making in various organizational contexts. Readings (cases or discussion material) are provided beforehand and assigned for each class. Participants are required to prepare for at least three hours per case study in this course. Active participation and preparation for class are the requirements for this course.
○ Report
Additional information for each report assignment, such as format and deadlines will be shared on the “Google Classroom”.
○ Feedback methods
Evaluation and feedback on assignments will be provided by the instructor via “Google Classroom” or consultation meetings.
授業スケジュール Course Schedule
第1日（Day1）
Theme: Foundations of Operations and Supply Chain Analytics●使用するケース
Session 1•
Session 2
•
[Note: Cases to be used are not finalized and might vary.]
第2日（Day2）
Theme: Predictive Analytics and Uncertainty●使用するケース
Session 3•
Session 4
•
[Note: Cases to be used are not finalized and might vary.]
第3日（Day3）
Theme: Prescriptive Analytics and Supply Chain Network●使用するケース
Session 5•
Session 6
•
[Note: Cases to be used are not finalized and might vary.]
第4日（Day4）
Theme: Strategic Integration and Risk●使用するケース
Session 7•
Session 8
•
[Note: Cases to be used are not finalized and might vary.]
成績評価方法 Evaluation Criteria
*成績は下記該当項目を基に決定されます。
*クラス貢献度合計はコールドコールと授業内での挙手発言の合算値です。
- Further information about the preparation reports and final report will be given on “Google Classroom” portal.
- All reports must be submitted as per given deadlines.
- Plagiarism or academic dishonesty in any form will lead to disciplinary action with penalties.
*クラス貢献度合計はコールドコールと授業内での挙手発言の合算値です。
| 講師用内規準拠 Method of Assessment | Weights |
|---|---|
| コールドコール Cold Call | 0 % |
| 授業内での挙手発言 Class Contribution | 70 % |
| クラス貢献度合計 Class Contribution Total | 70 % |
| 予習レポート Preparation Report | 10 % |
| 小テスト Quizzes / Tests | 0 % |
| シミュレーション成績 Simulation | 0 % |
| ケース試験 Case Exam | 0 % |
| 最終レポート Final Report | 20 % |
| 期末試験 Final Exam | 0 % |
| 参加者による相互評価 Peer Assessment | 0 % |
| 合計 Total | 100 % |
評価の留意事項 Notes on Evaluation Criteria
- Active participation is required and expected.- Further information about the preparation reports and final report will be given on “Google Classroom” portal.
- All reports must be submitted as per given deadlines.
- Plagiarism or academic dishonesty in any form will lead to disciplinary action with penalties.
教科書 Textbook
- 配布資料
参考文献・資料 Additional Readings and Resource
- Additional reading materials will be provided as and when appropriate.
授業調査に対するコメント Comment on Course Evaluation
n/a
担当教員のプロフィール About the Instructor
Louie Wong is a Professor and an Associate Dean at NUCB Business School, Nagoya University of Commerce and Business, Japan. He received his PhD in Information Systems from the City University of Hong Kong, where he currently serves as an Adjunct Professor. Louie’s research focus on the intersection of technology and human behaviour. His research interests include action research, AI in business, digital leadership, digital transformation, social media and supply chain management. His research has been published in Information & Management, Information Systems Journal, International Journal of Information Management, Journal of Information Technology among others. Louie is currently an associate editor at Information Systems Journal.
（実務経験 Work experience）
Besides, Louie is also a seasoned business executive with decades of industry experience in the Asia Pacific region. Prior to his academic career, Louie served in various senior management positions at leading multinational companies such as Digital Equipment Corporation (DEC), Compaq, Check Point Technologies, and Citrix. His last industry position was the Chief Marketing Officer of a listed company in the new media industry.
Refereed Articles
- (2026) The impact of enterprise and public social media use on guanxi formation and task performance. International Journal of Information Management 88 0268-4012 online:1873-4707
- (2026) A Study on the Collection and Utilization of Product and Service Development by SME. Development Engineering 45(1): 1343-7623
- (2025) The impact of social media on digital guanxi development in the Chinese workplace: A technology affordance perspective. International Journal of Information Management 84 0268-4012 online:1873-4707
- (2024) Combining Low-Code/No-Code with Noncompliant Workarounds to Overcome a Corporate System’s Limitations. MIS Quarterly Executive 23(3): 1540-1960
- (2023) Instant messaging, interruptions, stress and work performance. Information Technology & People 0959-3845
Refereed Proceedings
- (2025). Digital Leadership in Motion: Guanxi Practices in Chinese Digital Transformation. ICIS 2025 Proceedings .International Conference on Information Systems (ICIS). 1. 3. Nashville, US
- (2023). Spearheading Digital Transformation: The Role of the Chief Digital Officer. PACIS 2023 Proceedings .Pacific Asia Conference on Information Systems (PACIS) 2023. 1. 3. Nanchang, China
- (2023). Developing Guanxi Through Social Media: User Archetypes and Influencing Factors. ECIS 2023 Research-in-Progress Papers .The 31st European Conference on Information Systems (ECIS), Kristiansand, Norway. 1. 3. Kristiansand, Norway
- (2023). The Impact of Social Media on Digital Guanxi Development in the Chinese Workplace. Proceedings of the 56th Hawaii International Conference on System Sciences .The Impact of Social Media on Digital Guanxi Development in the Chinese Workplace. 1. 3. Maui, Hawaii, USA
- (2020). Beneficial Non-Compliance with Inadequate Information Systems. International Conference on Information Systems (ICIS) 2020 Proceedings .International Conference on Information Systems (ICIS) 2020. 1. 3. India