Course 15: Customer Experience-Driven Design

Course 15: Customer Experience-Driven Design (Syllabus)

Last Update: October 17,  2020

Course Objective: Economic offerings have progressed to the fourth evolution when products and services are used as props and stages for creating memorable experiences for customers. It is important for students to be able to support an industry with this change. This course aims to build student competence in design customer experience with knowledge on a concept of customer experience management (CEM) and on a systematic approach for an experience design process. In this course, the students will learn customer perception, customer involvement, and customer experience. Besides, they will learn and practice how to design a customer journey and to prevent failure of offering in a team environment.

Learning Outcomes: The students on the completion of this course would be able to:

    • Present entrepreneurial and creative attitude towards seeking various problem solutions (Apply)
    • Identify customer needs (Analyze)
    • Identify potential failure of offerings (Analyze)
    • Manage customer experience journey (Create)
    • Communicate effectively and work in an interdisciplinary team environment (Apply)
    • Design a pain point-free, memorable customer experience journey (Create)
    • Utilize Industry 4.0 technologies/applications to support the creation of a memorable customer experience journey (Apply)

PrerequisiteNone

 Course Outline:

Week Topic Learning Materials Learning Materials (Thai) Teaching Materials Teaching Materials (Thai) Note
I. Pain Point-Free Customer Experience Journey
1 1. Introduction to Experience Economy MSIE-15-L-M1S1-01

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2  2. Customer Journey MSIE-15-L-M1S2-01

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3  3. Experience Clues MSIE-15-L-M1S3-01

MSIE-15-L-M1S3-02

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MSIE-15-T-M1S3-01

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MSIE-15-L-M1S3-02

4 4. Customer Oriented-Failure Prevention -Part 1 MSIE-15-L-M1S4-01

MSIE-15-L-M1S4-02

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5 4. Customer Oriented-Failure Prevention -Part 2 MSIE-15-L-M1S4-03

MSIE-15-L-M1S4-04

MSIE-15-L-M1S4-03-A1

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MSIE-15-L-M1S4-04

II Customer Experience Value Creation
6 1. Understanding Customers
7 2. Customer Perceived Value Model MSIE-15-L-M2S2-01 MSIE-15-L-M2S2-01-A1MSIE-15-L-M2S2-01-A MSIE-15-T-M2S2-01 MSIE-15-L-M2S2-01-A1MSIE-15-L-M2S2-01-A
8 3. Product-Service Systems – Part 1 MSIE-15-L-M2S3-01 MSIE-15-L-M2S3-01-A MSIE-15-T-M2S3-01 MSIE-15-L-M2S3-01-A
9 3. Product-Service Systems – Part 2 MSIE-15-L-M2S3-02 MSIE-15-L-M2S3-02-A MSIE-15-T-M2S3-02 MSIE-15-L-M2S3-02-A
10 4. Co-Creation MSIE-15-L-M2S4-01 MSIE-15-L-M2S4-01A MSIE-15-T-M2S4-01 MSIE-15-L-M2S4-01A
III Memorable Customer Experience Design
11 1. Customer Experience Journey Design
12 2. Embedding Memorable Experience into Customer Experience Journey MSIE-15-L-M2S3-02 MSIE-15-L-M2S3-02-A MSIE-15-T-M2S3-02 MSIE-15-L-M2S3-02-A
13 3. Customer Experience Co-Creation MSIE-15-L-M3S3-01 MSIE-15-L-M3S3-01-A MSIE-15-T-M3S3-01 MSIE-15-L-M3S3-01-A
14 4. Industry 4.0 Technologies/Applications for the Creation of Customer Experience

Laboratory Sessions:

1. Customer Journey Creation
2. Embedding Clues into Customer Journey
3. Assessing Potential Failure in Customer Journey
4. Customers Need Identification
5. Customer Perception
6. Applying Product Service System for Customer Journey Design
7. Co-created Customer Experience
8. Customer Experience Journey Design
9. Customer Memorable Experience Journey Design
10. Co-created Customer Journey

Learning Resources:

Textbooks: No designated textbook, but class notes and handouts will be provided.

Reference Books:

1. Chavez, T., O’Hara, C. and Vaidya, V. Data Driven: Harnessing Data and AI to Reinvent Customer Engagement, McGraw-Hill Education, 2018
2. Goodman, J. Customer experience 3.0: High-profit strategies in the age of techno service, Amacom, 2014
3. Kalbach, J. Mapping experiences: A complete guide to creating value through journeys, blueprints, and diagrams, O’Reilly Media, Inc., 2016
4. Loeffler, B. and Church, B. The experience: The 5 principles of Disney service and relationship excellence, John Wiley & Son, 2015
5. Shaw, C. The DNA of Customer Experience, Palgrave Macmillan, 2007
6. Shep, H. The Cult of the Customer: Create an Amazing Customer Experience That Turns Satisfied Customers into Customer Evangelists, Wiley, 2009
7. Walters, D. Behavioral Marketing: Delivering Personalized Experiences at Scale, John Wiley & Sons, 2015
8. Weinschenk, S. 100 Things Every Designer Needs to Know About People, Pearson Education, 2011

Journals and Magazines:

• European Management Journal, Elsevier
• Journal of Business Research, Elsevier
• Journal of Engineering Design, Taylor and Francis
• Journal of Hospitality Management, Elsevier
• Journal of Interactive Marketing, Elsevier
• Journal of Services Marketing, Emerald Insight
• Journal of Service Theory and Practice, Emerald Insight
• Harvard Business Review
• MIT Sloan Management Review

Teaching and Learning Methods:

This is a participant-centered learning course that the students actively involve. Lecture materials include, but not limited to, slides, case study, games, interesting animations, and videos. Most of the lecture sessions contain discussion and students are encouraged to participate actively in the discussion. To increase understanding of the subject, the students are required to do literature reviews, group project, and presentations. The literature reviews are the individual assignments. The group project is for the students to develop and practice several skills including, but not limited to, decision making, problem-solving, communication, critical thinking, negotiation, conflict resolution, and teamwork. Presentations are a part of the project and assignments for personal development and knowledge sharing.

Time Distribution and Study Load:

Lectures and discussion: 30 hours
Presentations: 10 hours
Laboratory sessions: 35 hours
Group meeting outside classroom: 40 hours
Self-study: 20 hours

Evaluation Scheme:

The final grade will be computed according to the following weight distribution: Class discussions and participation (20%); Peer Assessment in-class activities
(10%); Individual assignments and presentations (10%); Project (40%); and Final Examination (20%)

An “A” would be awarded if a student can demonstrate a clear understanding of the knowledge learned in class as well as from literature reviews, can apply the knowledge appropriately in the project, and involve actively in class discussion.
A “B” would be awarded if a student can understand the basic principles of the knowledge learned in class and from literature reviews, can apply the knowledge in the project, and participate in class discussion.
A “C” would be given if a student shows partial understanding of the basic principles of the knowledge learned in class and from literature reviews, needs much guidance to apply the knowledge in the project, and is quiet during class discussion.
A “D” would be given if a student shows lack of understanding of the knowledge learned in class and from literature reviews, cannot apply the knowledge properly in the project and does not participate in class discussion.

Developer: Pisut Koomsap (AIT), Duangthida Hussadintorn Na Ayutthaya (AIT), Tomasz Nitkiewicz, Agnieszka.Ociepa-Kubicka (CUT), Apiwat Muttamara (TU)

Outcome 3.1 – Developing Teaching Materials

MSIE 4.0 Courses Syllabuses and Materials

Last update: November 7, 2020

You can learn more about our sixteen courses by clicking on the courses of interest. The links will lead you to the pages of the courses where you can acquire the course syllabuses and the English version of the materials. 

Course No.  Course Title
1 Enterprise Management in Digital Economy
2 Project Management for Industry 4.0
3 Smart Operations Management
4 Quality Management for Extended Enterprise
5 Sustainable Supply Chain Management
6 Digital Factory
7 Advanced Optimization: Techniques and Industrial Applications
8 Intelligent Decision Support Systems
9 Applied Data Analytics
10 Cyber-Physical Industrial Systems
11 Collaborative Manufacturing Systems
12 Additive Manufacturing for Industry 4.0
13 Innovative Product Design and Development
14 Human-Centric Design for Operator 4.0
15 Customer Experience-Driven Design
16 Communications and People Skills Development for Engineering Leaders

Course 6: Digital Factory

Course 6: Digital Factory (Syllabus)

Last update: November 9, 2020

Course Objective:  As information and communication technologies connect the world into one, today’s companies are challenged by increasingly aggressive competition to satisfy dynamic customer demands. Digital transformation will be indispensable, and having an ability to mimic a physical world into a virtual world will become necessary to companies for assessing scenarios before they even occur, resulting in effective operations, better failure prevention, and attractive offerings. This course aims to build student competence in digital transformation, digital factory modeling, and digital factory analysis. The students will also practice the knowledge gained in a case study factory.

 

Learning Outcomes:    

The students on the completion of this course would be able to

CLO1. Understand the strategic differences between traditional factory and digital factory (Understand, Module I)

CLO2. Understand the capacities and limitations of digital technologies available nowadays (Understand, Module I)

CLO3. Formulate a data model representing data streamlining in a production line of an existing traditional factory using a data flow diagram (Develop, Module II)

CLO4. Simulate the dynamic behavior of a production line and identify locations which must be closely monitored to keep productivity in control, as well as to prevent work defects and machine breakdowns (Analysis, Module II)

CLO5. Propose a digital factory platform of a case study factory in a virtual environment upon what have been learned (Design, Module III)

Prerequisite:  None

 Course Outline:

Module 1:  Introduction to digital factory: Road to digital transformation

  1. Lean product lifecycle management towards digital factory
  2. Technologies for digital transformation
  3. Integration of technologies for digital factory

Module 2:  Digital Factory Modeling: How to formulate a virtual world

  1. Cyber-physical systems and data security
  2. Data flow model concept and construction
  3. Simulation of a production line

Module 3:  Digital factory analysis: From analysis to factory solutions

  1. Factory digitalization
  2. Factory critical points identification and suggestions for improvement
  3. Future trends of digital factory

Laboratory Sessions:  Laboratory on establishment of a digital twin

Learning Resources:

Textbook No designated textbook, but class notes and handouts will be provided

Reference books:

  1. Barrenechea, Mark J. Jenkins, Tom Digital Manufacturing, First Published, Published in Canada 2018.
  2. Milan Gregor and Stefan Medvecky (2010). Digital Factory – Theory and Practice, Engineering the Future, Laszlo Dudas (Ed.), InTech, Available from: http://www.intechopen.com/books/engineering-the-future/digital-factory-theory-and-practice
  3. Stephan Richter Dr. Steffen Wischmann, Additive manufacturing methods – state of development, market prospects for industrial use and ICT-specific challenges in research and development, Available from: www.autonomik40.de
  4. Zude Zhou, Shane (Shengquan) Xie, and Dejun Chen, Fundamentals of Digital Manufacturing Science, Springer London Dordrecht Heidelberg New York, 2012.
  5. Zongwei Luo, Robotics, Automation, and Control in Industrial and Service Settings, Published in the United States of America by Engineering Science Reference (an imprint of IGI Global), Available from: http://www.igi-global.com
  6. 2016 Global Industry 4.0 Survey, Industry 4.0: Building the digital enterprise, Available from: https://www.pwc.com/gx/en/industries/industry4.0.html

Teaching and Learning Method:

  1. Every week students will participate in in-class activities along with practical training in a PLM software laboratory.
  2. Visiting case study factories will be scheduled every month for students to observe digital technologies being implemented in reality and for data collection.
  3. Student presentation will be regularly scheduled for students to practice presentation skills.
  4. Students design a virtual digital factory out of a real traditional one as a class final project.

Time Distribution and Study Load:

In-class activities: 30 hours

Practical training: 45 hours (including visiting a factory at a minimum of 12 hours)

Module Topic Learning Mode Learning Materials Teaching Materials Learning Materials (Thai) Teaching Materials (Thai) Workshop (Learning) Note
MODULE 1: Introduction to digital factory: Road to digital transformation Lean product lifecycle management towards digital factory Online MSIE-06-L-M1S1-S3-Lean Product Lifecycle Management Towards Digital Factory-Technologies for digital transformation-Integration of technologies for digital factory (slides 1-39) MSIE-06-T-M1S1-S3-Lean Product Lifecycle Management Towards Digital Factory-Technologies for digital transformation-Integration of technologies for digital factory (slides 1-29) MSIE-06-L-M1S1-S3MSIE-06-L-M1S1-S3-การจัดการวงจรผลิตภัณฑ์แบบลีนสู่โรงงานดิจิตอล-เทคโนโลยีสำหรับการแปลงสู่ดิจิตอล-การรวมเทคโนโลยีสำหรับโรงงานดิจิทัล(หน้าที่ 1-39) MSIE-06-T-M1S1-S3-การจัดการวงจรผลิตภัณฑ์แบบลีนสู่โรงงานดิจิตอล-เทคโนโลยีสำหรับการแปลงสู่ดิจิตอล-การรวมเทคโนโลยีสำหรับโรงงานดิจิทัล(หน้าที่ 1-29) Discussion

MSIE-06-L-M1S1-S3-W01-Lean Product Lifecycle Management Towards Digital Factory-Technologies for digital transformation-Integration of technologies for dig (Slides 2-6)

Technologies for digital transformation Online MSIE-06-L-M1S1-S3-Lean Product Lifecycle Management Towards Digital Factory-Technologies for digital transformation-Integration of technologies for digital factory (slides 40-100) MSIE-06-T-M1S1-S3-Lean Product Lifecycle Management Towards Digital Factory-Technologies for digital transformation-Integration of technologies for digital factory (slides 30-53)

 

MSIE-06-L-M1S1-S3MSIE-06-L-M1S1-S3-การจัดการวงจรผลิตภัณฑ์แบบลีนสู่โรงงานดิจิตอล-เทคโนโลยีสำหรับการแปลงสู่ดิจิตอล-การรวมเทคโนโลยีสำหรับโรงงานดิจิทัล(หน้าที่ 40-100) MSIE-06-T-M1S1-S3-การจัดการวงจรผลิตภัณฑ์แบบลีนสู่โรงงานดิจิตอล-เทคโนโลยีสำหรับการแปลงสู่ดิจิตอล-การรวมเทคโนโลยีสำหรับโรงงานดิจิทัล(หน้าที่ 35-53)
Integration of technologies for digital factory Online MSIE-06-L-M1S1-S3-Lean Product Lifecycle Management Towards Digital Factory-Technologies for digital transformation-Integration of technologies for digital factory (slides 101-116) MSIE-06-T-M1S1-S3-Lean Product Lifecycle Management Towards Digital Factory-Technologies for digital transformation-Integration of technologies for digital factory (slides 54-68) MSIE-06-L-M1S1-S3MSIE-06-L-M1S1-S3-การจัดการวงจรผลิตภัณฑ์แบบลีนสู่โรงงานดิจิตอล-เทคโนโลยีสำหรับการแปลงสู่ดิจิตอล-การรวมเทคโนโลยีสำหรับโรงงานดิจิทัล(หน้าที่ 101-116) MSIE-06-T-M1S1-S3-การจัดการวงจรผลิตภัณฑ์แบบลีนสู่โรงงานดิจิตอล-เทคโนโลยีสำหรับการแปลงสู่ดิจิตอล-การรวมเทคโนโลยีสำหรับโรงงานดิจิทัล(หน้าที่ 54-68) Self-study

MSIE-06-L-M1S1-S3-W01-Lean Product Lifecycle Management Towards Digital Factory-Technologies for digital transformation-Integration of technologies for dig (Slides 7-10)

Article-1 for MSIE-06-L-M1S1-S3-W01.pptx slide 7-8

Article-2 for MSIE-06-L-M1S1-S3-W01.pptx slide 10

1st Factory Visit Offline & Self-study Observation of tradition factory
MODULE 2: Digital Factory Modeling: How to formulate a virtual world  Cyber-physical systems and data security Online MSIE-06-L-M2S1-Cyber Physical System and Data Security MSIE-06-T-M2S1-Cyber Physical System and Data Security MSIE-06-L-M2S1-ระบบไซเบอร์ กายภาพ และการรักษาความปลอดภัยของข้อมูล MSIE-06-T-M2S1ระบบไซเบอร์ กายภาพ และการรักษาความปลอดภัยของข้อมูล Design and development for CNC turning system by writing architecture

(MSIE-06-M2S1-W01.docx)

MSIE-06-L-M2S1-W01-Cyber Physical System and Data Security(MSIE-06-M2S1-W01.pptx)

Assignment for checking understanding
Data flow model concept and construction Online MSIE-06-L-M2S2-Data Flow Model Concept and Construction MSIE-06-T-M2S2-Data Flow Concept and Construction MSIE-06-L-M2S2-รูปแบบผังการไหลของข้อมูลและวิธีสร้าง MSIE-06-T-M2S2-รูปแบบผังการไหลของข้อมูลและวิธีสร้าง Data Flow Diagram Constructing, the case study of the Estate Agency

MSIE-06-L-M2S2-W01-Data Flow Model Concept and Construction

MSIE-06-L-M2S2-W01-Data Flow Model Concept and Construction

Assignment for checking understanding
2nd Factory Visit Offline & Self-study Data Flow Diagram Constructing for tradition factory
Simulation of a production line Offline & Self-study MSIE-06-L-M2S3-Simulation of a Production Line MSIE-06-T-M2S3-Simulation of a production line MSIE-06-L-M2S3-การจำลองสายการผลิต MSIE-06-T-M2S3-การจำลองสายการผลิต Simulation of Fuel pipe production by using Technomatix program

MSIE-06-L-M2S3-W01-Simulation of a production line

Assignment for checking understanding
MODULE 3: Digital factory analysis: From analysis to factory solutions Factory digitalization Online MSIE-06-L-M3S1-Factory Digitalization(slides 1-22) MSIE-06-T-M3S1-Factory Digitalization (slides 1-16) MSIE-06-L-M3S1-โรงงานดิจิทัล (สไลด์ที่ 1-22) MSIE-06-T-M3S1-โรงงานดิจิทัล (สไลด์ที่ 1-16) 
Factory digitalization Online MSIE-06-L-M3S1-Factory Digitalization(slides 23-49) MSIE-06-T-M3S1-Factory Digitalization (slides 17-30) MSIE-06-L-M3S1-โรงงานดิจิทัล (สไลด์ที่ 23-49) MSIE-06-T-M3S1-โรงงานดิจิทัล สไลด์ที่ 17-30)  Digital twin in cyber physical system, the case study of Gear Factory

MSIE-06-L-M3S1-W01-Factory Digitalization.docx

MSIE-06-L-M3S1-W01-Factory Digitalization.pptx

3rd Factory Visit Offline & Self-study Making the plan of digital factory transforming
Factory critical points identification and suggestions for improvement Online MSIE-06-L-M3S2-Factory Critical Points Identification and Suggestions for Improvement (slides 1-42)

 

MSIE-06-T-M3S2-Factory Critical Points Identification and Suggestions for Improvement (slides 1-28)

 

MSIE-06-L-M3S2-การระบุจุดวิกฤติจากโรงงานและการปรับปรุง(สไลด์ที่ 1-42) MSIE-06-T-M3S2-การระบุจุดวิกฤติจากโรงงานและการปรับปรุง (สไลด์ที่ 1-28)
Factory critical points identification and suggestions for improvement

 

Online MSIE-06-L-M3S2-Factory Critical Points Identification and Suggestions for Improvement (slides 43-76)

 

MSIE-06-T-M3S2-Factory Critical Points Identification and Suggestions for Improvement (slides 29-44) 

 

MSIE-06-L-M3S2-การระบุจุดวิกฤติจากโรงงานและการปรับปรุง(สไลด์ที่ 43-76) MSIE-06-T-M3S2-การระบุจุดวิกฤติจากโรงงานและการปรับปรุง (สไลด์ที่ 29-44) The analysis of case study production line bottlenecks and management by using Technomatix program

MSIE-06-L-M3S2-W01-Factory Critical Points Identification and Suggestions for Improvement.docx

MSIE-06-L-M3S2-W01-Factory Critical Points Identification and Suggestions for Improvement.pptx

Assignment for checking understanding
Future trends of digital factory Online MSIE-06-L-M3S3-Future Trends of Digital Factory MSIE-06-T-M3S3-Future Trends of Digital Factory MSIE-06-L-M3S3-แนวโน้มในอนาคตของโรงงานดิจิตอล MSIE-06-T-M3S3-แนวโน้มในอนาคตของโรงงานดิจิตอล
4th Factory Visit Offline & Self-study Present the plan of digital factory transforming

Course Developer:

Athakorn Kengpol, King Mongkut’s University of Technology North Bangkok, Thailand

Supapan Chaiprapat, Prince of Songkla University, Thailand

Chukree Daesa, Prince of Songkla University, Thailand