Syllabus
Anmeldung durch das Institut
We are in the fourth industrial revolution with rapid digitization and increasing use AI, robotics, IoT, VR/AR (Virtual reality/Augmented reality), crypto currency and NFT (nonfungible token). As such, Industrial Revolution 4.0 requires a rethinking and shift in mindset of how products are manufactured and services are produced, distributed/supplied, sold and used in the supply chain. With the onset of the pandemic and global shut down, there has even been greater emphasis on supply chain management of many manufactured products.
What is the role of sustainability in this new world? How is the world going to address climate change? How is clean technology and transport shifting global business practices with growing concerns over environmental and social issues, and resource depletion. Sustainable supply chain management play a significant role in managing environmental, social, political, and economic impacts, as well as designing and implementing suitable governance practices, throughout the lifecycles of goods and services. This course will focus on tracking GHG (Greenhouse Gas) emissions from Scope 3, indirect emissions that occur in the company’s value chain.
This course offers spatial perspectives on measuring upstream, such as the indirect emissions fueled by a company’s supply chain, or downstream, via the emissions generated by the use of a company’s products and services. The end goal is to achieve a transition to net zero.
The Supply Chain Management curriculum is designed for students to achieve an understanding of sustainability in business practices. Students will be able to:
- Apply supply chain analytics to improve operational effectiveness and/or reduce Scope 3 emissions to achieve net zero goals by 2030.
- Offer a well-balanced, unified, and comprehensive course, including a culminating experience focused on proposing a research question, accomplishing a study, and writing a high-quality white / research paper.
- Stress practical application of knowledge and analysis techniques that showcase the use of spatial data and analysis in supply chain management.
- Key aspects of supply chain undergoing the digitalization of processes and products.
Session 1: Introduction to spatial analysis in sustainable supply chain management
Topics covered: Locational analytics, route optimization, spatial decision support systems, geospatial technologies, artificial neural networks and AI
Session 2: Practical uses of geospatial technology for creating sustainable supply chain - building a smart phone or web app for an industry segment. I will discuss measuring upstream, such as the indirect emissions fueled by a company’s supply chain, or downstream, via the emissions generated by the use of a company’s products and services.
Session 3: Case studies: Analyses and discussion
Case analysis, - 30%
Presentation (group), - 30%
written assignment (group) - 30%
Class participation (Q&A) - 10%
Percentage Points Grade
90 - 100 22.5 – 25 Excellent (1)
80 - <90 20 - <22.5 Good (2)
70 - <80 17.5 - <20 Satisfactory (3)
60 - <70 15 - <17.5 Passed (4)
< 60 <15 Failed (5)
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Cheating and Plagiarism:
Cheating in any form and plagiarism will not be tolerated and result in severe penalties. Plagiarism is the use of words and ideas of others without attribution or without quotation marks or accompanying footnotes. In the extreme, plagiarism may result in failure of the course.
| Unit | Date | Contents |
|---|---|---|
| 1 | May 30, 2023 | Session 1: Introduction to spatial analysis in sustainable supply chain management
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| 2 | May 31, 2023 | Session 2: Practical uses of geospatial technology for creating sustainable supply chain - building a smart phone or web app for an industry segment. I will discuss measuring upstream, such as the indirect emissions fueled by a company’s supply chain, or downstream, via the emissions generated by the use of a company’s products and services. Topics covered: Scope 3, spatial logistics, web service mapping, company footprints, and risk.
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| 3 | June 1, 2023 | Session 3: Case studies: Analyses and discussion Topics covered: Public health, smart cities (smart metering, traffic), natural resources (soya in Amazonia), urban farms (food deserts), utility management, shipping (estimating carbon cost in shipping goods).
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