Supply Chain Course for Designers Master Class TM
What you'll learn
- Students will learn about the components of Supply chain management in detail like who is the customer,
- Each and every stakeholder and community has been discussed with pictorial representation
- Also this course talks about a system of supply chain management and how we got optimised over time.
- Using the principles and Kafka principles we are able to improve the efficiency of supply chain management.
- Also learning about the benefits of supply chain management knowledge
- An easy class project is given for understanding Toyota car manufacturing supply chain logistics,
- Anyone can learn this class it is very simple
- Students are advised to take notes for self-reflection purposes
- No prior experience is needed to join this course
About the Master Calss:
This course teaches students about supply chain management and its importance as a designer. Also this course teaches about the basic components of supply chain, why I picked oral representation and how students are able to get a very good perspective being a very non-technical person. Also talks a little about the history of the supply chain management and how it is being optimised over time and how to even optimise it further using the latest technology but we have like the lean method Kafka to improve its process in efficiencies et cetera has been covered in the course.
As I used to say in my design courses, that design cannot be learned in the rot learning or Text book way of learning that you do through a chapter wise and remember some formulas that will yield you some solutions. Design is unique and when different people approach the same problems we will get different solutions based on the inputs that designer works on.
So design can be approached in the way of learning through the case studies and by doing action on your own to learn yourself.
Learning by doing and learning by action.
Benefits of the Master Class:
Students will learn about the components of Supply chain management in detail like who is the customer, who is the manufacturer, who is the distributor, how it is coming from warehouse into the dealer shop, how people are getting the products in the local shops.
Each and every stakeholder and community has been discussed with pictorial representation and 3-D model you so students will learn about it very clearly.
Also this course talks about a system of supply chain management and how we got optimised over time.
The teachings regarding optimisation of supply chain and how sufficiency can be improved has been discussed.
Using the principles and Kafka principles we are able to improve the efficiency of supply chain management.
Also learning about the benefits of supply chain management knowledge and how we are able to create a big value in the form of process of product development and product life-cycle even though you are a designer or an engineer this is a vital skill which is needed across the world and it has a huge demand globally.
An easy class project is given for understanding Toyota car manufacturing supply chain logistics, how it is reached to the dealer shop and how we are getting it in hand students are asked to make an illustration of their understanding of supply chainmanagement to this project.
Who this course is for:
- Anyone who wants to learn Supply Chain Course for Design
- Anyone who wants to learn Design Skills
Dear Esteemed Life Long Learner,
Allow me to introduce myself; I am Noble, a seasoned professional in the realms of Global Future Skills, Ai, Computer Science, Innovation & Pure Consciousness. I bring a wealth of experience from my tenure as an ex-employee at General Electric (GE) and Wipro Technologies.
At Noble Transformation Hub, prestigious TM certification. Over the years, I have had the privilege of serving and impacting over 100,000 students and 500+ teachers across 170 countries. Notably, our courses have received outstanding ratings, with 4.7+ out of 5 stars from more than 100000+ students.
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Post Graduate Program in Artificial Intelligence and Machine Learning at The University of Texas at Austin, GL
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With gratitude till infinity,
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