An Introduction to Modelling and Analytics in Supply Networks
This free online Modelling and Analytics course for Supply Networks covers the essentials of Modelling and Analytics.
Description
This free online training course introduces you to the basics of Modelling and Analytics in the Supply Network. You will learn about the flows of a Supply Chain, measures for analysing the performance of a Supply Chain and how Big Data Analytics can be leveraged in managing a Supply Chain. This course is arranged systematically and presented clearly so you will easily be able to understand the given concepts.
Next, the course will cover Supply Chain Operations and the various analytical techniques used in Supply Chain Management. The course then goes on to explain the different types of design options you can get in distribution networks. The course emphasises the need for mathematical modelling in selecting suppliers and also the various methods of selecting suppliers.
Finally, you will learn about the process of converting qualitative information into numeric market information for making meaningful decisions. An Introduction to Modelling and Analytics in Supply Networks Cert course will teach you the basics of modelling and analytics involved in the supplier selection process and will interest students studying management, industrial and systems engineering, mechanical engineering, and related disciplines or those who have an interest in these topics. So, sign up for this course and start learning today!
Start Course NowModules
Introduction to Modelling and Analytics in Supply Networks
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Introduction to Modelling and Analytics in Supply Networks – Learning Outcomes
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An Overview to Modelling and Analytics
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Introduction to Supply Chain
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Uncertainty and Risks in Supply Chain
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Decisions and Performance Measures in Supply Chain
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Introduction to Analytics in Supply Chain
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Analytics Framework Based on SCOR Model
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Design Options for Distribution Network
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Introduction to Modelling and Analytics in Supply Networks – Lesson Summary
Supplier Selection Analytics
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Supplier Selection Analytics – Learning Outcomes
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Linear Programming
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Linear Point Method
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Rating and Ranking Method
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Clustering Method
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MCDM Techniques
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Supplier Selection Analytics – Lesson Summary
Course assessment
Learning Outcomes
By the end of this course, you will be able to:
Recognize the need for studying Modelling and Analytics for Supply Chain Management
Identify the various flows of the Supply Chain
Explain the various types of data generated at different stages of a Supply Chain
Describe the types of decisions that are taken in the context of Supply Chain Management
Identify the measures for analysing the performance of Supply Chain
Define what Analytics and Big Data are in the context of Supply Chain
Identify the need for mathematical modelling in selecting suppliers
Explain how to optimize different situations using linear programming
Describe the linear point metric method for determining the choice of suppliers
Recognize why organization should develop meteorology in selecting suppliers
Understand how to convert the descriptive information into numeric market information
Certification
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