Supplier Selection Analytics | Learning Outcomes | Alison
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Supplier Selection Analytics – Learning Outcomes

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By the end of this module, you will be able to:

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
Explain the role of rating, ranking  and clustering methods for determining suppliers 
Define the need for K-Means clustering techniques in grouping items.   
Explain how to groups the values together based on homogeneity and Euclidean distance
Identify the various MCDM methods for determining the choice of suppliers
Define what RMS is in the context of supplier selection 
Understand how to convert the descriptive information into numeric market information

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