Modeling and Analyst

LEARNING OBJECTIVES 

• Understand the basic concepts of MSS modeling 
• Describe how MSS models interact with data and the user 
• Understand the different model classes 
• Understand how to structure decision-making of a few alternatives 
• Describe how spreadsheets can be used for MSS modeling and solution 
• Explain what optimization, simulation, and heuristics are, and when and how to use them 
• Describe how to structure a linear programming model 
• Become familiar with some capabilities of linear programming and simulation packages 
• Understand how search methods are used to solve MSS models 
• Explain the differences between algorithms, blind search, and heuristics 
• Describe how to handle multiple goals 
• Explain what is meant by sensitivity, automatic, what-if analysis, and goal seeking 
• Describe the key issues of model management