Skip to main content

Simulation and Modeling Question bank


In this post I have listed elementary questions that are related to basics of S&M.

  1. Sketch and explain Basic System specification formalisms
  2. Define the terms ‘System’ & ‘Model’. Also discuss various types of System and Models. Describe the various criteria of classification of systems and models. Illustrate with abundant examples.
  3. Discuss modeling relation and validity
  4. The inescapable fact about modeling is that it is severely constrained by complexity limitations’. Explain.
  5. What do you understand by Hierarchy of System Specification? Why is it required Explain?
  6. Discuss various levels of System Knowledge?
  7. What are the fundamental system problems that any system has to face?
  8. What do you understand by Object oriented paradigm? How can you relate it with System theory?
  9. Discuss briefly evolution of System Formalism? Discuss various forms of System formalisms? Can they be used together? State with help of some examples?
  10. Name and Explain different levels of system knowledge?
  11. Define Time Base. How behaviors occur over time?

  12. What do you understand by Coupling of systems? How advantageous is this? What are the parameters we need to keep in mind while coupling two systems.



  13. What do you mean by quantized systems? Explain



  14. Describe different entities of the framework for modeling and system simulation. Are these entities related to each other? Explain.





Referrals:

Modeling and Simulation by Zeigler
Simulation Modeling and Analysis by Averill M.Law,W. David Kelton

Comments

Popular posts from this blog

Advantages and Disadvantages of EIS Advantages of EIS Easy for upper-level executives to use, extensive computer experience is not required in operations Provides timely delivery of company summary information Information that is provided is better understood Filters data for management Improves to tracking information Offers efficiency to decision makers Disadvantages of EIS System dependent Limited functionality, by design Information overload for some managers Benefits hard to quantify High implementation costs System may become slow, large, and hard to manage Need good internal processes for data management May lead to less reliable and less secure data

Inter-Organizational Value Chain

The value chain of   a company is part of over all value chain. The over all competitive advantage of an organization is not just dependent on the quality and efficiency of the company and quality of products but also upon the that of its suppliers and wholesalers and retailers it may use. The analysis of overall supply chain is called the value system. Different parts of the value chain 1.  Supplier     2.  Firm       3.   Channel 4 .   Buyer

Big-M Method and Two-Phase Method

Big-M Method The Big-M method of handling instances with artificial  variables is the “commonsense approach”. Essentially, the notion is to make the artificial variables, through their coefficients in the objective function, so costly or unprofitable that any feasible solution to the real problem would be preferred, unless the original instance possessed no feasible solutions at all. But this means that we need to assign, in the objective function, coefficients to the artificial variables that are either very small (maximization problem) or very large (minimization problem); whatever this value,let us call it Big M . In fact, this notion is an old trick in optimization in general; we  simply associate a penalty value with variables that we do not want to be part of an ultimate solution(unless such an outcome is unavoidable). Indeed, the penalty is so costly that unless any of the  respective variables' inclusion is warranted algorithmically, such variables will never be p