Skip to main content

Simulation and Modeling FAQ continued



1. Discuss the usage of DEVS in detail?
2. Describe the steps involved in a simulation study?Illustrate with a relevant example
3. Explain the four steps involved in the model building process?
4. Simulation can be used to solve traffic problems at major intersections?Explain the steps involved to carry this simulation study?
5. How can simulation be used to study the queuing systems?
6. Describe pictorially the arrival and departure in a queuing system?
7. Give an example of Single channel queue. How can you use simulation to study such a system?
8. What according to you are the performance measures required to analyze a queuing system?
9. How will you calculate following performace measures for a sing server queuing system

a. Average waiting system.
b. Probability a customer has to wait.
c. probability of idle server
d. Average service time
e. Expected service time
f. Average time between arrivals.
g. Average time customer spends in the system.
h. Average waiting time for those who wait.

10. How can simulation be used to solve inventory problems. Discuss with a case study?
11. Explain how simulation can be used to solve lead time problems in inventory?
12. Describe briefly various concepts involved in discrete event simulation?
13. Discuss the event scheduling/time advance algorithm in detail?
14. what are the various world views available to model a system for simulation? Illustrate with example appropriate usage of different word view?
15. How exactly a future event list should be implemented? Explain pros and cons of using various kinds of implementations?








c
b

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