Discrete Simulation Laboratory detailed syllabus for Industrial Engineering (Industrial) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Industrial students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Industrial Engineering 7th Sem scheme and its subjects, do visit Industrial 7th Sem 2019 regulation scheme. The detailed syllabus of discrete simulation laboratory is as follows.
Course Objective:
- Knowledge to generate random numbers and random Variate.
- Practice to test the statistical stability of random Variate.
- Knowledge to develop simulation models for real life systems.
- Practice using various simulation software packages.
- Able to analyze various simulation models.
List of Experiments:
- Random Number GenerationMid Square, Constant Multiplier, Congruential
- Random variates GenerationExponential, Poisson, Normal, Binomial
- Testing of Random variatesChi-Square, KS, Run,Poker
- Monte Carlo Simulation: Random Walk Problem
- Monte Carlo Simulation : Paper vendor problem
- Single Server Queuing Model
- Multi Server Queuing Model
- Alternate service queuing model
- Inventory Model
- Use of Simulation Language; Servers in series queuing system
Course Outcome:
- Hands on experience in generation of random numbers and random Variate.
- Hands on experience in testing the statistical stability of random Variate.
- Hands on experience in developing simulation models for real life problems.
- Hands on experience in the use simulation softwares to simulate .
- Hands on experience in analyzing various simulation models.
For detailed syllabus of all other subjects of Industrial Engineering, 2019 regulation curriculum do visit Industrial 7th Sem subject syllabuses for 2019 regulation.
For all Industrial Engineering results, visit Anna University Industrial all semester results direct link.