Syllabus
|
Course Code: ELECTIVE- II MTIP-113 Course Name: Simulation of Industrial Systems |
||
| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
|---|---|---|
| 1 | Introduction and overview: concept of system, system environment, elements of system, system modeling,
types of models, Monte Carlo method, system simulation, simulation - a management laboratory, advantages &
limitations of system simulation, continuous and discrete systems. Simulation of continuous systems: characteristics of a continuous system, comparison of numerical integration with continuous simulation system. Simulation of an integration formula. |
|
| 2 | Simulation of discrete system: Time flow mechanisms, Discrete and continuous probability density functions.
Generation of random numbers, testing of random numbers for randomness and for auto correlation, generation
of random variates for discrete distribution, generation of random variates for continuous probability distributionsbinomial, normal, exponential and beta distributions; combination of discrete event and continuous models. Simulation of queuing systems: Concept of queuing theory, characteristic of queues, stationary and time dependent queues, queue discipline, time series analysis, measure of system performance. Kendall's notation, auto covariance and auto correlation function, auto correlation effects in queuing systems, simulation of single server queues, multi-server queues, queues involving complex arrivals and service times with blanking and reneging. |
|
| 3 | Simulation of inventory systems: Rudiments of inventory theory, MRP, in-process inventory. Necessity of
simulation in inventory problems, forecasting and regression analysis, forecasting through simulation, generation
of Poisson and Erlang variates, simulation of complex inventory situations. Design of Simulation experiments: Length of run, elimination of initial bias, Variance, Variance reduction techniques, stratified sampling, antipathetic sampling, common random numbers, time series analysis, spectral analysis, model validation, optimization procedures, search methods, single variable deterministic case search, single variable non-deterministic case search, and regenerative technique. |
|
| 4 | Simulation of PERT: Simulation of - maintenance and replacement problems, capacity planning, production
systems, reliability problems, computer time sharing problem, the elevator system. Simulation Languages: Continuous and discrete simulation languages, block structured continuous languages, special purpose simulation languages, SIMSCRIPT, GPSS SIMULA importance and limitations of special purpose languages |
|
