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written 3.1 years ago by | • modified 3.1 years ago |

**Model:** A model is defined as a representation of a system for the purpose of studying the system. It is necessary to consider only those aspects of a system that affect the plan under investigation for studying them.

**Types:**

**Mathematical Model:** It uses symbolic notation and mathematical equation to represent a system. It represents a system in terms of logical and quantitative relationships.

Example: Area of circle = $\pi r^2$

**Physical Model:** It is based on some analogy between systems such as mechanical and electrical, electrical and hydraulic systems attributes are represented by measurements such as voltage or the position of a motor shaft. E.g. Scale models, prototype plants.

**Static model:** It sometimes called as Monte Carlo simulation model, that represents a system at ta particular point in time. E.g. Map, photo

**Dynamic model:** It represents systems as they change over time e.g. simulation of cafeteria from 2 pm to 4 pm.

**Deterministic model:** It is one which contains no random variables. it has a known set of i/p's which will result in a unique set of o/p's. e.g. Arrival of patient as per appointment time.

**Stochestic model:** It is one which contains one or more random variables as i/p's. Random o/p's are generated which can be considered only as estimates of the true characteristics of a model. e.g. Simulation of a bank

**Discrete model:** It is one in which the state variables change only at a discrete set of points in time. e.g. no. of customers waiting in line in bank.

**Continuous model:** It is one in which the state variables change continuous over time e.g. Head of water behind the dam.