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https://github.com/marcolanaro/js-pert

PERT - Program evaluation and review technique
https://github.com/marcolanaro/js-pert

estimation network-analysis pert probability-distributions project-management

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PERT - Program evaluation and review technique

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# js-pert

## Program evaluation and review technique

Given a set of activities with pessimistic, optimistic, probable times and the set of dependencies, will provide:

- `expected time` for every activity
- `variance` for every activity
- the description of the activity on node `[AON]` network diagram with `predecessors` and `successors`
- earliest start `[ES]` times for every node
- earliest finish `[EF]` times for every node
- latest start `[LS]` times for every node
- latest finish `[LF]` times for every node
- `slack` for every node
- `critical path` description

With the pert description will also provide a function to calculate the probability to complete the project in `x` days.

## Install

```bash
npm install js-pert --save
```

## Example

Please look at [this example](https://marcolanaro.github.io/js-pert).

## Documentation

### jsPERT

The default exported function allow you to retrieve the description of the PERT network.

Given `activities`:

```bash
{
[key: string]: {
id: string;
optimisticTime: number;
mostLikelyTime: number;
pessimisticTime: number;
predecessors: string[];
};
}
```

You can use jsPERT as follow:

```bash
import jsPERT from 'js-pert';

const pert = jsPERT(activities);

console.log('PERT', pert);

```

Should log the PERT description in following shape:

```bash
{
activitiesParams: {
[key: string]: {
expectedTime: number;
variance: number;
};
};
network: {
[key: string]: {
successors: string[];
predecessors: string[];
};
};
earliestFinishTimes: {
[key: string]: number;
};
latestStartTimes: {
[key: string]: number;
};
earliestStartTimes: {
[key: string]: number;
};
latestFinishTimes: {
[key: string]: number;
};
slack: {
[key: string]: number;
};
criticalPath: string[];
}
```

### pertProbability

You can get the probability of completing the project in less than `x` days submitting the `PERT description` and `x` in the `pertProbability` ancillary function.

```bash
import { pertProbability } from 'js-pert';

const Pz = pertProbability(pert, 22);

console.log('P(x<22):', Pz);
```

## License

See the [LICENSE](LICENSE.md) file for license rights and limitations (MIT).