simspy 1.2.0
SIMSPY is an 8-function package that can only solve single machine scheduling problems
Requires Python: >=3.7


This package is specifically designed for solving *single-machine scheduling problems*. It comprises a total of 8 functions, including 7 heuristic functions and 1 metaheuristic function.

### Heuristic Method
 - Earliest Due Date (EDD) Rule
 - Shortest Processing Time (SPT) Rule
 - Largest Penalty per Unit Length (LPUL) Rule
 - Shortest Processing Time and LPUL Rule
 - Shortest Weighted Processing Time (SWPT) Rule
 - Largest Weight (WT) and LPUL Rule
 - Critical Ratio (CR) Rule
 
### Metaheuristic Method
 - Genetic Algorithm (GA)
---
## Data Input
This package requires 3 essential data inputs: **Processing Time**, **Due Date**, and **Penalty**.

| Function | Description |
| -------- |-------------|
| `fc_edd` | Sort the job sequences using the Earliest Due Date Rule by arranging the jobs in ascending order based on their due dates. |
| `fc_spt` | Sort the job sequences using the Shortest Processing Time Rule by arranging the jobs in ascending order based on their processing times. |
| `fc_lpul` | Sort the job sequences using the Largest Penalty per Unit Length Rule by arranging the jobs in descending order based on their U value, which is obtained by dividing the penalty by the processing time. |
| `fc_spt_lpul` | Sort the job sequences using the Shortest Processing Time and LPUL Rule by arranging the jobs in ascending order based on their processing times. In case of a tie, use the LPUL Rule. |
| `fc_swpt` | Sort the job sequences using the Shortest Weighted Processing Time Rule by arranging the jobs in ascending order based on their S value, which is obtained by dividing the processing time by the penalty. |
| `fc_wt_lpul` | Sort jobs using the Largest Weight and LPUL Rule by arranging the jobs in ascending order based on their penalty. In case of a tie, use the LPUL Rule. |
| `fc_cr` | Sort the job sequences using the Critical Ratio Rule by arranging the jobs in ascending order based on their CR value, which is obtained by subtracting T (the sum of processing times for all the jobs that have been scheduled) from the due date and dividing by the processing time. |
| `fc_ga` | Sort the job sequences using the Genetic Algorithm by arranging the jobs in a way that minimizes the total penalty. |                                                                                                                                                                                                        

## How to install
1. To install the package, execute the following command:
   ```python
   pip install simspy
   ```
2. To import the package, execute the following command:
   ```python
   import simspy
   ```
3. Click on the "Run" button. The package will display a window where you can select the method and specify the number of jobs, as well as an empty box to input the data.
---
## How to use
### Input parameters of the package.
1. After importing the package, a window will appear for selecting the method and entering the required number of job schedules.

   ![select](https://imgur.com/kyXkuA4.jpg)

2. Upon clicking the "OK" button, a window will appear for entering job data for each schedule. After entering the data, click the "Sort Job" button to proceed.

   ![enter](https://imgur.com/HzWMkMn.jpg)
### Output results of the package.
3. The result will be displayed in the terminal window, as shown in the image below.

   ![result](https://imgur.com/hGZGc6S.jpg)