simspy 1.0.7

SIMSPY is an 8-function package that can only solve single machine scheduling problems

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)

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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 Rule 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.
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:

   pip install simspy
   

2. To import the package, execute the following command:

   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.

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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.
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.

Output results of the package.

3. The result will be displayed as shown in the image below.