Welcome to the Automation Benefit Calculator! This simple web app helps you calculate the potential time and cost savings from automating a manual and repetitive process. Hosted on GitHub Pages, this tool can be easily accessed and used directly from your browser.
- Time Savings Calculation: Input the time spent on manual and automated processes to see how much time you can save.
- Cost Savings Estimation: Calculate potential cost savings based on the time saved and your hourly cost rate.
- Simple and Intuitive Interface: Easy-to-use form allows for quick input and results.
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Enter Details: Provide the following inputs in the form:
- Time spent on the manual process (hours per instance).
- Frequency of the process (times per month).
- Time spent on the automated process (hours per instance).
- Hourly cost rate ($).
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Calculate: Click the "Calculate" button to compute the time saved and potential cost savings.
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Results: View the results, including total manual time, total automated time, time saved, and potential cost savings per month.
To use the calculator, simply visit the hosted page on GitHub Pages. No installation or setup is required, and the app runs entirely in your browser.
This project is built using HTML, CSS, and JavaScript, making it a lightweight and static web application. Feel free to clone the repository and modify the code to fit your specific needs.
Contributions are welcome! If you have any ideas for improvements or want to report a bug, please open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.
Thanks to the open-source community for providing the tools and resources that made this project possible.
Additional Pythong Content to be added
# Inputs for the calculations based on the example values provided
# Old and new values
old_time_per_task = 2 # hours
new_time_per_task = 0.5 # hours
number_of_tasks_per_week = 50 # tasks per week
labor_cost_per_hour = 40 # dollars per hour
material_cost_savings = 0 # assuming no material savings for now
investment_cost = 0 # automation investment cost, assuming zero for now
old_output_per_hour = 10 # units per hour
new_output_per_hour = 15 # units per hour
old_error_rate = 0.05 # 5%
new_error_rate = 0.01 # 1%
# Calculating Time Saved per Week (hours)
time_saved_per_week = (old_time_per_task - new_time_per_task) * number_of_tasks_per_week
# Calculating Cost Savings per Week ($)
cost_savings_per_week = time_saved_per_week * labor_cost_per_hour + material_cost_savings
# Calculating ROI (%) (assuming zero investment cost for this example)
roi = (cost_savings_per_week - investment_cost) / (investment_cost if investment_cost > 0 else 1) * 100 # Avoiding division by zero
# Calculating Productivity Increase (%)
productivity_increase = (new_output_per_hour - old_output_per_hour) / old_output_per_hour * 100
# Calculating Error Reduction (%)
error_reduction = (old_error_rate - new_error_rate) / old_error_rate * 100
# Output the results
time_saved_per_week, cost_savings_per_week, roi, productivity_increase, error_reduction