Multi-Truck Fuel Consumption Monitoring (Excel) -- 2
€30-250 EUR
Pago na entrega
Project: Creation of an Excel File to Monitor Fuel Consumption of Trucks
Project Description:
I am looking for a professional on Freelancer to create an Excel file that allows monitoring the fuel consumption of my trucks. This file should calculate the average fuel consumption in kilometers per liter (Km/L) and provide various monthly statistics. Additionally, it should keep track of the total kilometers traveled by each truck and other relevant metrics.
Input Data:
The data to be entered into the Excel file are as follows:
1. Truck License Plate
2. Date of Refueling
3. Month
4. Liters of Fuel
5. Kilometers at the Time of Refueling
6. Information on Whether It Is a Full or Partial Refuel
Data to Obtain:
1. Average Km/L: Calculation of the average kilometers per liter whenever possible, i.e., each time a driver has done a full refuel.
2. Total Liters per Month: Total sum of fuel liters consumed each month.
3. Total Liters per Month per Truck: Total liters of fuel consumed each month for each truck.
4. Monthly Average of Km/L: Monthly average of kilometers per liter.
5. Total Kilometers Traveled: Total kilometers traveled by each truck.
Calculation Mechanism for Average Km/L:
1. Full vs. Partial Refuel:
- When a driver refuels the truck, they indicate whether it is a full refuel or a partial refuel.
- The calculation of average Km/L can only be done when there is a full refuel.
2. Kilometers Calculation:
- The kilometers traveled are calculated as the difference between the current odometer reading and the odometer reading from the last full refuel.
- If the kilometers at the time of refueling are not provided, the system should continue calculations based on the next available full refuel data without blocking further calculations.
3. Liters Calculation:
- All liters of fuel added since the last full refuel, including partial refuels, are summed up.
4. Average Calculation:
- The average Km/L is calculated by dividing the total kilometers traveled by the total liters of fuel consumed since the last full refuel.
5. Total Kilometers Traveled:
- The total kilometers traveled by each truck is the difference between the initial and the most recent odometer readings.
Example Calculation:
Refuel Data:
- Refuel 1: Date - 01/01, 1000 km, 100 liters, Partial
- Refuel 2: Date - 10/01, 1500 km, 150 liters, Full
- Refuel 3: Date - 20/01, 1800 km, 100 liters, Partial
- Refuel 4: Date - 30/01, 2200 km, 200 liters, Full
Calculation:
- Between Refuel 1 and Refuel 2:
- Total Kilometers = 1500 km - 1000 km = 500 km
- Total Liters = 100 liters (Refuel 1) + 150 liters (Refuel 2) = 250 liters
- Average Km/L = 500 km / 250 liters = 2 Km/L
- Between Refuel 2 and Refuel 4:
- Total Kilometers = 2200 km - 1500 km = 700 km
- Total Liters = 100 liters (Refuel 3) + 200 liters (Refuel 4) = 300 liters
- Average Km/L = 700 km / 300 liters = 2.33 Km/L
- Total Kilometers Traveled:
- From the first refuel (1000 km) to the most recent (2200 km) = 2200 km - 1000 km = 1200 km
Functional Requirements:
1. Data Entry Sheet: A simple and user-friendly sheet for entering the above input data, including the date of refueling. This should include drop-down menus and data validation where applicable.
2. Calculation of Average Km/L:
- For full refuels, calculate the average kilometers per liter based on the difference in kilometers from the last full refuel.
- Include a formula or script to automatically perform this calculation each time new data is entered.
- Ensure that the system can handle missing kilometers data for a refueling without blocking subsequent calculations.
3. Monthly Summaries:
- Calculate the total liters of fuel consumed each month.
- Calculate the total liters of fuel consumed each month per truck.
- Calculate the monthly average of Km/L based on all full refuels within that month.
4. Total Kilometers Traveled:
- Calculate and display the total kilometers traveled by each truck.
5. Data Visualization:
- Create charts or graphs to visually represent the monthly fuel consumption, average Km/L, and total kilometers traveled.
- These visualizations should update automatically as new data is entered.
6. Accessible and Verifiable Database:
- Maintain a clear and accessible database of all refueling records.
- Ensure that all data is easily verifiable and can be audited if necessary.
- The database should be modifiable and integrable, allowing for updates and the addition of new data without disrupting existing calculations.
Proposed Improvements:
1. Automated Data Entry:
- Consider implementing a form-based data entry system within Excel to make data input more intuitive.
- Utilize Excel macros or VBA to automate repetitive tasks and reduce manual entry errors.
2. Enhanced Data Validation:
- Implement data validation rules to ensure that the data entered is accurate and consistent (e.g., date formats, numerical values).
- Add conditional formatting to highlight any discrepancies or unusual entries.
3. Advanced Analytics:
- Include additional metrics such as cost per kilometer, total fuel cost per month, and trend analysis to provide deeper insights.
- Integrate pivot tables for dynamic data analysis and reporting.
4. User Interface Enhancements:
- Design a dashboard within the Excel file that provides a snapshot of key metrics and visualizations.
- Ensure that the dashboard is interactive and allows users to filter data by truck, month, or other criteria.
5. Data Backup and Security:
- Implement automated backups of the Excel file to prevent data loss.
- Consider password-protecting the file or specific sheets to restrict access to sensitive information.
Data Provided:
I will provide refueling data from the last 2 months to start with. This will be used to kick-start the analysis and ensure that all calculations and visualizations are functioning correctly.
Deliverables:
1. A fully functional Excel file meeting the above requirements and proposed improvements.
2. Clear instructions or documentation on how to use the file, including how to enter data and interpret the results.
3. A brief walkthrough or tutorial if necessary to explain the key features and functionalities.
Additional Information:
Please include in your proposal your experience with similar projects, your estimated timeline for completion, and your rate. I am looking for a reliable and efficient solution, with potential for future updates or modifications as needed.
Thank you!
ID do Projeto: #38266916
Sobre o projeto
82 freelancers estão ofertando em média €151 nesse trabalho
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