Route Optimization Analysis Checklist
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Data Gathering & Preparation
Focuses on collecting and cleaning the data needed for route optimization. This includes location data, traffic patterns, delivery windows, vehicle characteristics, and constraints.
Describe Data Sources (e.g., GPS data, TMS, customer addresses)
Upload Customer Address Data (CSV, Excel, etc.)
Number of Delivery Locations
Define Depot Location (Latitude/Longitude)
Data Format of Location Data
Average Package Weight (kg/lbs)
Date Data Was Extracted/Collected
Describe any Data Cleaning/Transformation Steps
Problem Definition & Objective Setting
Clearly defines the optimization problem and establishes specific, measurable objectives. This ensures the analysis focuses on the right goals.
Describe the overall logistical challenge this route optimization aims to address.
Define the maximum allowable increase in delivery time (in minutes).
What is the primary objective of the route optimization?
Which constraints must be considered during optimization? (Select all that apply)
Define the total number of deliveries to be optimized.
What is the start date for the optimization analysis?
Describe any specific customer requirements or service level agreements (SLAs) that must be adhered to.
Algorithm Selection & Model Configuration
Choosing the appropriate route optimization algorithm (e.g., Traveling Salesperson, Vehicle Routing Problem solvers) and configuring it with relevant parameters.
Primary Optimization Algorithm
Number of Vehicles Considered
Algorithm Specific Configuration Details (e.g., mutation rates, crossover probabilities)
Objective Function Weighting (if applicable)
Maximum Route Deviation (for feasibility)
Constraints Applied
Input Data File (e.g., CSV, Excel)
Any specific limitations or assumptions applied to the algorithm.
Base Route Analysis & Key Performance Indicators (KPIs)
Establish a baseline route and measure initial performance using key metrics like distance, time, fuel consumption, and cost.
Total Route Distance (Miles/KM)
Total Travel Time (Hours/Minutes)
Fuel Consumption (Gallons/Liters)
Total Vehicle Operating Cost ($)
Number of Deliveries/Pickups
Vehicle Type Used for Baseline Route
Notes on Baseline Route Challenges/Inefficiencies
Date of Baseline Route Assessment
Starting Location of Baseline Route
Optimization Scenario Testing
Experiment with different optimization strategies, constraints, and parameters to identify potential improvements.
Number of Vehicles to Test
Traffic Scenario Type
Maximum Distance Deviation (%),
Maximum Time Deviation (minutes)
Constraints to Relax (for sensitivity analysis)
Notes on specific test configurations
Date of Scenario Test
Time of Scenario Test
Constraint Management & Feasibility Checks
Ensuring proposed routes comply with all logistical constraints, including time windows, vehicle capacity, driver hours, and legal regulations.
Maximum Vehicle Capacity (Weight/Volume)
Maximum Driver Hours per Day
Vehicle Type Restrictions (e.g., bridges, roads)
Earliest Delivery/Pickup Time (Per Stop)
Latest Delivery/Pickup Time (Per Stop)
Time Window Conflicts (Select all that apply)
Legal Regulations Compliance
Notes on Specific Route Restrictions/Comments
Route Visualization & Validation
Visualizing the optimized routes to assess feasibility, identify potential issues, and ensure driver usability.
Describe the visualization tool used (e.g., Google Maps, dedicated routing software)
Upload screenshots of the optimized route visualization.
Identify any critical delivery locations (e.g., high-volume stops) on the visualization for review.
Number of deviations from the original route identified during visual inspection.
Select any potential issues observed during visualization (check all that apply).
Summarize feedback received from drivers regarding the proposed route (if available).
Validation Status: Is the proposed route deemed feasible and acceptable?
Cost-Benefit Analysis & ROI Calculation
Evaluating the potential cost savings and return on investment (ROI) associated with implementing the optimized routes.
Estimated Fuel Savings (per week/month/year)
Estimated Driver Labor Savings (per week/month/year)
Estimated Vehicle Maintenance Cost Savings (per year)
Implementation Cost (Software/Hardware/Training)
Ongoing Software Subscription/Maintenance Costs (per year)
Assumptions Underlying Savings Estimates
Projected Payback Period (in months)
Estimated Annual ROI (%)
Notes/Caveats Regarding Cost-Benefit Analysis
Implementation & Communication
Planning for the rollout of the optimized routes, training drivers, and communicating changes effectively.
Draft Communication Plan for Drivers
Driver Training Method
Training Session Start Date
Number of Drivers Requiring Training
Communication Channels to Drivers
Outline key talking points for driver briefings.
Designated Point Person for Driver Support
Upload training materials (e.g. route maps, guidelines)
Monitoring & Continuous Improvement
Establishing mechanisms to monitor route performance post-implementation and making adjustments as needed to maintain efficiency.
Average Route Deviation (km/route)
Fuel Consumption Variance (%)
Delivery Time Variance (minutes)
Driver Feedback Frequency
Summary of Driver Feedback (Last Review)
Last Route Optimization Review Date
Areas for Potential Improvement (select all that apply)
Number of Unplanned Stops/Diversions (per month)
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