Dynamic Delivery Route Assignment by Worker Efficiency
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Solution Overview
Problem
Conventional delivery systems are inflexible and unable to dynamically adjust delivery regions or assign workers in real-time, leading to inefficiencies such as overburdened or underutilized workers, and are not equipped to handle changing delivery volumes or optimize routes based on load limits and worker efficiency.
Innovation Solution
A system that uses a processor and memory to retrieve and analyze delivery routes and sub-routes, assign workers based on package allocation and worker characteristics, and dynamically modify routes and sub-routes to match available workers, incorporating geographical and historical data to optimize delivery efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed delivery regions are assigned to single delivery workers, then each worker has a clear designated area, but the system cannot dynamically adjust to changing delivery volumes or worker availability
Solution Approach 1:
The patent implements dynamic delivery regions that automatically adjust based on real-time data including worker availability, package volume, and delivery demands. The system continuously recalculates optimal region boundaries and worker assignments, transforming the static fixed-region model into a flexible dynamic system that adapts to changing conditions without manual intervention.
Solution Approach 2:
The system incorporates real-time feedback loops that monitor delivery volumes, worker performance, and region characteristics. This feedback drives automatic recalibration of delivery regions and worker assignments, enabling the system to respond to changing conditions by adjusting region boundaries and resource allocation based on actual performance data and current demands.
2Productivity
If manual route assignment based on driver experience is used, then routes are established, but the process is time-consuming and cannot account for daily changes in package distribution or worker efficiency
Solution Approach 1:
The system implements automated self-service capabilities where the computer system independently performs route optimization, worker assignment, and region calibration without manual intervention. The system automatically processes package distribution data, analyzes worker efficiency metrics, and generates optimized delivery routes, eliminating the time-consuming manual sorting and assignment processes while continuously improving delivery efficiency.
Solution Approach 2:
The patent replaces manual mechanical processes of route planning and worker assignment with automated computerized systems. The system uses algorithms to process delivery data, calculate optimal routes, and assign workers based on efficiency metrics, substituting the manual experience-based approach with data-driven automated decision-making that significantly reduces planning time and improves productivity.
3Adaptability or versatility
If delivery regions are fixed and static, then regional boundaries are stable, but the system cannot cope with dynamic changes in delivery volume or worker resources
Solution Approach 1:
The patent creates universal delivery regions that can serve multiple functions and adapt to different scenarios. The same regional framework can accommodate varying delivery volumes, different worker availabilities, and changing package distributions by dynamically adjusting assignments rather than requiring separate fixed regions for each scenario. This multi-functional approach allows the system to handle diverse conditions with a single flexible regional structure.
Solution Approach 2:
The system dynamically changes key parameters including region boundaries, worker assignments, and route configurations based on current delivery volumes and resource availability. By allowing these parameters to fluctuate and adapt rather than remaining fixed, the system can efficiently handle varying delivery demands and optimize worker utilization without requiring additional workers for peak periods or maintaining underutilized capacity during low-volume periods.
Data Source
AI summary
A system for attendance assignment. The system may include a memory storing instructions and at least processor configured to execute the instructions to perform operations. The operations may include retrieving, from a database, a plurality of delivery routes and a plurality of delivery sub-routes, wherein the delivery sub-routes are part of the delivery routes; calculating, based on the retrieval, a number of packages allocated to the delivery sub-routes; receiving, as input, a number and a type of workers available for deliveries, wherein the type including at least one of classification characteristics or efficiency characteristics; assigning, based on the calculated number of packages and the received input, the workers to a plurality of groups, wherein the groups correspond to different delivery routes or sub-routes; and comparing, based on the assignment, the assigned workers against the delivery routes or the delivery sub-routes.