Segment-Based Routing for Dynamic Warehouse Order Picking
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Solution Overview
Problem
Traditional vehicle routing problem (VRP) models fail to efficiently optimize order picking in large warehouses due to their inability to handle dynamic changes, complex layouts, and the constant evolution of worker, product, and resource configurations, leading to inefficiencies and increased operational costs.
Innovation Solution
A segment-based approach to routing that utilizes a computerized system to generate base segments, route segments, and dispatch routes that maximize density, leveraging mobile devices and data processing to optimize resource allocation and assignment in real-time, thereby improving order picking efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional VRP models are used to optimize order picking, then the routing can be optimized for static scenarios, but the models fail to handle dynamic changes and complex layouts of large warehouses
Solution Approach 1:
The patent divides the warehouse into multiple zones or segments and processes routing optimization in a hierarchical manner. Instead of treating the entire warehouse as a single static problem, the system segments the facility into manageable areas that can be independently optimized and dynamically adjusted as conditions change, enabling both adaptability and maintained productivity.
2Adaptability or versatility
If more data is collected and processed to handle dynamic warehouse conditions, then the routing optimization can adapt to changes, but the system complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing warehouse layout data, product location information, and historical picking patterns before optimization is needed. This preparatory work creates a structured foundation that enables rapid adaptation to dynamic conditions without requiring complex real-time computations, thus reducing system complexity while maintaining responsiveness.
3Productivity
If traditional VRP models are used, then the implementation is simpler, but they lead to increased travel time and reduced resource utilization in large dynamic warehouses
Solution Approach 1:
The patent implements dynamic routing optimization that continuously adapts to changing warehouse conditions, product locations, and order requirements. Unlike static traditional VRP models, this dynamic approach recalculates optimal routes in real-time based on current state, significantly reducing travel time and improving resource utilization while maintaining implementation feasibility through modular architecture.
Data Source
AI summary
Computerized systems and methods for segment based approach to routing picking are disclosed. The systems and methods may include performing steps for: receiving a floorplan of a first set of location IDs, wherein the first set of location IDs correspond to locations of multiple inventory items arranged in a floor; generating one or more base segments that connect the first set of location IDs; generating one or more route segments by combining the one or more base segments with one or more demand points corresponding to a second set of location IDs; generating one or more dispatch routes through the one or more route segments based on an optimal routing of resources that maximizes a density metric of the multiple inventory items included in the one or more dispatch routes; and assigning a first user to a combination of the one or more dispatch routes.