Order Fulfillment System Bulk Pick Tour Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional item picking and packaging systems in home shopping industries are inefficient and require large capital investments, failing to optimize the picking and packaging process effectively.
Innovation Solution
A customer order fulfillment system that determines the need for bulk picks, generates bulk pick recipes, and sends instructions to an automated system or pick agents to optimize the picking and packaging process by grouping similar items and scheduling efficient pick tours.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional manual picking and packaging techniques are used, then flexibility and adaptability are maintained, but productivity and efficiency are low
Solution Approach 1:
The system segments the picking process into discrete pick tours, each targeting specific items or item groups. Pick lists are divided into multiple pick tours that can be executed sequentially, allowing complex orders to be broken down into manageable picking tasks that improve efficiency without requiring fully automated systems.
Solution Approach 2:
The system performs preliminary actions by pre-calculating optimal pick tours and pick lists before the actual picking process. The order management system analyzes upcoming orders and prepares optimized pick routes in advance, allowing pickers to follow predetermined efficient paths through the warehouse rather than making decisions during picking.
2Productivity
If automated picking stations and packing machines are introduced, then productivity increases, but capital investment and system complexity increase significantly
Solution Approach 1:
The system enables self-service by using software-based optimization that automatically analyzes order data, determines optimal pick tours, and generates pick lists without requiring complex automated hardware. The order management system itself performs the optimization function, eliminating the need for expensive automated picking stations while maintaining improved efficiency.
Solution Approach 2:
The patent replaces mechanical automation systems with an information-based system. Instead of using automated picking machines and robotic arms, the system uses software algorithms to optimize pick routes and generate efficient pick lists, substituting physical automation with intellectual automation through data processing and algorithmic optimization.
3Loss of time
If conventional picking processes are used without optimization, then system simplicity is maintained, but loss of time and inefficiency increase
Solution Approach 1:
The system implements feedback by continuously analyzing order data, pick tour performance, and warehouse layout information to refine and optimize pick routes. The order management system uses feedback from actual picking operations to improve future pick list generation, reducing picking time progressively while the system learns from operational data.
Solution Approach 2:
The system optimizes picking by dynamically changing parameters such as pick tour sequence, item grouping, and route optimization based on order characteristics. The order management system adjusts picking parameters like pick tour priority, item consolidation groups, and picker assignment based on real-time order data and performance metrics.
Data Source
AI summary
A customer order fulfillment system comprising an order collection unit for collecting information associated with a plurality of customer orders and generating related customer order data. The system also includes an order generating unit for receiving the customer order data from the order collection unit and generating in response thereto consolidated order fulfillment data, and a bulk pick order fulfillment unit for receiving the consolidated order fulfillment data from the order generating unit and grouping together similar ones of the items associated with the customer orders to form a plurality of bulk picks, wherein one or more of the bulk picks can form part of one or more bulk pick tours. The system further includes a pick tour generating unit for receiving the consolidated order fulfillment data from the order generating unit and for generating pick tour instructions associated with a pick tour from the consolidated order fulfillment data.