Order Fulfillment System with Value Sorted Tree Map
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Solution Overview
Problem
Conventional item picking and packaging systems in e-commerce and home shopping industries are inefficient and require significant capital investment, failing to optimize the picking and packaging process.
Innovation Solution
An order fulfillment system that determines whether customer orders warrant bulk picking or pick tours, generating a pick tour plan using a value sorted tree map to optimize the selection and packaging of items, incorporating a mobile pick cart and automated fulfillment system for efficient item retrieval and packaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional manual picking and packaging techniques are used, then capital investment is reduced, but productivity and efficiency deteriorate
Solution Approach 1:
The system segments the picking process into discrete pick tours, each targeting specific items at specific locations. Pick lists are divided into multiple pick tours based on item locations, allowing workers to systematically retrieve items in an optimized sequence rather than handling all items in a single unoptimized trip.
Solution Approach 2:
The system performs preliminary actions by pre-calculating optimal pick routes and organizing pick lists before workers begin picking. The system determines the sequence of item retrieval in advance based on location optimization, so workers follow pre-planned efficient paths through the warehouse rather than making random or suboptimal trips.
2Productivity
If automated picking stations and packing machines are introduced, then productivity improves, but capital investment increases
Solution Approach 1:
The system enables self-service by providing workers with mobile computing devices that automatically generate and update pick lists, calculate optimal routes, and guide item retrieval. The system performs the complex optimization calculations and route planning automatically, while workers simply follow the generated instructions, eliminating the need for expensive automated mechanical picking systems.
Solution Approach 2:
The invention replaces mechanical automated picking systems with an information-based system. Instead of using automated machines to physically retrieve items, the system uses software algorithms to optimize pick routes and provides digital instructions to workers, substituting complex mechanical automation with intelligent software guidance and human execution.
3Loss of time
If pick routes are not optimized, then system complexity is reduced, but loss of time increases
Solution Approach 1:
The system implements feedback by continuously monitoring item locations, updating pick lists, and adjusting pick tours based on real-time warehouse conditions. The system receives feedback about item locations and uses this information to optimize subsequent pick routes, creating a closed-loop system that continuously improves picking efficiency.
Solution Approach 2:
The system applies dynamics by making pick routes flexible and adaptive rather than static. Pick lists are dynamically generated and updated based on current item locations, allowing the system to adapt to changing warehouse conditions and optimize routes in real-time, rather than following fixed predetermined paths.
Data Source
AI summary
The customer order fulfillment system includes an order collection unit for collecting information associated with a plurality of customer orders having items and generating customer order data. Each of the plurality of customer order includes one or more items associated therewith. An order generating unit for receiving the customer order data and generating in response consolidated order fulfillment data, a pick tour generating subsystem for receiving the consolidated order fulfillment data and in response thereto generating pick tour instructions associated with a pick tour, and a bulk pick order fulfillment unit for grouping together similar ones of the items associated with the plurality of customer orders to form a plurality of bulk picks. An automated fulfillment system receives the consolidated order fulfillment data from the order generating unit and automatically selects one or more of the items from one or more carousels, employing the pick tour or the bulk pick.