Order Fulfillment via Dynamic Picker Assignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current order filling systems in retail environments face inefficiencies in assigning and managing customer orders among pickers and item carriers, particularly in determining availability and optimizing the distribution of orders across multiple carriers and locations within a store.
Innovation Solution
A system comprising mobile scanning devices (MSDs) and a computing system that assigns customer orders to pickers and item carriers based on availability, order limits, and location, using location indicators and item adjacency maps to optimize order fulfillment and item placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple pickers are assigned multiple customer orders simultaneously, then order fulfillment throughput increases, but tracking availability and managing order distribution becomes more complex
Solution Approach 1:
The system continuously monitors picker availability status and carrier capacity through real-time data collection from MSDs and carrier records. The computing system uses this feedback to dynamically adjust order assignments, ensuring optimal distribution while maintaining tractable management complexity through automated decision-making based on current system state
Solution Approach 2:
Pickers interact with the system through mobile scanning devices that automatically update their availability status and receive order assignments without manual intervention. The system self-manages the complexity of tracking multiple pickers and orders by having each picker's MSD report status and receive instructions autonomously
2Adaptability or versatility
If item carriers are reused across multiple orders, then carrier availability increases and equipment utilization improves, but determining carrier availability and managing multi-order assignments becomes more difficult
Solution Approach 1:
The system maintains carrier records that are continuously updated with availability status based on current order assignments. When a carrier completes an order or returns to a picking location, its availability is automatically detected and measured through scanner inputs and system updates, making multi-order carrier management tractable through real-time data feedback
Solution Approach 2:
The computing system proactively identifies and assigns orders to carriers based on predicted availability and current system state. By performing preliminary assignment planning that considers carrier capacity and location, the system optimizes carrier utilization while simplifying the complexity of tracking multiple carriers across different orders
Data Source
AI summary
Picker mobile scanning devices (MSDs) are associated with different pickers in a store. A computing system receives initial customer orders. The computing system assigns ordered items from the initial customer orders to the picker MSDs and stores a plurality of picker records, wherein each picker record includes data associated with a corresponding picker and picker MSD, and wherein each picker record includes an order limit number that indicates a number of different customer orders that can be assigned to the picker MSD. The computing system receives a new customer order including newly ordered items, determines a candidate set of pickers that have availability to receive newly ordered items based on the order limit numbers and a number of currently assigned customer orders associated with each of the pickers. The computing system selects a picker from the candidate set and assigns a set of newly ordered items to the selected picker.