Mobile Scanning Device for Order Picking
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Solution Overview
Problem
Current order filling systems in retail environments lack efficiency in guiding employees to pick customer orders accurately and quickly, especially in large stores with complex layouts, leading to potential errors and increased time consumption.
Innovation Solution
An order filling system comprising a central computing system, mobile scanning devices, and location indicators that transmit signals, allowing employees to receive and display customer orders wirelessly and determine item locations within the store, facilitating efficient product picking by arranging items on the display based on proximity to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual order filling methods are used in large stores with complex layouts, then employees can pick products, but the time consumption increases and errors occur due to difficulty in locating items
Solution Approach 1:
The system pre-calculates and provides optimal picking paths and item locations to employees before they begin the picking process. The mobile device displays the sequence of items to pick and their exact locations, allowing employees to prepare and move efficiently without wandering or searching for products.
Solution Approach 2:
A mobile computing device serves as an intermediary between the central computing system and the employee. It receives order data, calculates optimal picking routes, and presents location information and picking sequences to the employee, eliminating the need for manual product location search and reducing errors.
2Reliability
If employees manually search for product locations in large stores, then they can fulfill orders, but the accuracy of item location and picking decreases leading to errors
Solution Approach 1:
The system replaces manual mechanical searching and memorization of product locations with an automated electronic system. The mobile device provides real-time location data and navigation guidance, substituting human cognitive effort and physical searching with automated information delivery, thereby increasing accuracy and reducing operational difficulty.
3Productivity
If traditional order filling systems are used, then orders can be processed, but the system complexity increases and efficiency decreases in large-scale retail environments
Solution Approach 1:
The system enables employees to independently access order information, product locations, and picking instructions through their mobile devices without requiring assistance from supervisors or complex centralized control interfaces. The mobile device autonomously provides all necessary information for efficient order fulfillment.
Data Source
AI summary
A system includes location indicators, a central computing system, and a mobile scanning device. The location indicators transmit location signals and are arranged in a store that includes stocked items. The central computing system stores an item association table that maps location values to the stocked items. The location values indicate locations of the stocked items in the store. The mobile scanning device receives ordered items from the central computing system, detects location signal(s), and determines a first location value based on the detected location signal(s). The mobile scanning device arranges the ordered items on a display based on the first location value, scans a first ordered item, and transmits data to the central computing system indicating that the first ordered item is associated with the first location value. The central computing system updates the item association table based on the data.