RF Tag Scanning for SMT Material Object Management
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Solution Overview
Problem
In surface mount technology, material objects are often picked manually, leading to inefficiencies and errors due to staff unfamiliarity with shelf positions, similar identification numbers, and manual counting issues, resulting in incorrect picking and potential production line pauses.
Innovation Solution
An intellectual material object management method and system utilizing RF tag scanning to assist in identifying and tracking material objects, including scanning carrier and shelf tags to accurately place replenishment carriers, generating picking lists, counting remaining objects, and printing tags to avoid identification errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual picking is used, then flexibility and adaptability are maintained, but picking accuracy and speed deteriorate due to staff errors and unfamiliarity
Solution Approach 1:
The system enables self-service through automated RF identification and verification. The picking device automatically identifies MOs, verifies them against the picking list, and records quantities without requiring staff to manually check or verify, making the system self-correcting and eliminating human error in identification
Solution Approach 2:
The patent replaces manual mechanical identification and counting with automated RF electromagnetic field-based identification. The RF scanning device automatically reads MO tags and verifies them against the database, substituting human visual inspection and manual counting with electronic automated verification
2Device complexity
If manual counting and handwriting on tags is used, then device complexity is reduced, but measurement precision and reliability deteriorate due to careless or wrong handwriting
Solution Approach 1:
The system replaces manual handwriting with automated electronic data processing. The picking device automatically records quantities in the database through electronic communication, eliminating handwriting entirely. The printer then automatically generates clear, machine-readable tags with precise quantity information
Solution Approach 2:
The system creates electronic copies of quantity information in the database and generates printed tags as physical copies. This ensures accurate replication of data without human transcription errors, as the electronic copy is directly transferred from the database to the printed tag
3Adaptability or versatility
If staff manually locate MOs using ID numbers, then adaptability is maintained, but time consumption increases due to unfamiliarity with shelf positions and similar ID numbers
Solution Approach 1:
The system replaces manual visual search and ID number matching with automated RF electromagnetic scanning. The picking device automatically detects and identifies MOs by scanning their RF tags, eliminating the need for staff to visually search or remember shelf positions and ID numbers
Solution Approach 2:
The RF tag acts as an intermediary carrier of MO identification information. Instead of staff directly reading ID numbers on MOs, the RF scanning device reads the RF tag information and automatically matches it with the database, serving as an intelligent mediator that accelerates identification
4Reliability
If manual verification by additional staff is implemented, then reliability improves, but device complexity and labor requirements increase
Solution Approach 1:
The system performs self-verification through automated RF identification and database comparison. The picking device automatically verifies each scanned MO against the picking list and database records, eliminating the need for separate verification staff and making the verification function self-executing
Solution Approach 2:
The system implements automated feedback loops where the picking device continuously scans MOs, compares them with the picking list in real-time, and provides immediate verification feedback. The database updates quantities and provides confirmation signals, creating a closed-loop feedback system that ensures accuracy without additional personnel
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system ensures accurate and efficient picking and placement of material objects by eliminating manual errors, reducing the need for additional staff to verify counts, and simplifying the process of finding and counting material objects, thereby preventing production line disruptions.
Implementation Method 1
a carrier tag of a replenishment carrier and a shelf tag of at least one present supplying shelf are scanned utilizing a RF scanning device
Implementation Method 2
a remaining amount of remaining MOs is counted utilizing a counting device
Implementation Method 3
an amount tag for the remaining MOs is printed according to the remaining amount of the remaining MOs for sticking on a remaining MO carrier
Data Source
AI summary
An intellectual material object management method includes: an RF scanning device scans a carrier tag of a replenishment carrier and a shelf tag of at least one present supplying shelf among stock shelves of a warehouse to assist for putting the replenishment carrier on a target shelf for the replenishment carrier. An MO picking list for obtaining information of at least one selected MO is received. The RF scanning device scans an MO tag of a present picking MO on a present picking shelf among the stock shelves and a list tag of the MO picking list to assist for obtaining the selected MO from the stock shelves of the warehouse. A remaining amount of remaining MOs is counted. An amount tag for the remaining MOs is printed according to the remaining amount of the remaining MOs for sticking on a remaining MO carrier for loading the remaining MOs.