Inner Pack Error Detection via Modulus Division
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Solution Overview
Problem
Modern inventory systems face inefficiencies in handling and recording of items due to errors in package nesting arrangements, leading to incorrect counts and poor system performance, particularly with inner pack receive errors and broken set receive errors.
Innovation Solution
A receiving site manager with predictive troubleshooting modules detects errors by comparing predicted and actual quantities of items, using modulus division and alerts to investigate discrepancies, and provides instructions for correction, such as breaking inner packs, to ensure accurate inventory management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated package receiving and recording is implemented, then productivity increases, but measurement precision deteriorates due to errors in detecting inner pack quantities
Solution Approach 1:
The system implements feedback by comparing the detected quantity of items against the expected quantity from the packing manifest. When discrepancies are found (such as inner packs being recorded as individual items), the system generates alerts and notifications to correct the recording errors, ensuring measurement precision is maintained while preserving automated processing productivity
Solution Approach 2:
The patent replaces manual verification processes with automated image recognition and machine learning algorithms. The system uses computer vision to detect and count items in received packages, substituting human inspection with automated optical systems that can process packages at high speed while maintaining detection accuracy through algorithmic analysis
2Measurement precision
If manual verification of received packages is performed, then measurement precision improves, but productivity decreases due to time-consuming intervention
Solution Approach 1:
The system performs preliminary automated detection and classification of package contents before final recording. By pre-processing packages through image capture and analysis, the system identifies potential errors early in the workflow, allowing manual verification to focus only on suspicious cases rather than every package, thus maintaining precision without fully sacrificing productivity
3Ease of operation
If inner packs are recorded as individual items, then ease of operation improves for stowing, but manufacturing precision deteriorates due to incorrect inventory recording
Solution Approach 1:
The system implements dynamic recording that adapts based on detected package structure. When inner packs are identified, the system can flexibly switch between recording them as nested packages (preserving manufacturing precision) or as individual items (improving stowing ease), depending on the specific situation and configuration, thus resolving the contradiction between operational convenience and recording accuracy
Data Source
AI summary
Embodiments herein described relate to methods for enabling the detection of inner pack receive errors at a receiving site for a marketplace by comparing quantities of predicted and received items by receiving a predicted quantity, determining a received quantity, performing a modulus division of the predicted and received quantities of items, and using the remainder to detect the presence of inner packs within received packages of items.