Dynamic Auditing System Using GPS and RFID for Real-Time Quality Assessment
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Solution Overview
Problem
Conventional auditing methods are inconsistent, inaccurate, and inefficient due to their reliance on pre-planned static routes and scales, which fail to capture detailed information about multiple quality factors, leading to wasted time and reduced precision in assessing quality of services and processes.
Innovation Solution
An auditing system that uses customizable audit elements, GPS, and machine-readable identification to dynamically provide detailed audits, allowing for real-time data capture and scoring, with features like customizable scoring methods, location-based task assignment, and efficient scheduling to optimize auditor efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-planned static audits are used, then audit consistency is improved, but auditing efficiency deteriorates due to wasted time waiting for events to occur
Solution Approach 1:
The system transitions from static pre-planned audits to dynamic real-time audits. The audit content is dynamically generated based on current location, time, and contextual factors. Auditors receive audit questions and tasks in real-time as they move through the environment, rather than following fixed predetermined routes, thereby improving efficiency while maintaining consistency through system-generated standardization.
Solution Approach 2:
The system enables auditors to autonomously capture and submit audit data using mobile devices without requiring manual scheduling or waiting for events. The GPS-based location tracking and automated task assignment allow auditors to independently perform audits based on their current position and context, eliminating wasted time while maintaining consistent audit standards through system-generated protocols.
2Measurement precision
If detailed audit elements are captured, then measurement precision is improved, but device complexity increases due to multiple data capture requirements
Solution Approach 1:
The system uses a single mobile device (smartphone or tablet) to perform multiple audit functions: GPS location tracking, photograph capture, data entry, and communication with the central server. This multi-functional approach enables detailed data collection across multiple parameters without requiring separate specialized equipment for each measurement type, thereby maintaining precision while limiting complexity growth.
Solution Approach 2:
The central server acts as an intermediary that receives detailed audit data from auditors and processes, stores, and analyzes the information. This mediator handles the complexity of managing multiple data elements, scoring criteria, and quality thresholds, allowing the auditor's device to remain relatively simple while still capturing comprehensive detailed information through standardized interfaces.
3Reliability
If standardized audit questions are used, then reliability is improved, but adaptability deteriorates due to inability to capture specific quality factors
Solution Approach 1:
The audit system segments quality assessment into multiple hierarchical levels: standardized core questions that ensure consistency, and specific quality factor categories (such as cleanliness, safety, service quality) that can be selectively activated. This segmentation allows the system to maintain reliable standardized procedures while adapting to capture specific quality factors relevant to different audit contexts through modular question selection.
Solution Approach 2:
The system dynamically adjusts audit parameters including which quality factors are assessed, the specific questions asked, and the scoring criteria based on location, time, and audit type. This parameter flexibility allows standardized audit frameworks to adapt to specific contexts and quality requirements without sacrificing the consistency provided by the underlying standardized structure.
Data Source
AI summary
An auditing system for creating audits, presenting the audits to auditor users, capturing data via a user interface, compiling results from captured data, and presenting the results, is disclosed. The auditing system is configured to define and present audit elements and sub elements in a parent-child fashion. The auditing system may be configured to extract scores of audit elements into customizable categories. A location of an auditor device may be determined for tailoring audit content to the auditor device based on the determined location. Machine-readable identification tags may be scanned via an auditor device for determining an identity of the scanned identification tag and associating the identification tag with an audit element. Audit results may be presented visually in an interactable graph such that a user may view scores for each category of each audit element. Further, various scheduling systems are disclosed for scheduling work.