Technician Training Dispatch With Machine Condition State Capture
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Solution Overview
Problem
The skilled trades face a significant labor shortage due to the retirement of experienced workers, lack of vocational training, and inefficiencies in existing online training resources, leading to a need for improved technician training and management systems that cater to individual skill levels and learning styles.
Innovation Solution
A system that dispatches technicians based on skill sets, provides personalized training materials through videos, virtual reality, and augmented reality, and collects data for machine learning to enhance technician proficiency and documentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional apprenticeship training is used, then skill transfer from experienced workers occurs, but the retirement of older workers causes loss of specialized skills and reduces availability of trained workers
Solution Approach 1:
The patent creates digital copies of training materials through video recordings and other collateral captured by technicians during service calls. These copies preserve specialized skills and make them accessible to multiple technicians, eliminating the need for direct apprenticeship transmission and addressing the skill loss problem caused by worker retirement.
2Ease of operation
If online training resources are provided, then access to training materials improves, but the resources lack personalization and do not cater to individual skill levels and learning styles
Solution Approach 1:
The system performs preliminary assessment of a technician's current skill level before assigning training materials. This preliminary action enables personalization by matching technicians with appropriate training content based on their specific needs, rather than providing generic one-size-fits-all online resources.
Solution Approach 2:
The training program is dynamic and adapts to each technician's progress and learning style. The system continuously adjusts training material assignments based on performance feedback and evolving skill requirements, making the training versatile and personalized rather than static and generic.
3Speed
If technicians are dispatched without skill matching, then deployment speed increases, but service quality and efficiency decrease due to mismatched skill sets
Solution Approach 1:
The system uses feedback from service call outcomes and technician performance to continuously improve skill matching algorithms. This feedback mechanism ensures that technicians are efficiently matched with appropriate service calls based on their demonstrated competencies, maintaining both rapid deployment and high service quality.
Data Source
AI summary
Examples related to facilitating the training, assessment, and dispatching of technicians to a customer location for at least the purpose of servicing or repairing machines, devices, or systems present at the customer location are presented. The technician can be selected for dispatch to the customer location by review of database information, including training information for the technician, among other things. While at the customer location, the technician can be provided with training information delivered via a training module, where such training material content can comprise written materials, photos, video, virtual assistance, remote assistance, games, or the like. The technician can generate videos or other collateral while at the customer location, which can be included for use in a library of training materials for subsequent use, or for other purposes. Various systems and processes for facilitating the selection, management and deployment of training materials for technicians are also provided herein.