Technician Control System Scheduling Configuration
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Solution Overview
Problem
Current scheduling and dispatch systems for mobile technicians lack efficiency in managing work orders and technician performance, leading to potential schedule and quality issues, and do not effectively leverage client-specific configuration settings to optimize operations.
Innovation Solution
A technician control system that aggregates scheduling configuration options, allows client-specific weighting of these options, and configures a scheduling application to prioritize client goals, enabling real-time monitoring and alerting of schedule or quality issues, and managing work order assignments and technician performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual scheduling and dispatch methods are used, then system complexity is low, but scheduling efficiency and productivity are poor
Solution Approach 1:
The scheduling application automatically performs scheduling operations by evaluating configuration options and assigning work orders to technicians without manual intervention. The system self-configures based on client-weighted preferences, eliminating the need for complex manual scheduling processes while maintaining high efficiency.
Solution Approach 2:
The patent replaces manual mechanical scheduling methods with an automated software-based scheduling application. This substitution eliminates the need for human operators to manually create and manage schedules, thereby improving productivity while the software handles the complexity internally without requiring users to understand the underlying system complexity.
2Productivity
If automated scheduling application is implemented, then scheduling efficiency is improved, but device complexity increases
Solution Approach 1:
The scheduling application acts as an intermediary between client preferences and technician assignments. It translates high-level client-weighted configuration options into detailed scheduling decisions, thereby improving efficiency while shielding users from the underlying system complexity. The intermediary handles the complexity internally through automated rule-based processing.
3Adaptability or versatility
If client-specific configuration weighting is implemented, then adaptability to client needs is improved, but device complexity increases
Solution Approach 1:
The system allows clients to weight different configuration options (parameters) according to their preferences. By changing these parameters, the scheduling application adapts its behavior to match specific client needs. The complexity of managing multiple parameters is handled automatically by the system, which processes the weighted preferences to generate optimized schedules without requiring manual configuration management.
4Reliability
If real-time monitoring and alerting is implemented, then reliability of schedule management is improved, but use of energy and system resources increases
Solution Approach 1:
The system implements real-time monitoring that continuously feeds back schedule status and technician performance data to stakeholders. This feedback mechanism improves reliability by enabling timely detection and correction of schedule or quality issues. The feedback is generated automatically through the existing scheduling application infrastructure, minimizing additional resource consumption while maintaining continuous monitoring capability.
Data Source
AI summary
Technician control, in which a control system is configured to control scheduling and dispatch operations for work orders being handled by technicians. Multiple technician devices are each associated with one or more technicians, are configured to communicate, over a network, with the control system, and also are configured to provide output in response to communications that are received from the control system and that are related to the scheduling and dispatch operations performed by the control system. A set of scheduling configuration options may be pre-defined and user input weighting at least one of the scheduling configuration options relative to other of the scheduling configuration options may be received. A scheduling application used by the control system to perform scheduling operations may be configured based on configuration data that reflects the weighting and scheduling operations may be performed using the configured scheduling application.