Predictive Maintenance Scheduling With Automatic Service Work Orders
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Solution Overview
Problem
Current maintenance strategies for building equipment, such as run-to-fail and preventative maintenance, lack efficiency in optimizing maintenance schedules and provider selection, leading to suboptimal cost management and service timing.
Innovation Solution
An automatic work order generation system using model predictive maintenance that determines optimal service times and selects service providers based on availability, rating, and cost, integrating with a building management system to schedule appointments and optimize equipment maintenance decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If preventative maintenance is performed at regular intervals, then equipment reliability is improved, but maintenance costs and time consumption increase
Solution Approach 1:
The system performs preliminary actions by predicting equipment failure trends using sensor data and machine learning models before actual failures occur. This allows maintenance to be scheduled based on actual equipment conditions rather than fixed intervals, performing maintenance only when necessary to maintain reliability.
Solution Approach 2:
The maintenance schedule transitions from static regular intervals to dynamic condition-based timing. The system continuously monitors equipment health parameters and adjusts maintenance timing dynamically based on real-time equipment condition, optimizing the balance between reliability and time consumption.
2Reliability
If multiple service providers are evaluated based on multiple attributes, then service quality is improved, but system complexity increases
Solution Approach 1:
The system changes parameters by transforming multiple service provider attributes (availability, rating, cost) into a single composite score through weighted aggregation. This parameter transformation simplifies the selection process while maintaining comprehensive evaluation of service quality across multiple dimensions.
Solution Approach 2:
The service scheduling system acts as an intermediary that manages the complexity of evaluating multiple service providers across multiple attributes. It automatically performs the complex evaluation and selection process, shielding users from the underlying complexity while delivering optimized service quality.
3Productivity
If optimal service provider selection is performed automatically, then productivity is improved, but automation extent increases
Solution Approach 1:
The system implements self-service by automatically performing service provider selection and work order generation without human intervention. The automated system evaluates service providers, selects the optimal one based on predefined criteria, and schedules maintenance tasks, enabling the organization to serve itself efficiently.
Solution Approach 2:
The system uses feedback mechanisms where service outcomes and equipment condition data are continuously monitored and fed back into the selection algorithm. This feedback loop allows the automation to learn and improve over time, increasing productivity while managing automation complexity through adaptive optimization.
Data Source
AI summary
An automatic work order generation system for model predictive maintenance (MPM) of building equipment including an MPM system including an equipment controller to operate the building equipment to affect an environmental condition of a building. The MPM system can perform a predictive optimization to determine a service time at which to service the building equipment. The automatic work order generation system includes an equipment service scheduler that can determine whether any service providers are available to perform equipment service within a predetermined time range of the service time. In response to determining that service providers are available to perform the equipment service, the equipment service scheduler can select a service provider and an appointment time based on one or more service provider attributes. The equipment service scheduler can generate a service work order and transmit the service work order to the service provider to schedule a service appointment.