AI-ordlista
Den kompletta ordlistan över AI
Maintenance Task Scheduling
Algorithmic process aimed at organizing and sequencing maintenance interventions over time, optimizing resource utilization and compliance with operational constraints.
Tabu Search Algorithm
Optimization metaheuristic that explores the solution space by temporarily prohibiting moves leading to already visited solutions, to avoid local optima in complex schedules.
Accelerated Aging Model
Statistical or probabilistic model that estimates future asset degradation based on its usage history and stress factors, to anticipate maintenance needs.
Maintenance Time Window
Temporal constraint defining a period (often a range of a few hours or days) during which a maintenance intervention must be imperatively carried out to minimize impact on production.
Maintenance Recommendation System
AI system that proactively suggests optimal maintenance actions in real time, based on equipment status, failure predictions, and team availability.
Constraint Programming (CP)
Programming paradigm where the planning problem is defined by a set of variables, constraints, and an objective function, solved by constraint propagation algorithms.
Technician Routing Heuristic
Empirical rule or simplified algorithm used to quickly calculate optimal routes for maintenance technicians, taking into account travel times and intervention priorities.
Dynamic Criticality Index
Score calculated in real time for each equipment, weighting the impact of a potential failure on production, safety, and costs, in order to prioritize predictive maintenance actions.
Reinforcement Learning for Planning
Use of AI agents that learn an optimal planning policy through trial and error, maximizing a cumulative reward related to the overall performance of assets.
Maintenance Scenario Generation
Simulation process that creates multiple possible future maintenance schedules based on different failure assumptions, to evaluate the robustness of a strategy.
Team Skills Aggregation
Modeling of technicians' expertise and certifications to optimally assign them to maintenance tasks, ensuring that required interventions are performed by qualified personnel.
Sliding Planning Horizon
Time period over which the maintenance schedule is established, which is continuously updated (for example daily) to incorporate new information and predictions.
Genetic Algorithm for Scheduling
Metaheuristic inspired by natural evolution, using selection, crossover, and mutation operators to evolve a population of schedules toward a near-optimal solution.
Maintenance Opportunity Cost
Indirect cost associated with not performing preventive maintenance, including production losses, more expensive emergency repairs, and accelerated equipment degradation.
Stochastic Planning
Planning method that incorporates uncertainty and the probabilistic nature of failures into the model, to generate robust schedules capable of adapting to unforeseen events.
Asset Dependency Matrix
Modeling tool that maps functional relationships between equipment, where the failure of one asset can impact the operation of others, influencing maintenance priority order.