MICRONITE’S Data-driven automated decisions replace assumptions
Our definition of intelligent data power is simple: a knowledge-based advanced software that makes decisions for operators and engineers to improve ways they use machines and tools. MICRONITE could be decision based on correctly captured inspection data that provides zero-defect process control or model-supported tool life data that could allow to compile a long-term machining database.
MICRONITE’s automation of production data capture and real-time decision making prevent groundless assumptions about causes of waste and inefficiencies. With MICRONITE decisions, users understand what drives costs of production and quality. Without this data-driven understanding and automated decisions of MICRONITE, managers are unlikely to allocate resources appropriately and know where to make improvements. At best, it may generate suboptimal results; at worst, it could inadvertently destroy value.
.
Automation of production data capture and real-time decision making prevent groundless assumptions about causes of waste and inefficiencies.
With MICRONITE decisions, users understand what drives costs of production and quality. Without this data-driven understanding and automated decisions, managers are unlikely to allocate resources appropriately and know where to make improvements. At best, it may generate suboptimal results; at worst, it could inadvertently destroy value.
- Automating operational decisions reduces the risk of human errors and ensures traceability of actual process and production failures
- Every MICRONITE decision is calculated, precise and rooted in operational data.
- Automated operational decisions reduce the risk of errors and ensure consistent controllability of large amount of characteristics
- The rule-based system provides tool-and-quality evaluations to determine the best possible action
- Operational deficiencies identified detailing causes of incorrect actions
- Decisions are appeared on drawings, action charts, tool tracks, in-screen metrology analyses, quality certificates, and production reports
Intertwined models foster information sharing and sound decisions
MICRONITE’s in-process and offline inspection data create highly accurate, intertwined predictive models used by a rule-based system for automated decisions. The right decisions are delivered to the right people at the right time – complete, clear and cost-effective. A principal recipient of MICRONITE decisions is an operator. Operators acknowledge and agree that MICRONITE has huge impact on their ability to eliminate scrap, reduce offsets and tool changes, increase efficiency, and improve communication with supervisors. MICRONITE decisions free engineers from time-consuming analysis of individual charts, so they can focus on the optimization logic and implementation of advanced strategies.
Process status with decisions to continue or stop a process
(up to 1,000 characteristics in a time)- Decisions on permissible tolerance limits for instruments, operators, and methods
- Decisions on capability of multi-feature tool to concurrently hold tolerances
- Low-risk decisions on acceptance of product quality
- Decision mechanisms are based on a variety of predictive and statistical models
