Pre-failure monitoring service for equipment malfunctions【Pre-failure Monitoring Diagnostic Service】
Predictive maintenance starts with determining "whether it is possible," marking the first step in efficient equipment failure prediction monitoring.
The Smart Factory Solution Predictive Monitoring Preliminary Diagnosis Service is a diagnostic service designed to quickly determine whether predictive monitoring of equipment failures is "truly feasible" and "likely to yield investment returns." It addresses the challenges faced by managers who want to engage in predictive maintenance but are unsure which equipment to focus on and what data to use. Based on the equipment mechanisms and past maintenance conditions, the service organizes the data that should be collected. It diagnoses the effectiveness of the currently collected data and conducts simple analysis and verification to assess the feasibility and value of implementing predictive monitoring. 【Features】 - Quickly assess the feasibility of predictive monitoring - Support decision-making through four clear steps - Consider optimal methods from both threshold monitoring and machine learning perspectives - Clarify the next actions toward the full-scale implementation of predictive maintenance It prevents unnecessary development investments and ensures a smooth transition to predictive maintenance.
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basic information
- Service Type: Consulting-type Service - Main Steps: 1) Setting business issues and target equipment 2) Data assessment to capture failure precursors 3) Validity diagnosis of collected data 4) Verification of precursor monitoring through simple analysis - Diagnosis Content: - Evaluation of the implementation value of precursor monitoring - Confirmation of necessary data availability - Assessment of data quality (missing values, outliers) - Judgment of the feasibility of precursor monitoring - Methods: - Threshold monitoring - Machine learning (consideration of applicability) - Output: Proposal for the next phase (data collection and full-scale implementation)
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Applications/Examples of results
【Examples of Use】 - Consideration of predictive maintenance for high-stopping-loss equipment - Assessment of the feasibility of predictive monitoring using existing data - PoC and preliminary evaluation before the introduction of predictive maintenance - Organization of materials for equipment renewal and investment decisions 【Implementation Effects from the Administrator's Perspective】 - Early identification of reasons for not implementing predictive maintenance - Avoidance of unnecessary AI development and analysis investments - Accelerated decision-making through quick feasibility assessments - Expansion into predictive maintenance linked with IoT monitoring and action triggers Shifting equipment maintenance from "reactive response" to "predictive response." We provide a reliable step towards next-generation maintenance DX.
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Company information
Tack has numerous achievements in global system solutions with 21 overseas companies and 18 domestic companies as part of the Ibiden Group. ■Technical expertise cultivated within the Ibiden Group The Ibiden Group engages in a diverse range of manufacturing, including electronics, ceramics, and building materials. Our company was separated and became independent from the information systems department of Ibiden Corporation, contributing to the systematization of information necessary for the operation of group companies in manufacturing, sales, and accounting. We leverage the business know-how in system integration developed through this experience to provide high-quality systems and solutions. ■Supporting customers' global expansion Utilizing the experience and technology gained from system implementation and global network construction in the Ibiden Group's worldwide expansion, we support the deployment of solutions on a global scale. Additionally, we continue to challenge ourselves to deploy the know-how acquired on-site as cloud services to achieve rapid problem-solving. ◆Solutions eligible for IT implementation subsidies
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