Industrial Automation Performance
Turning Automation Insight Into Industrial Performance
Industrial automation has a direct influence on availability, OEE, cycle time, maintenance response and production stability. However, these results depend on more than the installed technology. They depend on how control systems are monitored, how alarms are interpreted, how backups and parameters are managed, how machine conditions are followed, and how well production and maintenance teams can diagnose problems when equipment stops or performance begins to deteriorate. In many plants, this becomes more challenging when experienced technical resources are limited or when internal teams need additional support to connect machine symptoms with their real causes. EIIP’s approach is built from real shop-floor experience in automation and maintenance, combining field observation, engineering diagnosis and practical knowledge across PLCs, HMIs, CNCs, robots, automated cells, drives, pneumatic and hydraulic systems. EIIP does not operate as an automation vendor, machine builder or generic technical service. The work remains consulting-oriented, but with the technical depth to connect to machines, read signals, review conditions and support diagnosis when the situation requires it. The objective is to identify where performance is being lost and turn alarms, machine signals, technical conditions and field evidence into practical actions that support more stable industrial performance.
Industrial Areas We Support
01.
Machine Control Performance
Diagnosing control-related losses through PLC logic, HMI signals, alarms, sensors, and field evidence.
02.
CNC Performance & Reliability
Connecting CNC alarms, parameters, PMC logic, machine conditions, and maintenance routines to production stability.
03.
Automated Cell Availability
Reducing micro-stops and availability losses across robots, gantries, transfer systems, peripherals, and recovery routines.
04.
Motion & Utility System Reliability
Linking pneumatic, hydraulic, motor, drive, pressure, and movement issues to real machine performance losses.
05.
Automation Data for Decisions
Turning machine signals, downtime, alarms, OEE signals, and maintenance data into practical operational decisions.
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01. Machine Control Performance
This area focuses on defining industrial reliability from the asset design and continues throughout its entire operational life cycle, focusing on indicators and analyses that help define, analyze, and improve the availability and efficiency of critical equipment through data and methodologies that are born in maintenance engineering, feeding information back into design decisions oriented toward improving operation and eliminating maintenance from design (DOM), and that directly impact product quality, OEE, OLE, and other key performance indicators, generating a continuous cycle of improvement of the equipment and its total performance. This cycle not only generates new demands for the equipment manufacturer (OEM), it also drives the application of important new technologies intended to increase these industrial characteristics, technologies that competitive industrial operations are already incorporating. EIIP helps implement this type of approach: root cause analysis, FMEA, EWO, driving a new culture of reliability and continuous improvement, documentation that will serve in an important way for defining requirements for new equipment for new production lines, guaranteeing productivity and efficiency
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02. CNC Performance & Reliability
The excellence of a maintenance team lies in its passion for technological systems and the improvement of equipment, not for watching them fail. This passion makes perceptible the constant harmony of a machine in motion: it is not achieved with methodologies imported from a manual without being questioned, nor with activities loaded into a CMMS without deep analysis that only increase costs and administration time without results. It is built with a system designed according to the nature of the process and tailored to each operation, that integrates people with high technical knowledge, structured processes and proven methodologies, where emergency equipment stops are the exception and availability, safety and efficiency are the sustained result. EIIP accompanies this process in the field: it not only designs the maintenance model, but works embedded in the plant and hand in hand with the maintenance personnel, sharing methods and experience during the implementation, whether in plant start-ups or in the improvement of assets in operation, seeking stability in the operational reality.
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03. Automated Cell Availability
This area focuses on defining industrial reliability from the asset design and continues throughout its entire operational life cycle, focusing on indicators and analyses that help define, analyze, and improve the availability and efficiency of critical equipment through data and methodologies that are born in maintenance engineering, feeding information back into design decisions oriented toward improving operation and eliminating maintenance from design (DOM), and that directly impact product quality, OEE, OLE, and other key performance indicators, generating a continuous cycle of improvement of the equipment and its total performance. This cycle not only generates new demands for the equipment manufacturer (OEM), it also drives the application of important new technologies intended to increase these industrial characteristics, technologies that competitive industrial operations are already incorporating. EIIP helps implement this type of approach: root cause analysis, FMEA, EWO, driving a new culture of reliability and continuous improvement, documentation that will serve in an important way for defining requirements for new equipment for new production lines, guaranteeing productivity and efficiency
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04. Motion & Utility System Reliability
This area focuses on defining industrial reliability from the asset design and continues throughout its entire operational life cycle, focusing on indicators and analyses that help define, analyze, and improve the availability and efficiency of critical equipment through data and methodologies that are born in maintenance engineering, feeding information back into design decisions oriented toward improving operation and eliminating maintenance from design (DOM), and that directly impact product quality, OEE, OLE, and other key performance indicators, generating a continuous cycle of improvement of the equipment and its total performance. This cycle not only generates new demands for the equipment manufacturer (OEM), it also drives the application of important new technologies intended to increase these industrial characteristics, technologies that competitive industrial operations are already incorporating. EIIP helps implement this type of approach: root cause analysis, FMEA, EWO, driving a new culture of reliability and continuous improvement, documentation that will serve in an important way for defining requirements for new equipment for new production lines, guaranteeing productivity and efficiency
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05. Automation Data for Decisions
This area focuses on defining industrial reliability from the asset design and continues throughout its entire operational life cycle, focusing on indicators and analyses that help define, analyze, and improve the availability and efficiency of critical equipment through data and methodologies that are born in maintenance engineering, feeding information back into design decisions oriented toward improving operation and eliminating maintenance from design (DOM), and that directly impact product quality, OEE, OLE, and other key performance indicators, generating a continuous cycle of improvement of the equipment and its total performance. This cycle not only generates new demands for the equipment manufacturer (OEM), it also drives the application of important new technologies intended to increase these industrial characteristics, technologies that competitive industrial operations are already incorporating. EIIP helps implement this type of approach: root cause analysis, FMEA, EWO, driving a new culture of reliability and continuous improvement, documentation that will serve in an important way for defining requirements for new equipment for new production lines, guaranteeing productivity and efficiency
Topics Covered
2.1 TPM (Total Productive Maintenance)
2.2 AM-WCM( Autonomous Maintenance)
2.3 PM-WCM (Professional Maintenance)
2.4 EEM-WCM (Early Equipment Management)
2.5 Preventive & Predictive Maintenance
2.6 Facilities Maintenance
2.7 RCM (Reliability-Centered Maintenance)
2.8 Weibull Curves
2.9 Bathtub Curve
2.10 CMMS (Computerized Maintenance Management System)
2.11 MTBF (Mean Time Between Failures)
2.12 MTTR (Mean Time To Repair)
2.13 OEE (Overall Equipment Effectiveness)
2.14 OLE (Overall Line Effectiveness)
2.15 Mechanical Failure Analysis
2.16 Electrical Failure Analysis
2.17 Field Diagnosis of CNC Equipment
2.18 Spare Parts Management and Spare Parts Warehouse
2.19 Maintenance Backlog Management
2.20 Plant Installation and Startup
2.21 FAT (Factory Acceptance Test)
2.22 Production Line Commissioning
2.23 Plant Revamping and Reengineering
2.24 Corrective Maintenance Management
2.25 Micro-Stoppage Management
2.26 Industrial Failure Analysis