About m-FLIP
M-FLIP is a software platform from Murata Manufacturing for accessing technical articles. It includes categories, products launch, company launch, and contact us launch so users can easily find relevant information about Murata’s solutions. The platform focuses on topics such as sensor fusion in smart factories and predictive maintenance technology, providing insights into the change of traditional factories into smart manufacturing environments. Users can browse through popular categories to find articles that meet their needs. Key capabilities: categories products launch company launch contact us launch Americas English Best for: professionals and engineers who need in-depth knowledge on advancements in manufacturing technology.
M-FLIP (Murata Factory Leading Information Platform) by Murata Manufacturing is a cutting-edge data management platform specifically designed for smart manufacturing and industrial IoT (IIoT) environments. As part of Murata’s broader push into digital transformation, M-FLIP serves as a centralized hub for collecting, analyzing, and visualizing data across various factory operations. Its primary purpose is to enhance manufacturing efficiency, quality control, and predictive maintenance through real-time data acquisition and intelligent analytics. M-FLIP supports integration with sensors, PLCs, MES/ERP systems, and other industrial components, helping factories make data-driven decisions with precision and speed. The M-FLIP interface is tailored for manufacturing environments, striking a balance between simplicity and depth. Its dashboard-centric design allows users to monitor key metrics such as machine uptime, energy consumption, and production throughput at a glance. The UI features customizable widgets and drag-and-drop panels, enabling operators, engineers, and managers to personalize their views based on roles and responsibilities. Navigation is intuitive, with clear labels and color-coded alerts that highlight anomalies in real time.
Pros & Cons
- Combines diverse sensor data for more accurate and early detection of equipment issues.
- Shifts from reactive to predictive maintenance, reducing unexpected breakdowns and optimizing maintenance costs.
- Directly targets and eliminates waste, inconsistencies, and unreasonableness in manufacturing processes.
- Provides quantified insights into equipment and worker performance, enabling informed process and personnel optimization.
- Utilizes integrated sensor data for better quality judgments and prevention of defective products.
- Integrating numerous sensors and IT systems can be complex and require significant initial setup.
- Managing and interpreting large volumes of data from various sensors might be challenging without robust analytics.
- The effectiveness of the system relies heavily on the accuracy and reliability of the deployed sensors.
- Fully leveraging the system's capabilities, especially for analysis and improvement
Features
Key features
The software helps identify and eliminate unreasonableness, waste, and inconsistencies in smart factory processes, leading to improved production efficiency.
It integrates data from multiple sensors (e.g., vibration, temperature, current, voltage, image) to extract more comprehensive and useful information for decision-making.
By continuously monitoring equipment conditions and analyzing sensor data, m-FLIP enables the implementation of predictive maintenance, minimizing downtime and optimizing maintenance schedules.
The solution is designed to uncover hidden issues in smart factory conversion processes through data analysis and provides hints for resolving them.
m-FLIP's core function is to maximize the operating rate of manufacturing devices by tracking causes of halts and providing actionable insights.
The system quantifies worker movements and equipment status, allowing for data-driven reviews of work procedures, equipment improvements, and optimal personnel allocation.
Additional features
Combines data from multiple sensors to provide richer, more accurate information about factory conditions.
Enables proactive equipment maintenance by analyzing sensor data to predict potential failures.
Provides ongoing oversight of machinery performance, allowing for the detection of aging and changes over time.
Gathers operating rate and actual working rate data from Programmable Logic Controllers (PLCs) of various manufacturers.
Gathers data on worker activities through touch-panel PCs.
Helps optimize staffing and worker deployment by understanding work information and equipment status.
Includes a feature to generate reports with charts and tables, allowing for comments and sharing.
Specific application of sensor fusion to enhance smart factory operations.
Leverages advanced AI technologies for more accurate and efficient predictive maintenance.
Aims to resolve situations where smart factory investments don't lead to expected efficiency gains.
Pricing
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About m-FLIP
M-FLIP is a software platform from Murata Manufacturing for accessing technical articles. It includes categories, products launch, company launch, and contact us launch so users can easily find relevant information about Murata’s solutions. The platform focuses on topics such as sensor fusion in smart factories and predictive maintenance technology, providing insights into the change of traditional factories into smart manufacturing environments. Users can browse through popular categories to find articles that meet their needs. Key capabilities: categories products launch company launch contact us launch Americas English Best for: professionals and engineers who need in-depth knowledge on advancements in manufacturing technology.
m-FLIP Details
m-FLIP's In-App Market Place
Does m-FLIP have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CHF (CHF), CNY (元), INR (₹), RUB (₽), BRL (R$), KRW (₩), MXN (Mex$), SEK (kr), SGD (S$), PLN (zł), TRY (₺), ZAR (R), HKD (HK$), NOK (kr), DKK (kr), SAR (﷼), AED (د.إ), NZD (NZ$), THB (฿), IDR (Rp), MYR (RM), HUF (Ft), CZK (Kč), ILS (₪), CLP (CLP$), PHP (₱)
Pros & Cons
- Combines diverse sensor data for more accurate and early detection of equipment issues.
- Shifts from reactive to predictive maintenance, reducing unexpected breakdowns and optimizing maintenance costs.
- Directly targets and eliminates waste, inconsistencies, and unreasonableness in manufacturing processes.
- Provides quantified insights into equipment and worker performance, enabling informed process and personnel optimization.
- Utilizes integrated sensor data for better quality judgments and prevention of defective products.
- Integrating numerous sensors and IT systems can be complex and require significant initial setup.
- Managing and interpreting large volumes of data from various sensors might be challenging without robust analytics.
- The effectiveness of the system relies heavily on the accuracy and reliability of the deployed sensors.
- Fully leveraging the system's capabilities, especially for analysis and improvement
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