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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

Vendor
Murata Manufacturing
Year Launched
1944
Location
10-1, Higashikotari 1-chome, Nagaokakyo-shi, Kyoto 617-8555, JP
Deployment
cloud
Training Options
documentation, videos, live online, in person
Countries Served
All Countriesjapan
Languages
English
Users
Researchers, Scientists, Lab Technicians, Data Analysts
Industries Served
Healthcare, Pharmaceuticals, Manufacturing, Research
Tags
Data Management

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

Free trial
Free version
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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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