mcart@mcartech.com
MCARTech, Inc. is a multinational company with operations in various countries like USA, Canada, India, etc. It specializes in machine diagnostics and predicting equipment failure to improve reliability and prevent unplanned stoppages. The solutions are customized for every site using knowledge based algorithms and rules engines. A hands-on experience in global multi industry manufacturing set-ups, in-depth expertise in measurements and control systems in the IIOT space and strong execution capability are the core strengths of the team.
“To strive, to seek, to find and not to yield” in our quest for partnering with our clients worldwide to help them achieve world class Asset Reliability standards.
Sound equipment health is the foundation for safety, productivity, quality and cost – which in short means
“Predictable and Reliable”
business performance. In the real-world the probability of an unexpected equipment failure is inevitable. The ability to adequately predict an impending failure and respond appropriately to prevent or mitigate the adverse consequences is often the game changer.
At MCARTech, Inc., our mission is to become the life cycle partner of the Reliability community world-wide. We shall strive to help our clients to develop knowledge based failure mode models to predict potentially damaging failures.
We shall custom-build predictive diagnostic algorithms and utilise our platform ALERT to provide an intelligent, intuitive and interactive guidance for a safe, timely and correct response to a critical failure condition.
A boa saúde do equipamento é a base para a segurança, a produtividade, a qualidade e o custo – o que, em suma, significa
“Previsibilidade e Confiabilidade”
no desempenho dos negócios. No mundo real, a probabilidade de uma falha inesperada no equipamento é inevitável. A capacidade de prever adequadamente uma falha iminente e responder adequadamente, para prevenir ou mitigar as conseqüências adversas da mesma, é muitas vezes desafiante.
Na MCARTech, Inc., a nossa visão é tornar-se o parceiro do ciclo de vida da comunidade de Confiabilidade em todo o mundo. Devemos nos esforçar para ajudar nossos clientes a desenvolver modelos de modo de falha baseados no conhecimento, para prever falhas potencialmente prejudiciais. Devemos customizar algoritmos de diagnóstico preditivo e utilizar nossa plataforma ALERT para fornecer uma orientação inteligente, intuitiva e interativa para uma resposta segura, oportuna e correta a uma condição crítica de falha.
Founder of MCARTech, Inc.
Creator of A L E R T
More than three and a half decades of practical experience in the deployment of Reliability Centered Maintenance Practices and Potential Failure prediction modelling.
Transformed maintenance performance of heavy manufacturing industries to achieve and sustain best-in-class reliability standards.
Credible track record in helping plants globally with stressed assets to evolve into reliable, stable, and predictable operation.
Design and Engineering experience, working at companies worldwide.
Ph.D. in Electrical Engineering from Iowa State University, USA; Bachelor and Master of Technology from Indian Institute of Technology (IIT) Kanpur, India.
Co-Founder of MCARTech, Inc.
Seventeen years of equipment experience in process industry worldwide. Held responsible positions in business P&L management, maintenance and major capital projects.
A Mechanical engineer from IIT Bombay (India) with an MBA from Indian School of Business (India).
Cofounded AMI, Monterrey, Mexico in 1987. Currently, Vice President of AMIGE.
An Electrical Engineer from Monterrey Institute of Technology. Electronic Design Engineering from PII, Eindhoven, Netherlands.
Over 10 year of experiences in Software development as a Fullstack developer. Experience in the medical field, the steelmaking industry and insurance.
A Biomedical engineer from the Monterrey Technological Institute (Mexico).
Extensive experience worldwide in welding technologies for cement, mining and steel plant applications.
BS in Mechanical and Metallurgy Engineering from LD College of Engineering, Ahmedabad, India.
