UMAS integrates its MDAT with Altizon’s Datonis IIoT Platform and Manufacturing Intelligence Application to Pushing Productivity to the Next Level

UMAS integrates its MDAT software with Altizon's Datonis IIoT Platform

UMAS integrates with Altizon’s Datonis IIoT Platform

Altizon Inc., a global industrial IIoT platform company today announced its partnership with UMAS Pvt. Ltd., India’s leading provider of Industrial Engineering consulting services.

UMAS and its flagship MDAT™ work measurement software is a leader in implementing classic Industrial Engineering solutions like facility layout planning, process improvement work measurement using MOST® (Maynard Operation Sequence Technique) and line balancing. To help customers gain total factor productivity improvements which have a significant impact on reducing conversion costs and on plant EBITDA, UMAS has integrated MDAT with Altizon’s Big Data IIoT platform Datonis and Manufacturing Intelligence Application. The combined offering is designed to help clients turbocharge their Lean Six Sigma and industrial engineering initiatives and significantly improve overall plant effectiveness and system performance.

Executive Perspectives

Ashok Badve, Managing Director, UMAS 
“The industrial scenario will be radically different in the coming years. Together with Altizon, we are combining Lean practices with IIoT to help our clients cope with and embrace these changes positively. Changes call for innovation which further leads to progress. Our solutions complement each other very well and together they will deliver outstanding profits and a value-driven ecosystem to customers by simplifying and streamlining their processes and transforming their operations.”

Vinay Nathan, CEO, Altizon
“We are delighted to join forces with UMAS to provide a joint value offering to industrial customers. The easy integration of Umas’ MDAT application with Altizon’s Datonis IIoT platform furthers our commitment to delivering IoT Enabled Manufacturing Intelligence to enterprises by converging enterprise systems and enabling data-driven decision making.”

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