Digital Mission

Technology as a Service

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Smart Manufacturing Strategic Asset Management

Autonomous Asset Tracking

Current Situation

The lag between the asset performance issues and it being detected is considerably large and leads to valuable productivity losses.

Goals and Objectives

Near automation results in faster detection of fault states, resulting in reduced maintenance costs and improved line visibility.

Technology Deployed

– Hardware: Services, storage, IoT, smartphone, and tablets
– Software: Big Data/analytics, cognitive/AI, machine learning, cloud, mobile, ERP, MES, APM, and SLM
– Services: Business services and IT services

Use Case Summary

Assets are monitored continuously and issues are diagnosed seamlessly. Maintenance resources and activities are automatically triggered and launched depending on the severity of the issue, type of asset, criticality, and so forth.

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