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PROBLEM STATEMENT.

Shop-floor Productivity:

Industries that still run on traditional models or trying to adopt automation are facing critical challenges when it comes to job allocation, lack of real-time data, machine downtime & maintenance and added to it operational safety.

Supply-chain: 

While there has been a positive shift towards automation there is still a gap in maintaining data. Records indicate around 75% of supply chain data generated outside the ERP system. This creates a major risk in miscommunication, and feeding of incomplete or wrong data.

ADVENT OF
TECHNOLOGY.

The unprecedented success of the Fourth Industrial Revolution (Industry 4.0) has taken manufacturing to the next level as industries now understand the essence of automation. While the new business model will surely drive production and capital of an enterprise, its implementation however should follow a methodical approach. Industries that have opted to the new ecosystem need to be flexible to adopt the new business model. On the flip side, industries which tried to adopt automation without a clear transformation agenda, failed badly.

The agenda to adopt digital transformation is to decrease manual operation and build a predictive model to help an organisation analyse and forecast any possible issues during production. Industry 4.0 therefore not only brings automation but acts as a virtual guide to bring digital disruption.

HOW DATA ANALYTEC CAN HELP YOU

We understand the complexities of digital transformation. We have developed a holistic approach which will help industries manage the new transformation in a seamless manner. From selection of hardware such as sensors, networking, collecting, analyzing, visualizing, building a POC, to creating a predictive model, Data Analytec works closely with the stakeholders to understand the AS-IS structure and provides a customized solution for a successful transformation to the new ecosystem.

Following are the steps that Data Analytec follows for a successful digital disruption:

  • Thorough understanding of the current situation of a manufacturing unit [AS-IS Study].
  • Define a new approach to adapt to the transformation [2B Phase]
  • Gather historical data of the manufacturing unit.
  • Build Proof of Concept [POC]

Once the POC gets approved the next function would be to:

  • Strategize a policy to roll out the new model in the production unit.
  • Installation of hardware, such as, sensors, RFID whatever applicable to strategic points to ensure gathering of raw data.
  • Implementation of network and security layer.
  • Develop real-time application to review current operation.
  • Develop predictive models for inspection and take preventive measures.
CONTACT A DATA ANALYTEC TECHNOLOGY ANALYST TODAY!

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