Wednesday, April 13, 2016

APC|M Europe: Driving Decisions with Automated Workflow and R

Mark Gorman of Seagate Technology presented "Driving Decisions with Automated Workflow and R" on April 13 at the 16th Annual European Advanced Control and Manufacturing (apc|m) Conference. The presentation provided an overview of the value and capabilities gained by Seagate using Savigent Software and R.

The rise of automated workflow in the manufacturing industry has lead to a shift in the way companies approach Business Process Management (BPM). Automation of workflow promotes improved operational efficiency, traceability and standardization across an organization. Now it is time for the industry to take automation to the next level.

By incorporating data analysis and contextualization with workflow, companies can extract additional value both from existing infrastructure and from the large volumes of data being produced daily. The benefits of embedding analysis in workflow include faster response speed to events, improved detection and containment strategies and rapid root cause analysis.

Savigent's Platform has been providing workflow automation within Seagate's manufacturing facilities for five years, enabling the manufacturer to tailor an industrial solution that can interact with tools, control systems and Manufacturing Execution Systems (MES) in house. The open-source R programming language has been integrated with the existing infrastructure as an analytics framework. This enables advanced, actionable analytics to be carried out on a scheduled or reactionary basis.

For companies like Seagate, thanks to the use of workflow automation paired with R, root cause analysis is now faster, more targeted and unanchored with all possible contributing factors in the build included. Engineers and technicians are presented with real-time information so that they can take traceable action to address unforeseen events.

How does this work?

Throughout the workflow a summary of statistical differences is created and can be used to take action during production. Depending on the severity of the issue, the platform will prompt a different automated response such as taking a tool out of production, disabling a recipe configuration or holding defective parts. In addition to the ability to drive better decision making in response to unpredicted events, engineers now have visibility over time of their workflow solutions, providing the opportunity for continuous optimization of best practices and improved operational efficiency.

The use of this technology truly empowers engineers and technicians to "work smarter, not harder," and allows manufacturing companies to better leverage their diverse skill sets. This means better compliance and standardization, higher yields, and most importantly, increased profits.

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