This blog was co authored by Simon K. Lutzenberger, Manager Strategic Partnerships at PTC
Today, PTC and Hortonworks announce a strategic partnership to “fast-forward” the realization of Industry 4.0 benefits including improved manufacturing quality and yield, enhanced asset and plant uptime, and optimized production flexibility and throughput. This collaboration is directed at a state-of-the art solution comprised of complementary offerings from Hortonworks and PTC that, together, provide:
Foundational to the solution is an integration between key Hortonworks and PTC solutions to enable ingesting data from industrial devices, storing and processing it within an enterprise Data Lake and then making this data available for the creation of next-generation IOT analytics, Machine Learning, and AI-enabled manufacturing applications. More specifically, pre-built integration templates result in a best-of-breed solution comprised of the following products:
This resulting solution can provide significant value to customers including best-of-breed data management and analytics solutions, rapid time to value for the implementation of IoT-enabled manufacturing use cases and reduced risk via a pre-integrated solution template.
For more information, see the Hortonworks IoT website.
Despite decades of continuous efforts to improve manufacturing operations, the total cost of poor quality to manufacturers amounts to a staggering 20 percent of sales revenues according to the American Society of Quality. Further, for process-oriented industries, manufacturing yield dramatically impacts company profitability. In the semiconductor industry, for example, a 1% increase in semiconductor yield results in approximately $1 million additional revenue per plant/month.
In addition, equipment and plant downtime costs manufacturers an inordinate amount of money. According to Deloitte, unplanned downtime costs manufacturers approximately $50 billion per year. Deloitte has also found that poor maintenance strategies can reduce plant capacity by 5 percent to 20 percent.
Solution: Big Data Analytics for Manufacturing
Recent advances in Big Data Analytics, leveraging machine learning, provide the ability to improve manufacturing performance in two key areas:
Requires Wide-Ranging Data
Optimizing the effectiveness of Big Data Analytics for Manufacturing requires a combination of sensor data (i.e., time-series data) and broader enterprise data (from ERP, MES, maintenance management, quality management, CRM systems, etc.).
Architecture for Success
This architecture improves quality, yields and equipment / plant uptime with real-time connected manufacturing analytics lifecycle. PTC and Hortonworks are uniquely qualified to enable this real-time connected manufacturing analytics based upon an architectural framework emphasizing big data ingestion and management, machine learning and streaming analytics. The following illustration examines the real-time connected manufacturing analytics lifecycle in greater detail.
Through this integrated solution from PTC and Hortonworks, customers can achieve improved product and process quality and yields through reduced equipment downtime and maintenance costs compared to time-based maintenance, and through lower total solution cost and risk via single, bundled solution for Industrial IoT analytics including data management and advanced analytics.