• Bristol-Myers Squibb

    Bristol-Myers Squibb How Bristol-Myers Squibb Obtained Real-time Multivariate Analytics with the PI System The pharmaceutical industry is experiencing increased pressure to ensure cheaper, higher throughput products while still maintaining compliance, superior quality, and  good manufacturing practices (GMP).

    New York Power Authority (NYPA) PI World customer story

    Founded in 1931 by Franklin Delano Roosevelt, the New York Power Authority (NYPA) is the largest state public power operation in the United States. With over 1,400 miles of transmission assets scattered across the state, NYPA’s mission is to power the economic growth and competitiveness of New York State by providing customers with low cost, clean, reliable power. But doing so is no small feat. It requires optimizing power generation assets, ranging from hydro to combined cycle, fossil fuel, and natural gas, as well as moving power supply from the resource-rich northern terrain to the densely populated New York City. With 83 percent renewable energy, $200 million in energy services business and an AA credit rating, it’s clear that NYPA is delivering on its promises. Yet the utility understands that achieving operational excellence is a dynamic process. Never content to settle, NYPA embarked on an ambitious strategic plan focusing on customer empowerment, infrastructure modernization, and resource alignment. After signing an Enterprise Agreement (EA) with OSIsoft in 2017, NYPA adopted the PI System as an enterprise-wide data infrastructure at the center of its transformation into an end-to-end digital utility.
    Year: 2019

    ENI S.p.A. PI World customer story

    Headquartered in Rome, Eni S.p.A. identifies and extracts oil and gas across 79 countries. Given the volatility of the oil and gas market, Eni’s long-term success hinges on the combination of optimizing a network of upstream assets while locating new extraction opportunities. To do so, Eni engineers were using operational data to monitor upstream assets; however, information was not available in real-time. Not only did this cause delays in analysis, it prevented the team from capitalizing on new revenue streams. With the goal of creating new efficiencies in production by finding optimal asset parameters, Eni turned to the PI System. Leveraging data to feed simulation models representing real-time oil field conditions, Eni embarked on a journey to optimize asset configuration and maximize oil production across sites.
    Year: 2019

    Covestro PI World customer story

    Covestro’s story is a common one in the manufacturing world. The company had a wealth of data streaming in from equipment and processes: data that could theoretically be harnessed and acted upon. But its data was difficult to access, stored in local silos, and cut off from sharing and analysis by the lack of enterprise-wide data standards. The fix for Covestro: Making full use of its PI System. Instead of a series of data islands built around local PI System servers, Covestro now has a single data hub that allows for easy collaboration, advanced analysis, and access to real-time, context-rich data across the company. With help from OSIsoft, a multidisciplinary team of engineers at Covestro built a flexible, accessible data hub from the ground up, first standardizing how data is captured and stored, then organizing it within a virtual model of the company’s physical assets, and finally using the newly accessible data to build powerful visualization and simulation tools. The system gives Covestro engineers easy access to a variety of advanced analytics, from diagnosing problems with common manufacturing processes to using machine learning tools to detect anomalies, to performing advanced forecasts and scenario testing.
    Year: 2019

    Toyota PI World customer story

    Imagine a world in which you could drive a car, knowing it will have zero CO2 impact throughout its entire lifecycle. The plant producing the car utilizes the least amount of energy possible, and the energy it does use comes from renewable sources. The car likewise runs on renewable energy until the end of its life, when it will be recycled, leaving the world with a zero-carbon footprint. This is the kind of world Toyota has been imagining. Recently, Toyota Motor Europe began relying on real-time operational data to enable energy management as part of a project called Toyota Environmental Challenge 2050. Toyota is using OSIsoft’s PI System to gather and process the data it needs to understand its energy usage so it can lead the automotive industry’s transition toward an environmentally sustainable future.
    Year: 2019