This is Part 2 of our 5-part blog series based on the IoT World Today white paper, “Digital Manufacturing and the IIoT: Success with a Single Platform.”
Part 2: Confronting Data Challenges
In key use cases, companies are employing digital solutions at scale to address operational pain points, create competitive advantage and drive bottom line impact. In many instances, IIoT deployments enable the management of remote assets in heavy industries (oil & gas, chemical, etc.). For example, companies are increasingly using predictive maintenance (PM) to monitor and optimize equipment as needed while also achieving a robust ROI.
To be sure, the true value of an effective IIoT deployment is realized through actionable insights derived from collected sensor data. Yet organizations still face obstacles that prevent them from using that data effectively. By any measure, the inability to digitize data in today’s competitive digital marketplace can have severe repercussions.
Excel spreadsheets and proprietary CAD specs shared via email lack the speed, granularity, and scale necessary to meet the constantly evolving demands of modern manufacturing.
In the current era of digital design, on-demand manufacturing, and responsive customer service, organizations must drive the flow of relevant data to the right decision makers in real time. For example, the urgency around product recalls demands swift value chain collaborations and fast resolutions. Depending on the severity of issues, different coordinations are required to make the necessary data available. And how companies manage their information today—from data duplication and sorting to cleansing and dissemination—is critical.
To ensure that the right information is used for collaborations across every segment of a manufacturing company, IIoT data needs to be contextualized and relatable. That is, whether the information is derived from design, QA, manufacturing support or production schemas, it must be accurate and able to be immediately consumed by the appropriate stakeholder.
The inefficiencies that manufacturers are confronting today are due in part to
the reliance on multiple, technologies and systems that lack a coherent, unifying connection. By contrast, a comprehensive, unified platform offers a closed-loop system in which all the constituents across an organization’s internal value chain and supply chain can collaborate, coordinate, and work hand-in-hand using real- time, accurate data.
In addition to boosting asset performance and operations, improving supply chain efficiency, and enhancing customer support, IIoT deployments can open up additional revenue opportunities through new product and service offerings.
An effective IIoT platform-centered strategy creates new opportunities at every manufacturing level. Moreover, a unified IIoT platform is more than just software architecture and wireless connectivity. Effective use of IIoT deployments can help define business processes, workflow and coordination, data management, and product integrity and performance.
In the next installment, we will go beyond connectivity and explore how to achieve success with IIoT.
Part 2: Confronting Data Challenges
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