Insights Hub OEE for Manufacturing and Connected Shopfloors is part of Siemens Xcelerator portfolio. Insights Hub empowers industries to generate actionable insights from assets and operations data, driving manufacturing excellence by improving operational efficiency and quality. Insights Hub OEE is an easy-to-use industry solution to calculate Overall Equipment Effectiveness (OEE) as well as additional KPIs for lines and machines to better understand and continuously improve the underlying production processes. This solution provides the flexibility to adapt calculations to address company-specific OEE standards. Pre-built easy-to-use dashboards help customers to track the success of measures taken.

Insights Hub OEE offers the following capabilities:

• Calculate OEE, Mean-Time-To-Repair (MTTR), Mean-Time-Between-Failure (MTBF), and further relevant KPIs for machines and lines
• Use timeframe, product and order filters to compare, and perform analysis or queries on the OEE calculations
• Support of single and/or multiproduct production systems through the creation of different products with their underlying design speeds
• Extensive Reason Tree Modeling configuration capabilities. Users can choose from the preconfigured options to change recorded Downtime Reasons afterward
• Highly flexible customization of OEE formulas for OEE calculation
• Fast set up of production times, breaks, maintenance, etc. in calendars
• Pre-built easy to use dashboards give you an overview on all of your important OEE KPIs like Availability, Performance, Quality, Mean-Time-To-Repair and Mean-Time-Between-Failure for your machines and lines
• Get detailed insights on your downtime reasons to understand what levers you need to address first to get your production up again
• Combine your collected IoT and operational data with simulation software to get to the next level of insights leveraging closed loop digital twin capabilities

Along with Insights Hub OEE, you will receive:

• Dedicated Industrial IoT environment which provides you access to key industrial IoT capabilities in form of a Premium Capability Package
• 10,000 Asset Attributes to configure your industrial IoT data model. Asset Attributes represent the field variables to read and configure
• IIoT Data Package Medium

Insights Hub unleashes the full capability of Siemens Industrial IoT at scale. Transform your entire business, processes and products with deep, actionable insights into your enterprise. Discover the semantics of data on a large scale and, on top of that, enhance the production lifecycle, product maintenance and engineering with the fast set up of digital twins for connected products and shop floors. This is all built on top of a seamless integration of Industrial IoT into any enterprise ecosystem through a powerful Identity Provider Federation tool. This package comes with a production and operator environment, a development environment and two test environments.

For end users, the Premium capability package allows you to:

• take control of authentication and kick-start into Industrial IoT with Identity Provider federation
• use powerful Digital Twin applications for IoT enabled product diagnosis and design improvements or simulation backed production analytics and optimization - connect your downstream and upstream processes across product or factory lifecycle to simulate, predict and optimize the product and production systems
• benefit from advanced data contextualization by querying semantically contextualized data from multiple data sources.

For developers or solution providers, Premium capability package aligns to needs of mission critical use cases with selling capabilities, such as providing apps to others, publishing them in the Digital Exchanage Marketplace or multiple environments for testing of e.g. multitenancy:

• Build a simple IoT app or digital service which leverages advanced analytics capabilities
• Sell your app or digital service directly to your end customers
• Sell your app or in the global market via the Digital Exchange Marketplace at-scale