Epicor Connected Process Control offers an intuitive software solution designed to create and manage digital work instructions while maintaining strict process control, effectively minimizing the chances of errors in operations. By integrating IoT devices, it captures comprehensive time studies and detailed process data, including images, at the task level, providing unprecedented real-time visibility and quality oversight. The eFlex system is versatile enough to accommodate countless product variations and thousands of components, catering to both component-based and model-based manufacturers alike. Furthermore, work instructions seamlessly connect to the Bill of Materials, guaranteeing that products are assembled correctly every time, even when modifications occur during production. This advanced system intelligently adapts to variations in models and components, ensuring that only the relevant work instructions for the current build at the station are presented, enhancing efficiency and accuracy throughout the manufacturing process. In this way, Epicor empowers manufacturers to maintain high standards of quality control while adapting to the dynamic nature of production demands.
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Evocon is a cloud-based solution designed for monitoring production, assisting manufacturing firms in enhancing their operational efficiency.
By automating and digitizing the process of gathering data from production machines, Evocon ensures that this information is seamlessly transferred to the cloud, allowing manufacturers to access it in real-time, whether they are on-site or working remotely. Furthermore, the platform visualizes this data in a user-friendly manner, making it actionable for users. This capability enables manufacturers to monitor downtime, minimize costs, and optimize their production equipment usage effectively. Additionally, it provides a foundation for informed decision-making, highlighting where to allocate resources and identifying which areas require the most focus for improvement.
Through enhanced transparency, Evocon empowers organizations to chart a course based on their data insights. With over a decade of expertise in production monitoring, Evocon has been adopted in more than 50 countries and spans 14 diverse industries, all while offering support in 18 languages to cater to a global audience. This extensive reach underscores the platform's adaptability and effectiveness in various manufacturing environments.
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MachineMetrics
The MachineMetrics Industrial IoT Platform converts your shop floor information into actionable insights through robust applications designed to minimize machine downtime, enhance throughput, and optimize profitability based on your manufacturing machinery's performance. By leveraging this technology, businesses can make informed decisions that drive efficiency and improve overall operational effectiveness.
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Intouch Monitoring
Our data acquisition system for manufacturing provides a versatile and budget-friendly option that emphasizes ease of use, integrates smoothly with ERP platforms, and interfaces seamlessly with both modern and older machines, while also ensuring exceptional customer support. By connecting the shop floor to management in real-time, it guarantees that accurate and live production data is readily available throughout your facility. This system enables quick and proactive responses to alerts related to downtime, process parameters, cycle speeds, and other irregularities. Users can foresee potential production bottlenecks, promptly adapt to changes in production schedules, and effectively handle tool changes or delayed orders through our user-friendly drag-and-drop scheduling interface. Moreover, the tailored business intelligence reports and dashboards equip users to make informed decisions, improving production efficiency, streamlining processes, sustaining product quality, and strategically managing Capital Expenditure priorities. Furthermore, with these advanced features, manufacturers can not only meet industry requirements but also elevate their overall operational effectiveness and adapt to future challenges.
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