Manufacturing Intelligence (MI), or Enterprise Manufacturing Intelligence (EMI) is a software system that integrates various sources of operational data for the purpose of reporting, deeper analytics, visual summaries as well as the sharing of data between enterprise-level and plant-floor systems.
Fremont, CA: With the increasing pace of businesses, there is a bigger need for companies to monitor plant floor activity across the company to make more informed decisions. Complex supply chains, distributed operations and data captured in different formats can make it difficult to gain access to such important operational intelligence. What is the befitting solution that can help leverage enormous amounts of information to understand trends and analyze production that supports smarter decisions at the organizational level?
The Definition of Manufacturing Intelligence
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Manufacturing Intelligence (MI), or Enterprise Manufacturing Intelligence (EMI) is a software system that integrates various sources of operational data for the purpose of reporting, deeper analytics, visual summaries as well as the sharing of data between enterprise-level and plant-floor systems. While some may think MI and Business Intelligence (BI) are the same, there is a difference. BI traditionally measures sales, revenue, and other KPIs which are corporate in nature. Manufacturing Intelligence, on the other hand, measures both human and machine productivity on the factory floor. When MI is plugged into BI, it offers more value to the enterprise.
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MI systems depend on Big Data analytics compiled from the Industrial Internet of Things (IIoT) and other manufacturing and business planning systems, including quality management systems, planning and scheduling systems, Manufacturing Execution Systems (MES), Enterprise Resource Management (ERP) systems and others. MI systems integrate, connect, and unify these data sources into a single, accessible analytical model, providing the analyst the ability to explore and drill down the data for contextualized results based on the user's role and point of interest.
Data analytics allows MI to monitor the factory's entire infrastructure, helping users to understand which machines are not producing to specifications and increase overall resource effectiveness and efficiency. Workers have real-time access to this information, so issues can be resolved as they arise. MI also produces historical data in order to track past performance and outcomes and to compare them to current and future needs. At the enterprise level, MI systems can be utilized to benchmark as well as compare production runs or to predict different plant operations.
Key Benefits of Manufacturing Intelligence (MI) System
• Enhance overall production performance
• Make better, more informed business decisions
• Establish benchmarking for continuous improvement
• Establish best practices
• Support lean initiatives
• Faster response to changes
Manufacturing Intelligence systems are playing a vital role in making mission-critical decisions within today's manufacturing organization. Engineers have both the knowledge and experience required to deploy standard and personalized MI solutions to help business stakeholders make informed and evidence-driven decisions.
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