Manufacturing intelligence refers to the software systems that integrate your manufacturing operations data for deeper analysis and informed decision-making. Manufacturing intelligence combines real-time manufacturing product and process data from multiple sources into one repository. This end-to-end visibility can provide quality control at each point in the product development cycle and production process.
From this central data store, reporting, analysis, visual summaries, and data synchronization enables a quality transformation across the industry.
For manufacturing, production is everything. Every machine on the production line must be operating efficiently and manufacturing products to expected specifications.
The “New Normal” is a very frequent phrase we come across nowadays. A new normal is the new way of living and going about our lives, work, and interactions with other people in our circle and society in spite of the implications and precautions with the ongoing pandemic.
After enjoying decades of growth in various industries like Automotive, Paper, FMCG, Steel, the world is now finding itself in unchartered territory with the pandemic-induced crisis. Even in this highly uncertain environment, operations still need to run and crucial decisions still need to be made. One of the biggest concerns of the COVID-19 pandemic has been the workplace transition. Large-scale work from home (WFH) arrangements has led industries to rethink traditional work arrangements. The rapid adoption of remote collaboration by companies has opened a window of opportunity for accelerating workplace transformation and digitally-enabled environments in the manufacturing industry as well.
Industries have to take strict social distancing measures and other precautionary measures to ensure the health and well-being of people. Technology is playing a crucial role in keeping day-to-day activities going.
Predictive analytics can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These alert notifications allow for more informed, on-the-fly process changes, rapid change detection, and process control optimization without requiring periodic model tuning.
The advantages of manufacturing intelligence are
- Aggregation (Making available data from many sources.)
- Contextualization (Providing a structure, or model, for the data that will help users find what they need.)
- Analysis (Enabling users to analyze data across sources and especially across production sites.)
- Visualization (Providing tools to create visual summaries of the data to alert decision-makers and call attention to the most important information of the moment with the help of dashboard.)
- Circulation (Automation in the transfer of data from the plant floor up to enterprise-level systems.)
- Workers have access to this information in real-time so issues can be addressed as they occur wherever they might be.
- It also produces historical data to track past performance and outcomes and compare them to current or future needs.
Equipment embedded with sensors is becoming more commonplace on the factory floor. These sensors collect data from each piece of equipment and transmit that data to the cloud or software to be analyzed for feedback on the production process.
With cloud computing becoming a greater force, Manufacturers are turning to the cloud to create more intelligent factories with digital twins.
In recent years, remote monitoring has transformed the manufacturing industry, driving cost benefits, and creating new standards of efficiency that resonate from the factory floor to the customer’s door.
Infinite Uptime’s Industrial Data Enabler (IDE), a patented edge-computing Vibration monitoring system for predictive analytics and maintenance remotely gathers tri-axial vibrations, noise, and temperature of any mechanical rotating equipment in real-time. It empowers the Maintenance team to monitor the machine uptime, reduce unplanned downtime, and combat impending equipment damage in advance. Moreover, the end-to-end solution with visual indicators ensures maximum machine-availability, decreased inventory of spares and maintenance costs, and complies with the guidelines on safety and physical distancing directed by the Government. Not only does it help reduce maintenance fixed costs at a time where a reduction in costs and manpower is a dire need, but it also enhances social distancing by allowing remote monitoring of a plant without physical intervention.