Advanced Analytics

Embrace Manufacturing Analytics to Improve Production Quality

Successful manufacturing organizations often depend on finding new ways to streamline their operations. With the arrival of the Industrial Internet of Things (IIoT), many manufacturers have begun to use analytics to make informed decisions and enable automation across the company. So, how does data analytics help manufacturing companies improve their production quality? In this article at RT Insights, Aniket Sharma explains how manufacturing analytics will transform the industry.

Can Manufacturing Analytics Boost Production Quality?

Data analytics in a manufacturing unit helps boost production quality, increase performance, reduce costs, and optimize supply chains. In addition, enterprises can identify issues such as predicting a machine defect while saving time and money to maintain the business’s effectiveness and efficiency.

How Is Data Analytics Transforming the Manufacturing Industry?

Production Quality Analytics

Supplying high-quality products and services defines the manufacturing industry’s success. With data analytics, leaders can speed up the quality check process. Furthermore, analytics around production quality enables operators to suggest actions for troubleshooting and resolving issues.

Productivity Analytics

Manufacturing analytics helps business leaders ensure facilities run as smoothly as possible. It allows businesses to avoid unplanned machine downtime, poor resource allocation, and inefficient machine use. Analytics tools such as inventory and demand forecasting, simulation, and optimization enable businesses to run their facilities at maximum capacity.

Predictive Maintenance

This technique allows operations to go beyond static maintenance schedules. The data gauges a machine’s health and predict when it may need upkeep. Manufacturing units often employ periodic maintenance schedules. However, they do not report variances in machine health deterioration. Machine sensor data combined with statistical and artificial intelligence methods predicts the probability of machine breakdown. Thus, it helps prevent failures, minimize interruptions, and maximize plant productivity.

Data-driven manufacturing is now a necessity to transform processes. Adopting digital transformation in the manufacturing sector demands changes in mindset and work execution from all employees—top leadership, managers, process engineers, and shop-floor operators. To read the original article, click on

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