What is Manufacturing Analytics?
Manufacturing analytics is a technique that integrates big data, predictive analytics and industrial internet of things with the manufacturing processes to bring efficiency in the business operations. Manufacturing processes are successful when businesses can streamline their operations. This is where manufacturing analytics can help. Today manufacturers can leverage manufacturing data analytics techniques to examine, test and re-test every single process and implement innovative ideas to make improvements in the business operations. Manufacturing analytics can make manufacturing processes faster and more efficient by offering more focused and actionable insights that can help companies to fine-tune their production line.
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Benefits of Manufacturing Analytics
Manufacturers can maximize the operating time of critical assets by leveraging manufacturing analytics solution to anticipate their failure. By utilizing data analytics in manufacturing, businesses can gather historical data (structured and unstructured both) to gain in-depth insights into operations that can’t be assessed with conventional techniques. Using manufacturing data analytics, companies can identify the circumstances that tend to cause breakdown of a machine and monitor input parameters so they can intervene before breakage decreasing downtime. Furthermore, manufacturing analytics can help companies understand how downtime for a single machine can affect the manufacturing chain and how different configurations may improve overall efficiency.
Gain Better Insights into Machine Utilization and Effectiveness
One of the major challenges that manufacturers face is wastage of time. While manufacturing chains can be built with efficiency in mind, different factors may play a contributing role in reducing the overall efficiency of the line because of poor installation, misuse, or simply a lack of downtime coordination. By combining existing IoT systems with manufacturing analytics solutions, companies can gain real-time insights into how well their manufacturing lines are operating. Also, it can help in generating actionable insights to help companies realize real improvements in the overall process.
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Improve Demand Forecasts
Any product manufactured today aims to cater to the demands that will emerge in the near future. This is the reason why demand forecasts are important from a business perspective. Demand forecasts guide a production chain and help identify the reason between strong sales and an unused inventory. For most companies, forecasts are based on historic values and not on more actionable forward-looking data. By leveraging manufacturing analytics solution, manufacturers can combine existing data with predictive analytics to build a more precise projection of future purchasing trends.. These insights are derived not just from previous sales data but from how well current manufacturing processes are operating, leading to smarter risk management and less production waste.
Better Warehouse Management
Storage is generally the most overlooked aspect of the manufacturing process. Every stage is important when products are ready to be shipped especially in a world that is increasingly embracing zero-inventory models to reduce overstock scenarios. This is where warehouse management is important. Establishing an efficient warehouse management system can further improve product flow management, and improve business operations, as well as the bottom line. Manufacturing analytics framework makes it easier to understand how to improve your inventory and manage your warehouses better. This can, further, help in improving manufacturing KPIs and processes. By incorporating a robust manufacturing analytics solution companies can build a more granular understanding of how their production line operates, and how they can streamline it to avoid unnecessary costs.
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Manufacturing leaders today are visionaries, pioneering increasingly efficient methods to produce and move physical goods while thinking beyond cost savings, productivity, and risk reduction. Future survival needs manufacturers to become nimble and analytics-driven. This can help organizations minimize risk and seize opportunities through actionable operational insights and confident decision making. Manufacturing analytics solutions from Quantzig can help companies to fine-tune their production operations for minimal cost and risk while capitalizing on data as an asset that can further help them deliver innovative services and quality products. We, at Quantzig, deliver proven value and help leading companies unlock the immense potential of their digital transformation through our customized manufacturing analytics solutions.