One of the most important aspects of manufacturing is managing the flow of data. Manufacturers are constantly trying to improve the quality of products to meet the market demand and increase customer satisfaction. But the question here is – how do we enhance product quality with data analytics?
A chisel study indicates that 79% of companies that fail to embrace Big Data will lose their competitive position. (Ref.)
Even though companies generate a lot of data while manufacturing, with customer reviews, production process analysis and market news, it still has to be processed in a right manner to achieve the desired results.
We all know that right data is important for better customer satisfaction, so getting this right is the root to seeing increased profits. Investing in data analytics will give a competitive edge to companies to deliver best quality products and improve customer satisfaction.
Let’s dive in to understand the role of data analytics.
1. Data analytics for quality improvement: By processing the data generated from customer reviews and with past production data, data analytics helps in identifying the cause of defects and negative reviews. This gives a clear view of the problem areas and identifies the scope for quality improvement. Using ML and predictive analytics, companies can build models for early detection of defects and derail and proactive measures can be taken to dodge defects.
2. Statistical Process Control: It is the data analysis technique which collects data from various sources, statistically analyses the data, monitors the process to identify defects or derails, takes corrective actions if necessary and avoids errors. The basic use of statistical process control is to monitor and control and ensure that the production process works efficiently to meet predetermined quality standards. By implementing this process, companies can reduce waste, reduce defects, improve process efficiency and improve product quality.
3. Integration of ERP, SCM and MES: Integrating enterprise resource planning, supply chain management and manufacturing execution systems is like a one stop solution to all the manufacturing processes. By integrating these 3 major processes of manufacturing, it allows for a seamless exchange of data at various stages, enabling manufacturers make informed decisions to improve the product quality and effectively avoid repetitive mistakes. This also helps manufacturers by providing real-time production data to simultaneously improve product quality while still in production.
4. Tailored Production: In today’s fast paced world, customer taste and preferences are changing rapidly and customers need new products to match the trends and get uninterested using the old products quickly. With data analytics, companies can predict and adapt to the future trends and plan manufacturing accordingly to deliver better quality products. It helps in analysing individual customer needs and improves attention to details. This helps identify quality issues sooner. Continuous improvement with the help of customer feedback data collected from various sources helps in refining the product to meet the highest quality standard
As Clive Humby, a British mathematician and data science entrepreneur said “data is the new oil”. Now, it is not only about whether to adopt data analytics or not, it is about how soon we can adopt data analytics.
Ready to improve your product data? It might be vital to unlocking your full potential. Get in touch with our team today to understand how to use your data effectively to improve product quality. CRG Solutions is focused on delivering practical, innovative & cost effective services solutions that exceed expectations. Organizations everywhere, from non-profits to global enterprises and across all industries and departments, are finding opportunities in their businesses that they have never seen before. Learn more about how organizations like yours can work with CRG Solutions to drive your business forward.
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