Data Models & ML in Manufacturing Excellence

Market research shows that global manufacturing is poised to grow at 5% CAGR whereas smart manufacturing is expected to surge around 15% between the period 2023-2032 with APAC, North America, and European regions leading the growth. Industry analysis points out that the manufactured products end up in the following segments: Electrification, Electronics, Automotive, Construction, Energy, Aerospace, Industrial, Chemical, and Healthcare where the end customers’ focus on product quality is of paramount importance. (Precedence Research, 2023). Additionally, most of these industries themselves envisage their operations over the long run through the transformative lens of digital transformation solutions and offerings like the cloud, big data, additive manufacturing, and artificial intelligence systems where the underlying tenet is to exploit data obtained through processes, systems, and sensors and to process in structured and meaningful ways to deliver maximum business value in the form of product quality and consequently customer delight. (Deloitte, 2023)

Let us look at one example illustration of each where such deployment is made to enhance product quality

Data Models

Using Dashboards for Product Root Cause Analysis and KPI Monitoring

Using Data Models for descriptive and diagnostic analytics for product quality is important in understanding how the process behaves under different times,…