Sparkflows | Manufacturing

Manufacturing Applications

Improving Manufacturing Process

Segment its manufacturing processes into clusters of activity. Using Big Data Analytics, the team assesses process interdependencies and identifies parameters that have a direct impact on medical yield. By modifying target processes the company is able to increase production resulting in savings.

Custom Product Design

Analyze the behavior of repeat customers. The outcome is critical to understanding how to deliver goods quickly and profitably. Much of the analyses center on making sure strong contracts are in place. The company is also able to determine which products are viable and which ones need to be scrapped.

Better Quality Assurance

Using Big Data for predictive analytics the Industry significantly reduces the number of tests required for quality assurance. Starting at the wafer level, it analyzes data from the manufacturing process to cut down test time and focus on specific tests. The result is a huge saving in manufacturing costs.

Managing Supply Chain Risk

Manufacturers use Big Data to reduce risk in the delivery of raw materials, no matter what happens in the supply chain. Using Big Data analytics, the company overlays potential delays on a map, analyzing weather statistics for Tornadoes, Earthquakes, Hurricanes, etc. Predictive analytics allow the company to calculate the probabilities of delays. The company uses the analytics findings to identify backup suppliers and develop contingency plans to make sure production isn’t interrupted by natural disasters.