In manufacturing, process consistency is key. But consistency can be elusive— after all, variables that cause variation can be endless. Unfortunately, variation inevitably leads to defects. That’s why the right monitoring system matters.

Manufacturers can prevent backorders and keep their inventory on track by predicting customer demand, otherwise known as using predictive analytics.

Statistical quality software undoubtedly helps manufacturers boost productivity, improve decision-making, and become more engaged with their data. But to fully realize the benefits, they must embrace staff training.

When a process is constantly monitored and organized, manufacturers can guarantee optimal processes.

Making a process map presentation-worthy is less about picking a trendy color and more about empathizing with your audience. Learn how to use the design elements in Minitab Workspace to your advantage when creating a process map.

We understand that spreadsheets simply won't cut it anymore. Continuous improvement teams need to track and report on things beyond what project managers or technical leaders do. Learn how to get a dashboard view into projects and get the reports and insight needed to make CI a reality.

Takeda has had a longstanding relationship with Minitab and has used analysis to, identify and execute on improvement opportunities.

We are pleased to announce the release of three new add-on modules to improve your ability to visualize, analyze, and harness the power of your data. Minitab’s new modules will help companies make key decisions and improve analytical capability, backed by the power of Minitab Statistical Software. 

Artificial intelligence and predictive modeling still require a human element: Especially staff to capture data, manage insights, deploy the software, guarantee production quality and more.

Manufacturers can unearth valuable insights from test data from various sources by employing statistical algorithms and machine learning to establish patterns and predict future outcomes and trends.