DATA INSIGHT

ON-DEMAND WEBINAR

Problem Solving with Design of Experiments: Navigating Complex Challenges in R&D and Manufacturing

For industrial R&D and manufacturing, design of experiments (DOE) is an impressive statistical tool for considering multiple factors at a time. DOE empowers scientists and engineers to uncover optimal solutions by thoroughly investigating the capabilities of their processes. It serves as a dynamic learning tool, enabling you to capture and understand complex behaviors.

Attendees will discover a range of beneficial outcomes that can be applied across various industries:

  • Enhance efficiencies.  Achieve quicker resolutions and gain a comprehensive understanding at the system level.
  • Establish a solid basis for future investigations.  Develop a robust framework that supports experimental advancements.
  • Achieve faster and greater returns on investment.  Reap financial benefits while reducing time and costs.

We invite you to our 30-minute webinar, where we will introduce you to the fundamentals of design of experiments. Discover how this innovative statistical method can help scientists and engineers in the process industries streamline and improve their operations, thereby leading to significant savings of both time and cost.

About the Presenter

Marco Salfi, Senior Systems Engineer

Marco Salfi joined JMP Statistical Discovery as Senior Systems Engineer after a long experience in the Oil and Gas Industry. He held various roles in ExxonMobil in 3 different countries (Italy, Belgium, US) within Manufacturing and Supply Chain and he has always been oriented to take decisions based on data. Marco holds a Master’s Degree in Energy Engineering from “Politecnico di Milano”, Italy

headline
Register now for this free webinar.
region
na1
portalId
20721161
formId
a37d7b71-8b61-4236-b471-1ab4dd44ce6e
leadSource
Webcast (On-Demand)
lastAction
Webcast (On-Demand)
salesforceCampaignId
7015b000003D5htAAC
redirectTarget
/en/resources/on-demand/data-insight/problem-solving-with-design-of-experiments/watch