Traditional OEE often masks micro-level inefficiencies that accumulate into major production losses. Micro OEE (mOEE) measures efficiency at the smallest production steps, enabling precise ...

This project focuses on analyzing consumer shopping behavior to help a retail company enhance sales, customer satisfaction, and loyalty. Using Python, the data was cleaned and processed before being ...

Every factory owner wants to know how effectively their equipment is producing high-quality products, as quickly as possible, with minimal downtime or waste. It’s common to have between 60% and 70% ...

Creating more value with fewer resources—extending product life and reducing waste—is central to the circular economy. The EU has set its sights on carbon neutrality by 2050. The big question for ...

availability = st.sidebar.slider(f"{machine} - Availability", 0.0, 1.0, 0.9, 0.01) performance = st.sidebar.slider(f"{machine} - Performance", 0.0, 1.0, 0.95, 0.01 ...

In spiral applications, overall equipment effectiveness (OEE) is important for not only cost savings but increasing throughput and limiting unplanned downtime. It can be overwhelming to know where to ...

Increased the number and seniority of people in the business engaging with operational efficiency information. Streamlined meeting structures and ability to focus on what matters. Reduced data ...

Abstract: This brief presents a framework that delivers a certification-oriented dashboard of admissible nonlinear model predictive control (NMPC) implementation settings. This differs from the ...

Modern metal fabrication is full of “islands”—islands of lean, islands of automation, islands of digitalization. A new laser or press brake might integrate well into an Industrial Internet of Things ...