SCW.AI Digital Factory

We understand that maintaining the efficiency and productivity of your organization while managing the biggest cost factor, i.e., the workforce, can be a challenging task. But what if there was a tool that could assist you in maintaining the harmony of your labor force while maximizing the efficiency of your production process? 

Explore Our Next Generation Pharma Digital Factory Platform and its Solutions

We understand that managing target speeds can be challenging and prone to errors. This new advanced analytics-based feature will help you keep the master data accurate, thus ensuring a good reference point for an effective performance measurement which is key for productivity.

Are you tired of manual production scheduling causing setbacks in your production process? A planning error, for instance, may result in delays in the production process and this error is usually a result of manual scheduling as assignment of work orders to the lines and the staff is a complex challenge that requires full attention to different variables every day. 

We know that comprehensive grasp of your operations is crucial for informed decision-making and improved efficiency.

Our new Global View feature for OEE Tracker presents the ultimate solution to gain comprehensive oversight and ensure real-time visibility across all your factories worldwide.

As businesses aim for continuous improvement and efficiency, it’s essential to identify and address the root causes of problems rather than just treating the symptoms. Our new Root Cause Analysis feature presents the ultimate solution for identifying and addressing Availability issues in your production process! It provides structured data to categorize downtime causes, empowering you to make data-driven decisions and prevent runtime losses. 

It's beyond doubt: Collecting manufacturing data is crucial for gaining insights, optimizing processes, and making informed decisions to boost productivity and efficiency in the manufacturing industry. However, the methods employed for data collection can vary. Historically:-We started with the basics, using pen and paper.
-Then we upgraded to whiteboards. However, we faced challenges in analyzing specific data.
-We imported data into a business intelligence (BI) tool allowed for more advanced analysis.
-Now, we feel the urge to digitize data entry in order to streamline the process using data science and Artificial Intelligence.

Welcome to the era of the digital factory! Now, thanks to the IoT, we are able to collect the desired shop-floor data much faster and more accurately, while nullifying possible negligent occurrences by the employees.