An industrial safety manufacturer was facing low-efficiency issues. Their continuous improvement efforts were hindered by traditional ways of conducting time and motion studies. The manufacturer recognized the need to optimize their production processes to reduce waste, enhance overall efficiency, and maintain their competitive edge.
The company relied on manual methods of time and motion studies for enhancing production efficiency, including Excel spreadsheets for line balancing. This led to extensive manual efforts and required skilled engineers to perform the job. Since there was no dynamic video-based data collection, it was quite difficult to accurately identify inefficiencies in their processes. They needed a solution to streamline their data-collection process along with data-driven insights without disrupting their existing workflow.
The manufacturer implemented Kaizen Copilot to integrate smart manufacturing into their system. The solution was simple to implement, requiring only smartphone videos of the process to be uploaded to the platform. Unlike traditional time study methods that relied on stopwatches and manual observation, Kaizen Copilot uses advanced AI and computer vision to analyze the process and generate data-driven insights.
The system analyzes the video data to provide detailed graphical insights, breaking down each process step into value-added, non-value-added, and necessary non-value-added time. Through these advanced analytics, the system helped identify process waste and recommend improvements to make. The streamlined implementation process caused minimal disruption to operations. With Kaizen Copilot successfully implemented, the manufacturer was ready to achieve significant improvements in their production process efficiency.
The deployment of Kaizen Copilot delivered immediate impact. The system identified 43% process waste on a particular line. By eliminating 20% of this waste, they achieved a 5% increase in yield within just two days. The facility also reduced headcount by one operator while maintaining productivity.
A leading safety equipment manufacturer recognized the importance of efficient process analysis, and prioritized production efficiency to maintain competitiveness in workplace safety solutions.
Industrial Safety Manufacturing
Using Kaizen Copilot, the manufacturer optimized production and reduced waste through automated time studies and line balancing.
Brandin and his team help our customers with setting up the Pathfinder platform and getting up-to-speed on all the features and functionalities, in addition to assisting them with standardizing their processes where needed.
Brandin is a seasoned manufacturing leader, who has spent more than a decade designing and setting up assembly lines in both the US and China, optimizing them, and working with human operators to maximize productivity and quality.
Jesse works closely with our marquis customers to understand their needs, and figures out the best solution that immediately adds dollars to their bottom line.
Jesse has two decades of enterprise sales experience. He has held sales leadership roles at pioneering technology startups.
Andrey takes inventions and converts them into innovations. He leads our product engineering team to turn our scientific prototypes into robust customer-facing products.
Andrey co-founded and successfully exited a startup to immigrate to the US. He spent his next eight years building the core data science infrastructure for Amazon’s supply chain planning team, and the CV/ML infrastructure for Microsoft’s HoloLens organization.
Zeeshan focuses on delighting our customers by understanding their needs and defining product and strategy to meet and exceed these needs. He works closely with our sales leadership to grow our customer base.
Zeeshan was a scientific leader at Microsoft’s HoloLens division, where he invented AI technologies to assist frontline workers across industries. Earlier, he shipped IoT platforms and visual defect detection software for manufacturers at Siemens and MVTec GmbH.
Huy takes our product roadmap and figures out what’s achievable with today’s AI advances, and what we need to invent to solve our customers’ pain points.
Huy led teams of scientists and engineers at NEC and invented technologies for driver assistance systems that are part of 500,000+ Honda cars. He is an inventor on more than 20 US patents, and his research papers are cited by every lab from MIT, Stanford, and CMU to Apple, Google, and Baidu.
