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This powertain machining and assembly facility produces four speed and six speed transmissions for vehicles in production throughout North America.
The launch manager was identifying open issues as his team was preparing for a final ramp up in production. One of the concerns that needed to be addressed was the issue of the material handling system.
Specifically, what would be the impact of a fully ramped up production schedule to the self guided vehicles? (SGV’s) Did they currently have enough SGV’s, and if not, what improvements could be made to the production or material delivery system to make it so?
Neuronics measured the current performance of the SGV’s under the current production volume, routing rules and delivery logic to create a baseline and use in the creation of a capacity model. Utilizing actual production volumes, measured process times, delay times and downtimes, Neuronics created a capacity model that predicted the customer was dangerously close to being over utilized for the proposed ramp up in daily production volume.
Neuronics itemized the major factors contributing to delay, downtime and other general inefficiencies of the material handling system and coupled them with actionable improvement initiatives. Most of the improvement ideas required little or no capital investment, but led to a cumulative improvement in effciency of more than 25%.
Engineering Services
Established in 2015, Neuronics has emerged as a leading force in engineering software development and testing, catering to the dynamic needs of emerging markets. With our extensive expertise in predictive maintenance, electric powertrain, automation, and artificial intelligence, we offer comprehensive solutions that transcend industry boundaries. Our mission is to empower individuals worldwide by leveraging cutting-edge technologies and driving innovation across all sectors. Partner with Neuronics and unlock the potential for transformative growth on a global scale.