Ing. Vigneshkumar Sakthivel

Topic: Prediction of lead time in a multi-variant final assembly using data analytics • Identification of potential influencing factors and relevant data based on lead time • Data integration from different data sources (MES) and data screening • Prediction of short-term loadings from collected data • Conception of a model for predicting the throughput time under different loading strategies in the optimal mix with the customer orders • Implementation and validation of the module

Roles and Responsibilities: • Assistance with layout planning regarding the plant layout 2020 • Value stream analysis for new process • Capacity analysis and planning • Implementation of new logistic concepts • Maintaining manufacturing key figures Key achievements: • Overall Equipment Efficiency increased by 6% • Developed automatic calibration system in noise testing machine • Designed flexible kitting cart for machine assembly • Improved 5S in Production cell and logistic area

• Daily Production Planning • Analyze production loss through gap analysis • Visual system & maintaining 5s • Driving QCC, CFT projects • Customer complaint monitoring & action plan preparation • Poka-Yoke implementation • Cycle time calculation , Bottleneck elimination, Productivity Improvement • Single piece flow implementation • Lay out modification • Cycle time reduction through implementation of Kaizens • Line balancing • Assembly and hand tools management