Topsis based Ranking of Lean Six Sigma Barriers to Electric Vehicle Assembly

In today's immensely competitive atmosphere, an effective Electric Vehicle (EV) assembly process is crucial for the success of the automobile industry. The present study aims to provide a novel approach by integrating real-time data analytics to identify and rank the barriers. Through an exhaustive literature survey, four main barriers affecting the assembly process were identified: transportation and handling, assembly line processing, EV assembly integration, and human resources and training. To enhance the evaluation and ranking process, this paper proposes a methodology using the Technique for Order Preference by Similarity to Ideal Solution method (TOPSIS). By incorporating real-time data, this approach offers a more accurate and dynamic assessment of the barriers. The findings of this study provide important insights for decision-makers in the automobile industry to prioritize improvement efforts and allocate resources effectively towards overcoming the identified barriers for successful EV assembly.