Assessment of Lean, Agile, Resilient, and Green (LARG) Implementation in the Indonesian Electric Motorcycle Industry using Bayesian Best Worst Method
DOI:
https://doi.org/10.24425/mper.2025.157211Abstract
This study evaluates the implementation of the Lean, Agile, Resilient, and Green (LARG) approach in the electric motorcycle industry in Indonesia using the Bayesian Best Worst Method (BWM). The main focus of the study is to identify and determine the weight of the most relevant LARG indicators to improve the competitiveness and sustainability of the industry. From the analysis results, the Resilience indicator has the highest weight, while the Lean indicator has the lowest weight. Important sub-indicators identified include the ability to take corrective action when disruptions occur, waste management according to regulations, flexibility in collaboration with industry partners, and component quality testing. Recommended priority strategies include developing a standards-based safety system, consistent technology transfer, and provision of adequate infrastructure. The results of this study provide data-based strategic guidance to improve efficiency, flexibility, durability, and environmental sustainability in the electric automotive industry in Indonesia.References
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