An Application of the Super-SBM MAX and LTS(A,A,A) Models to Analyze the Business Performance of Hydropower Suppliers in Vietnam

As Vietnam continues to industrialize and modernize, such economic development high-tech will require a major electrical energy source operate the equipment; hence, hydropower plants are established growing up demand. Therefore, purpose of this study is evaluate business performance Vietnamese suppliers by integrating LTS(A,A,A) model Additive Holt-winters method in Tableau super-slacks-based measure (super-SBM) max data envelopment analysis (DEA). The applied forecast future valuation from 2022 2025 based on historical time series 2012 2021. Next, with actual predicted data, researcher uses super-SBM calculate these past future. empirical result reveals efficient inefficient cases explore which can achieve their operational process. position determined particularly scores every year. Further, recommends solution deal deducting input excesses raising output shortages principle Max DEA. finding results create an overview process continuing variations each period equip determine orientation.