Investigating the sustainable performance evaluation criteria based on stable balanced scorecard methods with fuzzy MCDM (Case study of detergent Industries)

Senior managers of organizations are always looking for a solution to ensure the selection and implementation of more appropriate strategies, among which the Sustainable Balanced Scorecard (SBSC) is a comprehensive performance control with a set of financial sets. And non-financial, it provides a comprehensive view of performance, such as the environment and social responsibility. The aim is to use a combination of models to identify key influential indicators and performance affectivity to evaluate detergents in stable balanced scorecard scores according to a set of indicators and determine the dependencies between them, by a group of decision-makers. Data analysis and analysis using integrated techniques to determine the degree of preference of functional components over each other, including the new approach of stable balanced scorecard and due to the multifaceted relationship between options and indicators of multi-criteria decision-making methods (DANP) are used. The advantage of this approach is the attention to the relatively complex interdependence of factors affecting performance. For the main dimensions and criteria for evaluating the sustainable performance of the studied industry, it was found that environmental and social factors are the most influential and the factors of internal and economic processes are the most influential, as well as economic criteria (0.239), internal processes (0.21), social (0.188), learning growth (0.183), and environmental (0.178) are important in the strategies of this industry, respectively.