sustainability assessment in concrete industry using stochastic data envelopment analysis

This research aims to develop a stochastic data envelopment analysis (sdea) model to assess the sustainability of active companies in the concrete industry in guilan province based on sustainability indicators. in the first step, economic, social, and environmental indicators for evaluating the companies were identified through the literature review. in the next step, these indicators were evaluated using the fuzzy delphi method, and more important indicators were identified. finally, a new stochastic dea model was developed for the sustainability assessment of concrete companies in guilan province in both linear and nonlinear equations. in the proposed models, errors are incorporated into the model via a stochastic component specified by considering the constraints probabilistically. based on the results of implementing the presented model, at an alpha level of 0.1, the companies darvishan and zahmatkesh, at an alpha level of 0.3, the companies darvishan, takht-e-jamshid, and zahmatkesh, and finally at an alpha level of 0.5, only the company darvishan are sustainable. so, the only sustainable, efficient company is darvishan, which should be considered a benchmark for other units for achieving sustainability efficiency.