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Sustainability performance predictions in supply chains: grey and rough set theoretical approaches

  • S.I.: MIM2019
  • Published:
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Abstract

It is crucial for any supply chains to measure and monitor the sustainability performance indicators across three dimensions such as; economic, environmental, and social, to achieving sustainable competitiveness. We formulate a periodic prediction model based on grey theory and rough set theory to evaluate and predict the sustainability performances of supply chains. Here, a grey theory based prediction model is used in the first stage to estimating the predictors of the firms’ sustainability indicators, based on their performances in the past. A second stage assessment involves the analysis of the same using a rough set based prediction method to validating the results. A case evaluation for assessing the practical implications of the proposed methodology is also elaborated in this research. From the study, managers are recommended to make use of these prediction models into their supply chains to predicting the sustainability performances of their supply chains and to improve their performance for future.

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Acknowledgements

The author sincerely thanks the Editor in Chief, Prof. Endre Boros, the special issue Editors, Prof. Erwin Pesch, Prof. Alexandre Dolgui, Prof. Dmitry Ivanov, and Prof. Tsan-Ming Choi and the four unknown reviewers for their insightful comments to improving the quality of the manuscript to a greater extent.

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  1. Management Division, ABV—Indian Institute of Information Technology and Management, Gwalior, 474015, India

    R. Rajesh

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Rajesh, R. Sustainability performance predictions in supply chains: grey and rough set theoretical approaches. Ann Oper Res 310, 171–200 (2022). https://doi.org/10.1007/s10479-020-03835-x

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