Measuring paper industry's ecological performance in an imprecise and vague scenario: a fuzzy DEA-based analytical framework
Benchmarking: An International Journal
ISSN: 1463-5771
Article publication date: 11 November 2021
Issue publication date: 2 September 2022
Abstract
Purpose
Productivity improvement is key to sustainability performance improvements of organizations. In a real-world scenario, the nature of inputs and outputs is likely to be imprecise and vague, leading to complexity in comparing firms' efficiency measurements. Implementation of fuzzy-logic based measurement systems is a method for dealing with such cases. This paper presents a fuzzy weight objective function to solve Data Envelopment Analysis (DEA) CCR model for measuring paper mills' performance in India for 15 years.
Design/methodology/approach
An integrated methodology is proposed to solve DEA models having fuzzy weights. The fuzzy DEA methodology is an extended version of the DEA approach that researchers have used for performance measurement purposes in imprecise and vague scenarios. The ecological performance of the paper industry is evaluated, considering some desirable and undesirable outputs. The effect of non-discretionary input on the performance of a paper mill is also analyzed.
Findings
Analysis suggests that the productivity of the paper industry is improving consistently throughout the period. The comparative evaluation of methods suggests that a diverse cluster of DMUs and integration of DEA with the fuzzy logic increases the diversity in the efficiency score while DEA-DE imitates the results of CCR DEA.
Originality/value
Proposed a fuzzy DEA-based analytical framework for measuring the paper industry's ecological performance in an imprecise and vague scenario. The model is tested on data from the paper industry in a developing country context and comparative performance analysis using DEA, fuzzy DEA and DE algorithm is done.
Keywords
Acknowledgements
The authors would like to thank the editor and the anonymous reviewers for their constructive comments which improved the quality of this paper significantly. Additionally, the authors wish to express their gratitude to the management of the Satia paper mill for providing the necessary data for this study.
Citation
Jauhar, S.K., Singh, N., Rajeev, A. and Pant, M. (2022), "Measuring paper industry's ecological performance in an imprecise and vague scenario: a fuzzy DEA-based analytical framework", Benchmarking: An International Journal, Vol. 29 No. 8, pp. 2471-2494. https://doi.org/10.1108/BIJ-06-2021-0319
Publisher
:Emerald Publishing Limited
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