Evaluating two-stage holistic production systems using novel CSDEA approach
Abstract
Purpose
The purpose of this paper is to apply data envelopment analysis (DEA) techniques to the collective decision-making environment to appraise two-stage production process under different decision preferences.
Design/methodology/approach
The authors propose a novel multi-criteria group decision-making approach that uses consensus-strategic data envelopment analysis (CSDEA) to appraise two-stage production process under two different decision strategies, which are efficiency- and fairness-based group decision preferences.
Findings
The authors find that the proposed CSDEA model evaluates the performance of the decision-making units (DMUs) not by diminishing other competitors but rather based on group interests of the entire decision set.
Originality/value
The authors extend Li’s two-stage model to cases that consider both intermediate inputs and outputs. The authors address the issue of incorporating collective managerial strategy into multi-criteria group decision-making and propose a novel CSDEA model that considers not only the individual-level performance of a DMU but also the group-level or collective decision strategies.
Keywords
Acknowledgements
The authors would like to thank National Natural Science Foundation of China (Nos. 71631006) and the China Postdoctoral Science Foundation (Nos. 2016M602040) for their financial support.
Citation
Zhai, D., Jin, M., Shang, J. and Ji, C. (2018), "Evaluating two-stage holistic production systems using novel CSDEA approach", Journal of Modelling in Management, Vol. 13 No. 1, pp. 101-118. https://doi.org/10.1108/JM2-07-2016-0067
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited