TY - JOUR
T1 - A chance-constrained data envelopment analysis approach for strategy selection
AU - Farzipoor Saen, Reza
AU - Azadi, Majid
N1 - Publisher Copyright:
© 2011, © Emerald Group Publishing Limited.
PY - 2011/1/1
Y1 - 2011/1/1
N2 - PurposeTo select the best strategies in the presence of both deterministic and non-deterministic data in uncertain environments, without relying on weight assignment by decision makers, this paper aims to propose an innovative approach, which is based on mathematical programming called chance-constrained data envelopment analysis (CCDEA). Design/methodology/approachThis paper proposes an innovative approach called CCDEA for strategy selection. FindingsIn summary, the approach presented in this paper has some distinctive contributions: the proposed model does not demand weights from maker; DEA analysis obtains the optimal weights for all inputs and outputs of each decision-making unit without relying on the subjective judgment of decision makers; the proposed model considers multiple criteria for strategy selection; the paper makes a sufficient contribution to the practice of operations research. This paper is the first study which applies CCDEA for evaluating the strategies in uncertain environments; and the paper introduces a method for strategy selection in the presence of stochastic data. Originality/valueTo the best of the authors' knowledge, this paper is the first application of CCDEA to deal with strategy selection.
AB - PurposeTo select the best strategies in the presence of both deterministic and non-deterministic data in uncertain environments, without relying on weight assignment by decision makers, this paper aims to propose an innovative approach, which is based on mathematical programming called chance-constrained data envelopment analysis (CCDEA). Design/methodology/approachThis paper proposes an innovative approach called CCDEA for strategy selection. FindingsIn summary, the approach presented in this paper has some distinctive contributions: the proposed model does not demand weights from maker; DEA analysis obtains the optimal weights for all inputs and outputs of each decision-making unit without relying on the subjective judgment of decision makers; the proposed model considers multiple criteria for strategy selection; the paper makes a sufficient contribution to the practice of operations research. This paper is the first study which applies CCDEA for evaluating the strategies in uncertain environments; and the paper introduces a method for strategy selection in the presence of stochastic data. Originality/valueTo the best of the authors' knowledge, this paper is the first application of CCDEA to deal with strategy selection.
KW - Chance-constrained data envelopment analysis
KW - Data analysis
KW - Mathematical programming
KW - PERT/CPM
KW - Strategy selection
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U2 - 10.1108/17465661111149584
DO - 10.1108/17465661111149584
M3 - Article
AN - SCOPUS:84866173988
SN - 1746-5664
VL - 6
SP - 200
EP - 214
JO - Journal of Modelling in Management
JF - Journal of Modelling in Management
IS - 2
ER -