Fuzzy preference programming formulation in data envelopment analysis for university department evaluation

Mirasol-Cavero, Dyanne Brendalyn; Ocampo, Lanndon

doi:10.1108/jm2-08-2020-0205

Cited by 4 publications

(2 citation statements)

References 110 publications

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“…The results indicate that uncertainty can lead to changes in performance scores, rankings and classifications. Mirasol-Cavero and Ocampo (2021) presented a fuzzy DEA model to measure the efficiency of universities. In the proposed model, the inputs are considered crisp, and the outputs are considered fuzzy to solve the problem of vagueness and inaccuracy of the data.…”

Section: Literature Reviewmentioning

confidence: 99%

A dynamic multi-stage network data envelopment analysis approach for evaluating performance of wheat farms

Rajaei Qazlue,

Mehrabian,

Khalili-Damghani

et al. 2023

JM2

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Purpose Because of the importance of the wheat industry in the economy, a real-featured performance measurement approach is essential for the wheat production process. The purpose of this paper is to develop a data envelopment analysis (DEA) model that is fully compatible with the wheat production process so that managers and farmers can use it to evaluate the efficiency of wheat farms for strategic decisions. Design/methodology/approach A dynamic multi-stage network DEA model is developed to evaluate the efficiency of wheat production farms in short-term (two-year) and long-term (eight-year) periods. Findings The results of this study show that because of the lack of long-term planning and excessive reliance on rain, most of the investigated regions have no stability in efficiency, and the efficiency of the regions changes in a zigzag manner over time. Among studied regions, only the Hashtrood region has high and stable efficiency, and other regions can follow the example of this region's cultivation method. Originality/value To the best of the authors’ knowledge, this study is the first one that uses the dynamic multi-stage network DEA considering every other year cultivation method and direct–indirect inputs in the agricultural section.

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Section: Literature Reviewmentioning

confidence: 99%

A dynamic multi-stage network data envelopment analysis approach for evaluating performance of wheat farms

Rajaei Qazlue,

Mehrabian,

Khalili-Damghani

et al. 2023

JM2

View full text Add to dashboard Cite

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“…Contreras (2020) proposed a systematic revision of the existing literature regarding the procedures to determine a common set of weights in the DEA context. A fuzzy preference programming – DEA (FPP-DEA) was employed to handle missing, unavailable and imprecise data for output values, where the outputs are expressed as fuzzy numbers and the inputs are conveyed in their actual crisp values (Mirasol-Cavero and Ocampo, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Manager perceptions of decision-making for evaluation indicators: a centralized data envelopment analysis based approach

Abedian

Amindoust

Maddahi

et al. 2022

JM2

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Purpose This paper aims to propose an integrated centralized data envelopment analysis (CDEA)-balanced scorecard (BSC) model to provide a selective approach to determine the most efficient indicators for evaluating the four perspectives of the BSC. Design/methodology/approach An integer linear programming model based on the efficiency concept of the CDEA method is presented to select the best indicators for evaluating four perspectives of the BSC. The basis for selecting indicators in this method is to maximize the overall performance of each BSC perspective. The modeling is performed on a real case. The considered model is solved using a general algebraic modeling system software for the data set of the real case. Findings A real-world case is solved using the proposed method. The integration of the CDEA and the BSC seems to be advantageous because it sheds more light on the complexity and tradeoffs inherent in actual performance measurement. It is important to note that there cannot be a unique and universal model of performance measurement applicable in every situation, in every organization and at any time. Research limitations/implications The data set of a single organization in the manufacturing industry is used to show the performance of the proposed mathematical model; therefore, generalization of the results should be done cautiously. This framework is based on the Iranian community and experts’ viewpoints; therefore, different results may be obtained if it is applied elsewhere, and the importance of perspectives and their indicators might show different results in other populations and other countries. In addition, because the data is collected in a specific period of time, the results cannot be extended to other periods of time. Originality/value The main contribution of this paper lies in the adaption of a new integrated CDEA-BSC model to performance measurement in the industrial sector that technology improves the ultimate results of performance measurement and provides wider opportunities for decision-makers. This paper aids managers and decision-makers to control the efficient indicators in perspectives.

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Performance evaluation of bank branches in the atmosphere of grey uncertainty

Karimi,

Ahmadian,

Shahbazi

2024

JM2

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Purpose As some data to evaluate the efficiency of bank branches is qualitative or uncertain, only grey numbers should be used to calculate the efficiency interval. The combination of multi-stage models and grey data can lead to a more accurate and realistic evaluation to assess the performance of bank branches. This study aims to compute the efficiency of each branch of the bank as a grey number and to group all branches into four grey efficiency areas. Design/methodology/approach The key performance indicators are identified based on the balanced scorecard and previous research studies. They are included in the two-stage grey data envelopment analysis (DEA) model. The model is run using the GAMS program. The grey efficiencies are calculated and bank branches have been grouped based on efficiency kernel number and efficiency greyness degree. Findings As policies and management approaches for branches with less uncertainty in efficiency are different from branches with more uncertainty, considering the uncertainty of efficiency values of branches may be helpful for the policy-making of managers. The grey efficiency of branches of one bank is examined in this study using the two-stage grey DEA throughout one year. The branches are grouped based on kernel and greyness value of efficiency, and the findings show that considering the uncertainty of data makes the results more consistent with the real situation. Originality/value The performance of bank branches is modeled as a two-stage grey DEA, in which the efficiency value of each branch is obtained as a grey number. The main originality of this paper is to group the bank branches based on two grey indexes named “kernel number” and “greyness degree” of grey efficiency value.

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Fuzzy preference programming formulation in data envelopment analysis for university department evaluation

Cited by 4 publications

References 110 publications

A dynamic multi-stage network data envelopment analysis approach for evaluating performance of wheat farms

A dynamic multi-stage network data envelopment analysis approach for evaluating performance of wheat farms

Manager perceptions of decision-making for evaluation indicators: a centralized data envelopment analysis based approach

Performance evaluation of bank branches in the atmosphere of grey uncertainty

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