A bargaining game model for measuring efficiency of two-stage network DEA with non-discretionary inputs

Abdali, Elham; Fallahnejad, Reza

doi:10.1080/23799927.2020.1723708

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…Furthermore, the authors compared its empirical results with the deterministic model, because such an application may provide an illustrative linkage between the integrated deterministic and stochastic DEA approaches on real decisional problems in forest management. Further, Abdali and Fallahnejad (2020) presented a bargaining game approach for evaluating the efficiency of a two-stage network DEA with non-discretionary inputs.…”

Section: Introductionmentioning

confidence: 99%

Performance measurement and resource sharing among business sub-units in the presence of non-discretionary factors

Shakouri

Salahi²

2021

JM2

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Purpose This paper aims to apply a new approach for resource sharing and efficiency estimation of subunits in the presence of non-discretionary factors and partial impacts among inputs and outputs in the data envelopment analysis (DEA) framework. Design/methodology/approach First, inspired by the Imanirad et al.’s model (2013), the authors consider that each decision-making unit (DMU) may consist of several subunits, that each of which can be affected by non-discretionary inputs. After that, the Banker and Morey’s model (1996) is used for modeling non-discretionary factors. For measuring performance of several subunits, which can be considered as DMUs, the aggregate efficiency is suggested. At last, the overall efficiency is computed and compared with each other. Findings One of the important features of proposed model is that each output in this model applies discretionary input according to its need; therefore, the result of this study will make it easier for the managers to make better decisions. Also, it indicates that significant predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the influence of non-discretionary input. Therefore, the proposed model provides a more reasonable and encompassing measure of performance in participating non-discretionary and discretionary inputs to better efficiency. An application of the proposed model for gaining efficiency of 17 road patrols is provided. Research limitations/implications More non-discretionary and discretionary inputs can be taken into consideration for a better analysis. This study provides us with a framework for performance measures along with useful managerial insights. Focusing upon the right scope of operations may help out the management in improving their overall efficiency and performance. In the recent highway maintenance management systems, the environmental differences exist among patrols and other geotechnical services under the climate diverse. Further, in some cases, there might exist more than one non-discretionary factor that can have different effects on the subunits’ performance. Practical implications The purpose of this paper was to measure the performance of a set of the roadway maintenance crews and to analyze the impact of non-discretionary inputs on the efficiency of the roadway maintenance. The application of the proposed model, on the one hand, showed that each output in this model uses discretionary input according to its requirement, and on the other hand, the result showed that meaningful predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the impact of non-discretionary input. Originality/value Providing information on resource sharing by taking into account non-discretionary factors for each subunit can help managers to make better decisions to increase the efficiency.

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Section: Introductionmentioning

confidence: 99%

Performance measurement and resource sharing among business sub-units in the presence of non-discretionary factors

Shakouri

Salahi²

2021

JM2

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“…Taleb et al [18] proposed a two stage approach of super efficiency slack-based measure with non-discretionary variables and integer-valued data. Abdali and Fallahnejad [1] developed a bargaining game model to measure the efficiency of DMUs with two-stage network structure in the presence of non-discretionary inputs. Khanmohammadi and Kazemimanesh [14] applied the context-dependent method for ranking DMUs with non-discretionary variables.…”

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confidence: 99%

Integrating decision making conditions into DEA models

Zehi

Mustafa

2021

RAIRO-Oper. Res.

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Data Envelopment Analysis (DEA) is a popular non-parametric technique for the assessment of efficiency of a set of homogeneous decision making units (DMUs) with the same set of inputs and outputs. In the conventional DEA models, it is assumed that all variables are fully controllable. However, in the real-world applications of DEA, some of the variables are completely uncontrollable or partially controllable. In this paper, we are concerned about partially controllable variables which are called semi-discretionary variables. In DEA models, in the presence of semi-discretionary variables, decision makers have partial control on these variables and the proportional changes are possible to some extent. Previous DEA models with semi-discretionary variables consider a certain level of control on the variables which is fixed and it is given by decision makers or a higher authority. Since this level is usually given by experts, it is possible that in some cases all experts may not come up with an agreement, so in this paper we consider variable instead of fixed level of control on each semi-discretionary variable. In the presence of semi-discretionary variables, the proportional changes in inputs and outputs may not be feasible and as a result the obtained target value by conventional DEA models is not achievable for an inefficient DMU. Thus, we propose a bi–objective model to evaluate DMUs when modifying a variable to its target value should be managed by decision makers in a voting system. One of the advantages of the proposed model is including decision making conditions directly into a DEA model.

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Efficiency evaluation in hybrid two-stage network DEA with non-discretionary inputs and shared discretionary inputs

Abdali

Moradipour

Asadi-Rahmati

et al. 2021

International Journal of Computer Mathematics: Computer Systems

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A bargaining game model for measuring efficiency of two-stage network DEA with non-discretionary inputs

Cited by 3 publications

References 28 publications

Performance measurement and resource sharing among business sub-units in the presence of non-discretionary factors

Performance measurement and resource sharing among business sub-units in the presence of non-discretionary factors

Integrating decision making conditions into DEA models

Efficiency evaluation in hybrid two-stage network DEA with non-discretionary inputs and shared discretionary inputs

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