Chance constrained programming approaches to congestion in stochastic data envelopment analysis

Cooper, W. W.; Deng, Honghui; Huang, Zhimin; Li, Susan X.

doi:10.1016/s0377-2217(02)00901-3

Cited by 147 publications

(92 citation statements)

References 22 publications

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“…The requirement to study congestion is, therefore, rather obvious; furthermore, it has additional important practical implications, especially when its use is associated with a need for increasing inputs to serve vital objectives besides output maximization [10]. As such, in time, congestion has developed into a topic that has received considerable attention from both researchers and practitioners alike.…”

Section: Resultsmentioning

confidence: 99%

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An input relaxation model for evaluating congestion in fuzzy DEA

Kheirollahi

Hessari

Charles

et al. 2017

Croat. Oper. Res. Rev.

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Abstract. This paper develops a BCC input relaxation model for identifying input congestion as a severe form of inefficiency of decision-making units in fuzzy data envelopment analysis. The possibility approach is presented to obtain the models equivalent to fuzzy models. We use a one-model approach to determine input congestion based on the BCC input relaxation model. A numerical example is given to illustrate the proposed model and identify the congestion with precise and imprecise data. The proposed model is also used to determine the congestion in 16 hospitals using four fuzzy inputs and two fuzzy outputs with a symmetrical triangular membership function.

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Section: Resultsmentioning

confidence: 99%

“…In this paper, the one-model approach to the BCC input relaxation model is applied to identify the input congestion with fuzzy inputs and outputs and the possibility approach is used to obtain the deterministic models equivalent to the fuzzy models. Cooper et al [10] defined congestion as follows:…”

Section: Congestionmentioning

confidence: 99%

An input relaxation model for evaluating congestion in fuzzy DEA

Kheirollahi

Hessari

Charles

et al. 2017

Croat. Oper. Res. Rev.

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“…Job satisfaction has also been an interesting subject for researchers seeking to understand employees' behaviours and attitudes [12]. Job satisfaction is directly related to organisational commitment [16], and is also directly [7] or indirectly [16] related to turnover intentions [12]. To measure 'job satisfaction' accurately, a number of criteria related to the job should be evaluated in order to consider a broad range of employee beliefs and attitudes towards the job.…”

Section: Job Satisfactionmentioning

confidence: 99%

“…Based on the DEA approach, an employee with the highest performance is not necessarily the most efficient. DEA has been used in economic analysis for recognising technically efficient operations [7]. It is a linear programming method that integrates partial efficiency measures into a single unit, and provides objective evaluation and consistent comparisons of technical efficiency among decisionmaking units (DMUs).…”

Section: Introductionmentioning

confidence: 99%

A Data Envelopment Analysis Approach for Measuring the Efficiency of Employees: A Case Study

Shirouyehzad

Lotfı

Aryanezhad

et al. 2011

The South African Journal of Industrial Engineering

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Human resource management has become ever more important to organisational success. Many organisations have therefore realised that human resource management and performance can provide competitive advantage. The purpose of this study is to introduce a practical model for assessing employees' efficiency. In this paper, a model related to the data envelopment analysis (DEA) approach is developed to calculate such efficiency. Physical working conditions, salary, responsibilities allocated, and the amount of work to be done are considered the main factors that may influence employees' efficiency. The Andersen-Petersen model and a brief statistical analysis are used to rank employees and to analyse their efficiency value, based on demographic characteristics. The study confirms that physical working conditions and organisational commitment are the main factors that affect employees' efficiency. OPSOMMINGMenslike-hulpbronbestuur speel 'n al belangriker rol in die sukses van 'n onderneming. Gevolglik het talle ondernemings besef dat menslike-hulpbronbestuur en werkverrigting 'n mededingende voordeel kan bied. Die doel van hierdie studie is om 'n praktiese model vir die assessering van werknemers se doeltreffendheid bekend te stel. 'n Model, wat verband hou met die 'data envelopment analysis (DEA)'-benadering, is ontwikkel om die doeltreffendheid te bereken. Fisiese werkomstandighede, salaris, verantwoordelikhede toegewys en die werklading word beskou as die belangrikste faktore wat werknemer-doeltreffendheid kan beïnvloed. Die Anderson-Petersen-model en 'n bondige statistiese analise is gebruik om werknemers te rangskik om sodoende hul doeltreffendheidswaarde te analiseer, gebaseer op demografiese kenmerke. Die studie bevestig dat fisiese werks-omstandighede en die verbintenis van die organisasie die belangrikste faktore is wat werknemers doeltreffendheid beïnvloed.

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“…The main advantage of working with random data in DEA is the prediction of efficiencies in future. Given the need to use random data in practical models, Several researchers initiated stochastic DEA models (see [3,4,5,10,12]). Subsequently, Li [11], Huang and Li [6], Khodabakhshi [8,9] and Behzadi et al [1] present more stochastic DEA models.…”

Section: Introductionmentioning

confidence: 99%

Multiplier Models in Stochastic DEA

Mirbolouki¹,

Behzadi²,

Korzaledin³

2014

Data Envelopment Analysis and Decision Science

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Data Envelopment Analysis (DEA) is a data-oriented performance evaluation method which has treated data as being deterministic. Throughout applications managers may encounter the data which are not recognized deterministically. In this paper a deterministic version of stochastic CCR multiplier model based on chance constrained programming approach is presented. The advantage of this method is that the stochastic essence of input-output variables has been taken into account. Using numerical example, we will demonstrate how this method works.

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Chance constrained programming approaches to congestion in stochastic data envelopment analysis

Cited by 147 publications

References 22 publications

An input relaxation model for evaluating congestion in fuzzy DEA

An input relaxation model for evaluating congestion in fuzzy DEA

A Data Envelopment Analysis Approach for Measuring the Efficiency of Employees: A Case Study

Multiplier Models in Stochastic DEA

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