other · 2013

Data Envelopment Analysis

Cited by 8Abstract and details only

Abstract

This contribution introduces Data Envelopment Analysis (DEA), a performance measurement technique. DEA helps decision makers for the following reasons: (1) By calculating an efficiency score, it indicates if a firm is efficient or has capacity for improvement; (2) By setting target values for input and output, it calculates how much input must be decreased or output increased in order to become efficient; (3) By identifying the nature of returns to scale, it indicates if a firm has to decrease or increase its scale (or size) in order to minimise the average total cost; (4) By identifying a set of benchmarks, it specifies which other firms' processes need to be analysed in order to improve its own practices. This contribution presents the essentials about DEA, alongside a case study to intuitively understand its application. It also introduces Win4DEAP, a software package that conducts efficiency analysis based on DEA methodology. The methodical background of DEA is presented for more demanding readers. Finally, four advanced topics of DEA are treated: adjustment to the environment, preferences, sensitivity analysis and time series data.

Cite this paper

APA 7

Huguenin, J. (2013). Data Envelopment Analysis. https://doi.org/10.1002/9781118644898.ch10

MLA 9

Huguenin, Jean‐Marc. “Data Envelopment Analysis.” 2013, pp. 235–74, https://doi.org/10.1002/9781118644898.ch10.

Chicago

Huguenin, Jean‐Marc. 2013. “Data Envelopment Analysis.” https://doi.org/10.1002/9781118644898.ch10.

Harvard

Huguenin, J. (2013) ‘Data Envelopment Analysis’. Available at: https://doi.org/10.1002/9781118644898.ch10.

BibTeX

@misc{huguenin2013data,
  title = {{Data Envelopment Analysis}},
  author = {Huguenin, Jean‐Marc},
  pages = {235--274},
  year = {2013},
  doi = {10.1002/9781118644898.ch10}
}

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