Abstract
This chapter presents some basic DEA models that are used to determine the best-practice frontier characterized by (Sect. 1.1) in Chap. 1. These models are called envelopment models, because the identified best-practice frontier envelops all the observations (DMUs). The shapes of best-practice (or efficient) frontiers obtained from these models can be associated with the concept of Returns-to-Scale (RTS) which will be discussed in details in Chap. 13. This is because the best-practice (or efficient) frontiers can be viewed as exhibiting of various types of RTS. However, if the inputs and outputs are not related to a “production function”, RTS concept cannot be applied. Under such cases, RTS is merely used to refer to different shapes of frontiers.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30, 1078–1092.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Author information
Authors and Affiliations
Corresponding author
2.1 Electronic Supplementary Material
The online version of this chapter (doi:10.1007/978-3-319-06647-9_2) contains supplementary material, which is available to authorized users.
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Zhu, J. (2014). Envelopment DEA Models. In: Quantitative Models for Performance Evaluation and Benchmarking. International Series in Operations Research & Management Science, vol 213. Springer, Cham. https://doi.org/10.1007/978-3-319-06647-9_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-06647-9_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06646-2
Online ISBN: 978-3-319-06647-9
eBook Packages: Business and EconomicsBusiness and Management (R0)