nonparaeff (version 0.5-13)

sbm.tone: Linear Programming for the Slacks-based Model under the CRS

Description

Solve Slacks-based Model under the CRS (Tone, 2001)

Usage

sbm.tone(base= NULL, frontier = NULL, noutput = 1)

Arguments

base

A data set for DMUs to be evaluated. A data frame with J1*(M+N) dimention, where J1 is the number of DMUs, M for the number of inputs, and N for the number of outputs.

frontier

A data set for DMUs to construct a production possibility set (PPS). A data frame with J2*(M+N) dimention, where J2 is the number of DMUs, M for the number of inputs, and N for the number of outputs.

noutput

The number of outputs (N).

Value

A data frame with (1+J1+M+N), which shows efficiency scores, optimal weights, and optiaml input and output slacks.

Details

The SBM under the CRS assumption is calculated. See Tone (2001).

References

Cooper, W., Seiford, L. and Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software (2nd ed.). Springer Verlag, New York.

Lee, J. and Oh, D. (forthcoming). Efficiency Analysis: Data Envelopment Analysis. Press (in Korean).

Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3):498-509.

See Also

sbm.vrs

Examples

# NOT RUN {
tab7.6.dat <- data.frame(y = c(1, 1, 1, 1, 1, 1),
                              x1 = c(1, 3, 6, 2, 5, 9),
                              x2 = c(4, 1, 1, 8, 5, 2))
(re <- sbm.tone(tab7.6.dat, noutput = 1))
# }