Power_plants {deaR}

Data: Tone (2002).

Description

This dataset consists of six power plants with 4 inputs (X) and 2 outputs (Y).

Usage

data("Power_plants")

Format

Data frame with 15 rows and 7 columns. Definition of inputs (X) and outputs (Y):

x1

Manpower requiered

x2

Construction costs in millions of dollars

x3

Annual maintenance costs in millions of dollars

x4

Number of villages to be evacuated

y1

Power generated in megawatts

y2

Safety level

Author(s)

Vicente Coll-Serrano ([e-mail]). Quantitative Methods for Measuring Culture (MC2). Applied Economics.

Vicente Bolos ([e-mail]). Department of Business Mathematics

Rafael Benitez ([e-mail]). Department of Business Mathematics

University of Valencia (Spain)

Source

Andersen, P.; Petersen, N.C. (1993). "A procedure for ranking efficient units in data envelopment analysis", Management Science, 39, 1261-1264.

Doyle, J. and Green R. (1993). "Data envelopment analysis and multiple criteria decision making", Omega, 21 (6), 713-715. doi:10.1016/0305-0483(93)90013-B

Tone, K. (2002). "A slacks-based measure of super-efficiency in data envelopment analysis", European Journal of Operational Research, 143, 32-41. doi:10.1016/S0377-2217(01)00324-1

See Also

make_deadata, model_supereff, model_sbmsupereff

Examples

# Example 1. Radial super-efficiency model.
# Replication of results in Tone (2002)
data("Power_plants")
data_example <- make_deadata(Power_plants,
                             ni = 4,
                             no = 2)
result <- model_supereff(data_example,
                         orientation = "io",
                         rts = "crs")
eff <- efficiencies(result)
eff

# Example 2. SBM super-efficiency model.
data("Power_plants")
data_example <- make_deadata(Power_plants,
                             ni = 4,
                             no = 2)
result2 <- model_sbmsupereff(data_example,
                             orientation = "io",
                             rts = "crs")
efficiencies(result2)
slacks(result2)$input
references(result2)