DJL (version 3.9)

target.arrival.dea: Arrival target setting using DEA

Description

Employs dm.dea over time to estimate the arrival of known specifications.

Usage

target.arrival.dea(xdata, ydata, date, t, rts="crs", orientation, 
                   sg="ssm", ftype="d", ncv=NULL, env=NULL, cv="convex", anc=FALSE)

Value

$eff_t

Efficiency at t

$lambda_t

Intensity vector at t

$eft_date

Effective date

$roc_avg

Average RoC

$roc_anc

Local RoCs across the periods

$roc_local

Local RoC

$roc_ind

Individualized RoC

$arrival_avg

Estimated arrival using roc_avg

$arrival_seg

Estimated arrival using roc_ind

Arguments

xdata

Input(s) vector (n by m)

ydata

Output(s) vector (n by s)

date

Production date (n by 1)

t

A vantage point from which the RoC is captured

rts

Returns to scale assumption
"crs" Constant RTS (default)
"vrs" Variable RTS
"irs" Increasing RTS
"drs" Decreasing RTS

orientation

Orientation of the measurement
"i" Input-orientation
"o" Output-orientation

sg

Employs second-stage optimization
"ssm" Slack-sum maximization (default)
"max" Date-sum maximization
"min" Date-sum minimization

ftype

Frontier type
"d" Dynamic frontier (default)
"s" Static frontier

ncv

Non-controllable variable index(binary) for internal NDF (1 by (m+s))

env

Environment index for external NDF (n by 1)

cv

Convexity assumption
"convex" Convexity holds (default)
"fdh" Free disposal hull (this will override rts)

anc

Implements a stepwise RoC computation if TRUE

Author

Dong-Joon Lim, PhD

References

Lim, Dong-Joon, Timothy R. Anderson, and Oliver Lane Inman. "Choosing effective dates from multiple optima in Technology Forecasting using Data Envelopment Analysis (TFDEA)." Technological Forecasting and Social Change 88 (2014): 91~97.

Lim, Dong-Joon, and Timothy R. Anderson. Time series benchmarking analysis for new product scheduling: who are the competitors and how fast are they moving forward?. Advances in DEA Theory and Applications: with Examples in Forecasting Models. (2017): 443-458.

See Also

dm.dea Distance measure using DEA
roc.dea RoC calculation using DEA
map.soa.dea SOA mapping using DEA
target.arrival.dea Arrival target setting using DEA
target.spec.dea Spec target setting using DEA

Examples

# Reproduce Table 4 in Lim, D-J., and Timothy R. Anderson.(2016)
  # Load airplane dataset
  df <- dataset.airplane.2017
  
  # ready
  x <- data.frame(Flew = rep(1, 28))
  y <- subset(df, select = 3 : 7)
  d <- subset(df, select = 2)

  # go
  target.arrival.dea(x, y, d, 2007, "vrs", "o", "min", "d")$arrival_seg