target.arrival.hdf: Arrival target setting using HDF

In DJL: Distance Measure Based Judgment and Learning

Arrival target setting using HDF

Description

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

Usage

target.arrival.hdf(xdata, ydata, date, t, rts="crs", 
                   wd=NULL, sg="ssm", ftype="d", cv="convex", anc=FALSE)

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
wd	Weak disposability vector indicating (an) undesirable output(s) (1 by s)
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
cv	Convexity assumption "convex" Convexity holds (default) "fdh" Free disposal hull (this will override rts)
anc	Implements a stepwise RoC computation if TRUE

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

Author(s)

Dong-Joon Lim, PhD

References

Lim, Dong-Joon, et al. "Comparing technological advancement of hybrid electric vehicles (HEV) in different market segments." Technological Forecasting and Social Change 97 (2015): 140~153.

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.hdf Distance measure using HDF
roc.hdf RoC calculation using HDF
map.soa.hdf SOA mapping using HDF
target.arrival.hdf Arrival target setting using HDF

Examples

# Estimate arrivals of MY2015 SC/TC 8 cylinder engines
  # Load engine dataset
    df <- dataset.engine.2015
  
  # Subset for SC/TC 8 cylinder engines
    stc.8 <- subset(df, grepl("^.C..", df[, 8]) & df[, 3] == 8)
  
  # Parameters
    x <- subset(stc.8, select = 4)
    y <- subset(stc.8, select = 5:7)
    d <- subset(stc.8, select = 2)
  
  # Generate an SOA map
    target.arrival.hdf(x, y, d, 2014, "vrs")

DJL documentation built on March 31, 2023, 9:05 p.m.