bullwhip-deprecated {SCperf} | R Documentation |
Bullwhip effect
Description
bullwhip
computes the increase of demand
variability for a simple two-stage supply chains
consisting of a single retailer and a single manufacturer using three
forcasting methods: Minimum Mean Square Error (MMSE), Simple Moving
Average (SMA) and Exponential Smoothing (ES) when the demand follows
a known stationary AR(1) stochastic process.
Usage
bullwhip(method, phi, L, p, alpha)
Arguments
method |
Character string specifing which method to use |
phi |
A vector of autoregressive parameters |
L |
A positive lead-time |
p |
Order to be used in the SMA method |
alpha |
Smoothing factor to be used in the ES method (0 < alpha < 1) |
Details
The bullwhip
function has been deprecated and will be made defunct; use
the bullwhipgame package.
Value
The measure for the bullwhip effect
See Also
Examples
## Not run:
bullwhip("SMA",0.9,2,4)
bullwhip("ES",0.9,2,0,0.6)
bullwhip("MMSE",0.9,2)
## End(Not run)
[Package SCperf version 1.1.1 Index]