bullwhip-deprecated: Bullwhip effect

Description Usage Arguments Details Value See Also Examples

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

1
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

pkgSCperf-deprecated

Examples

1
2
3
4
5
6
7
8
9
## Not run: 

bullwhip("SMA",0.9,2,4)

bullwhip("ES",0.9,2,0,0.6)

bullwhip("MMSE",0.9,2) 

## End(Not run)

SCperf documentation built on May 2, 2019, 8:31 a.m.