bullwhip-deprecated: Bullwhip effect

In msmarchena/SCperf: Functions for Planning and Managing Inventories in a Supply Chain

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

pkgSCperf-deprecated

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)

msmarchena/SCperf documentation built on May 23, 2019, 7:54 a.m.