inventorize (version 1.1.1)

dl.sigmadl: dl.sigmadl

Description

claculating demand lead time,saftey stock when there is a leadtime variability.

Usage

dl.sigmadl(expected_demand, sd_demand, expected_leadtime, sd_leadtime)

Arguments

expected_demand,

numeric,expected daily demand .

sd_demand

numeric,standard deviation of daily demand .

expected_leadtime

numeric, expected leadtime in days.

sd_leadtime

numeric,standard deviation of leadtime

Value

a dataframe that contains calculations of the expected demand lead time and the expected saftey stock during leadtime. It is noted that saftey stock here is more than normal due to leadtime variability.

Details

calculating leadtime with leadtime variablility as delivery time diffires to long distances and reliability of mode of transport. thus demand leadtime and standard deviation during lead time takes into consideration the lead time variability.

Examples

# NOT RUN {
dl.sigmadl(expected_demand=100,sd_demand=22,expected_leadtime=12,sd_leadtime=3)
# }