dl.sigmadl: dl.sigmadl

In inventorize: Inventory Analytics, Pricing and Markdowns

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

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.

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.

Note

this is the second version of the inventorize package, all the fucntions are without any academic contribution from my side, the aim is to facilitate and ease much of the bookkeeping that is endured during stock analysis.

Author(s)

"haytham omar email: <[e-mail]>"

Examples

dl.sigmadl(expected_demand=100,sd_demand=22,expected_leadtime=12,sd_leadtime=3)

inventorize documentation built on June 1, 2022, 1:07 a.m.