reorderpoint_leadtime_variability: reorderpoint_leadtime_variability

In inventorize: Inventory Analytics, Pricing and Markdowns

reorderpoint_leadtime_variability

Description

Calculating saftey stock based on the cycle service level.

Usage

reorderpoint_leadtime_variability(
  dailydemand,
  dailystandarddeviation,
  leadtimein_days,
  sd_leadtime_days,
  csl,
  distribution = "nbinom"
)

Arguments

dailydemand	numeric,daily Expected demand of the SKU .
dailystandarddeviation	numeric, standard deviation of daily demand of the SKU .
leadtimein_days	leadtime in days of order.
sd_leadtime_days	standard deviation of leadtime in days of order.
csl	cycle service level requested
distribution	distribution to calculate safety stock based on demand distribution, current choices are 'normal' 'poisson','gamma' and negative binomial 'nbinom'

Details

Calculating re-order point based on demand variability and lead time variability in an assumed normal distribution. cycle service level is provided to calculate saftey stock accordingly.

Value

a dataframe that contains demand lead time,sigmadl,safteyfactor and re_order point.

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

reorderpoint_leadtime_variability(dailydemand=50,dailystandarddeviation=5,
leadtimein_days=6,sd_leadtime_days=2,csl=0.90)

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