reorderpoint {inventorize}

reorderpoint

Description

Calculating saftey stock based on the cycle service level.

Usage

reorderpoint(
  dailydemand,
  dailystandarddeviation,
  leadtimein_days,
  csl,
  distribution = "normal"
)

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..

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 without 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(dailydemand=50,dailystandarddeviation=5,leadtimein_days=6,csl=0.90)