safteystock_CIS_normal: safteystock_CIS_normal

In inventorize: Inventory Analytics, Pricing and Markdowns

safteystock_CIS_normal

Description

Calculating K value that reduces cost per item short.

Usage

safteystock_CIS_normal(
  quantity,
  demand,
  standerddeviation,
  leadtimeinweeks,
  cost,
  Citemshort,
  holdingrate,
  na.rm = TRUE
)

Arguments

quantity,	numeric,quantity replinished every cycle.
demand	numeric,annual Expected demand of the SKU .
standerddeviation	numeric, standard deviation of the SKU during season.
leadtimeinweeks	leadtime in weeks or order.
cost	numeric,cost of the SKU
Citemshort	numeric, peanlity cost of not satisfying demand if any, if not, zero is placed in the argument.
holdingrate	numeric,,holding charge per item per year.
na.rm	Logical, True to remove na.

Details

Calculating K value that reduces cost per item short inventory metric based on an assumed normal distribution.

Value

a dataframe that contains calculations of K the cost per item short metric noting that condition must me less than 1.

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

safteystock_CIS_normal(quantity=3000,demand=50000,standerddeviation=4000,
leadtimeinweeks=4,cost=90,Citemshort=15,holdingrate=0.15,na.rm=TRUE)

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