inventorize (version 1.1.1)

safteystock_CIS_normal: 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.

Value

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

Details

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

Examples

# NOT RUN {
safteystock_CIS_normal(quantity=3000,demand=50000,standerddeviation=4000,
leadtimeinweeks=4,cost=90,Citemshort=15,holdingrate=0.15,na.rm=TRUE)
# }