inventorize (version 1.1.1)

inventorymetricsCIS: inventorymetricsCIS

Description

calculating inventory metrics based on cost per item short.

Usage

inventorymetricsCIS(
  CIS,
  demand,
  standerddeviation,
  quantity,
  leadtime,
  cost,
  holdingrate,
  na.rm = TRUE
)

Arguments

CIS

numeric,cost per item short determined by management

demand

numeric,annual demand of the SKU.

standerddeviation

numeric, annual standard deviation

quantity,

numeric,quantity replinished every cycle.

leadtime,

numeric,leadtime in weeks

cost,

numeric cost of the SKU

holdingrate

,numeric, holding rate per item/year

na.rm

A logical indicating whether missing values should be removed

Value

a dataframe that contains demand leadtime,sigmadl(standard deviation in leadtime),saftey factor k determined based on cost per itemshort,unit normal loss function,expected units to be short,cycle service level, fill rate,implied cost per stockout event, saftey stock and suggested reorder point.

Details

after cost per item short is explicitly calculated, item fill rate, cost per stock out event and cycle service level are implicitly calculated.

Examples

# NOT RUN {
inventorymetricsCIS(CIS= 90, demand= 35000,standerddeviation=9000,
quantity= 9000,leadtime=3 ,cost=90,holdingrate=0.15,na.rm =TRUE)
# }