inventorize (version 1.1.1)

inventorymetricsIFR: inventorymetricsIFR

Description

calculating inventory metrics based on item fillrate.

Usage

inventorymetricsIFR(
  fillrate,
  demand,
  standerddeviation,
  quantity,
  leadtime,
  cost,
  holdingrate,
  na.rm = TRUE
)

Arguments

fillrate

numeric,required percentage of demand that is fullfilled from cycle stock

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 item fillrate provided, 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

item fill rate is the percentage of demand that is fullfilled directly from the cycle stock,after item fill rate is explicitly calculated, cost per item short, cost per stock out event and cycle service level are implicitly calculated.

Examples

# NOT RUN {
inventorymetricsIFR(fillrate= 0.90, demand= 35000,standerddeviation=9000,
quantity= 5000,leadtime=3 ,cost=50,holdingrate=0.15,na.rm=TRUE)
# }