inventorymetricsIFR: inventorymetricsIFR

In inventorize: Inventory Analytics, Pricing and Markdowns

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

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.

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.

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

inventorymetricsIFR(fillrate= 0.90, demand= 35000,standerddeviation=9000,
quantity= 5000,leadtime=3 ,cost=50,holdingrate=0.15,na.rm=TRUE)

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