inventorymetricsCIS: inventorymetricsCIS

In inventorize: Inventory Analytics, Pricing and Markdowns

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

Details

after cost per item short is explicitly calculated, item fill rate, 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 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.

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

inventorymetricsCIS(CIS= 90, demand= 35000,standerddeviation=9000,
quantity= 9000,leadtime=3 ,cost=90,holdingrate=0.15,na.rm =TRUE)

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