inventorymetricsCSL: inventorymetricsCSL

In inventorize: Inventory Analytics, Pricing and Markdowns

inventorymetricsCSL

Description

calculating inventory metrics based on CYCLE SERVICE LEVEL.

Usage

inventorymetricsCSL(
  csl,
  demand,
  standerddeviation,
  quantity,
  leadtime,
  cost,
  holdingrate,
  na.rm = TRUE
)

Arguments

csl	numeric,required times 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 per year.
na.rm	A logical indicating whether missing values should be removed

Details

cycle service level is the desired no of times demand is compleltey fulfiiled from cycle stock,after cycle service level is explicitly calculated, cost per item short, cost per stock out event and item fill rate 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

inventorymetricsCSL(csl=0.95,demand=20000,standerddeviation=1200,
quantity=4500,leadtime=3,cost=100,holdingrate=0.15,na.rm=TRUE)

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