CSOE {inventorize}

CSOE

Description

Cost per stockout event

Usage

CSOE(
  quantity,
  demand,
  standerddeviation,
  leadtimeinweeks,
  cost,
  costSoe,
  holdingrate,
  na.rm = TRUE
)

Arguments

quantity

numeric,quantity replinished every cycle.

demand

numeric,annual Expected demand of the SKU .

standerddeviation

numeric, standard deviation of the SKU during season.

leadtimeinweeks

numeric,leadtime in weeks of order.

cost

numeric,cost of item.

costSoe

numeric, estimated cost per stockout event.

holdingrate

numeric, holding rate per item per year,percentage.

na.rm

removes na values if TRUE, TRUE by default

Details

Calculating K value that corresponds to the cost per stock out event, how much quantity should be put in stock as a minimum.the function solves for optimum K based on the stock out event. It should be noted that the condition(output) should be bigger than 1. other wise set K as per management.

Value

a dataframe that contains calculations of K and the minimum quantity to be put in stock .

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

CSOE(quantity=1000,demand=40000,standerddeviation=200,leadtimeinweeks=3,
cost=500,costSoe=30000,holdingrate=0.2,na.rm=TRUE)