total.logistics.cost {inventorize}

total.logistics.cost

Description

calculating total logistics cost .

Usage

total.logistics.cost(
  quantity,
  expected_annual_demand,
  sd_annual_demand,
  expected_leadtimeindays,
  sd_leadtime,
  costperunit,
  transportcost,
  holdingrate,
  ordering_cost,
  csl
)

Arguments

quantity

quantity ordered every cycle.

expected_annual_demand

numeric, expected annual demand of the SKU.

sd_annual_demand

annual standard deviation of the SKU.

expected_leadtimeindays

expected lead time in days.

sd_leadtime

standard deviation of leadtime

costperunit

purchase cost of the SKU

transportcost

transport cost of the SKU

holdingrate

holding rate of the SKU

ordering_cost

ordering cost per order placed

csl

cycle service level desired

Details

calculating total logistics cost based on a normal distribution.

Value

a dataframe that contains calculations of the total logistics cost in detail.

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

total.logistics.cost(quantity=32,expected_annual_demand=1550,
sd_annual_demand=110,expected_leadtimeindays=64,sd_leadtime=8,
costperunit=107,transportcost=22,holdingrate=0.15,ordering_cost=500,csl=0.95)