inventorize (version 1.1.1)

total.logistics.cost: 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

Value

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

Details

calculating total logistics cost based on a normal distribution.

Examples

# NOT RUN {
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)
# }