View source: R/total.logistics.cost.R
total.logistics.cost | R Documentation |
calculating total logistics cost .
total.logistics.cost( quantity, expected_annual_demand, sd_annual_demand, expected_leadtimeindays, sd_leadtime, costperunit, transportcost, holdingrate, ordering_cost, csl )
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 |
calculating total logistics cost based on a normal distribution.
a dataframe that contains calculations of the total logistics cost in detail.
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.
"haytham omar email: <haytham@rescaleanalytics.com>"
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)
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