Calculating saftey stock based on the cycle service level.
Usage
reorderpoint_leadtime_variability(
dailydemand,
dailystandarddeviation,
leadtimein_days,
sd_leadtime_days,
csl,
distribution = "nbinom"
)
Arguments
dailydemand
numeric,daily Expected demand of the SKU .
dailystandarddeviation
numeric, standard deviation of daily demand of the SKU .
leadtimein_days
leadtime in days of order.
sd_leadtime_days
standard deviation of leadtime in days of order.
csl
cycle service level requested
distribution
distribution to calculate safety stock based on demand distribution, current choices are 'normal'
'poisson','gamma' and negative binomial 'nbinom'
Value
a dataframe that contains demand lead time,sigmadl,safteyfactor and re_order point.
Details
Calculating re-order point based on demand variability and lead time variability in an assumed normal distribution. cycle service level is provided to calculate saftey stock accordingly.