inventorize (version 1.1.1)

inventorymetricsCSL: inventorymetricsCSL

Description

calculating inventory metrics based on CYCLE SERVICE LEVEL.

Usage

inventorymetricsCSL(
  csl,
  demand,
  standerddeviation,
  quantity,
  leadtime,
  cost,
  holdingrate,
  na.rm = TRUE
)

Arguments

csl

numeric,required times of demand that is fullfilled from cycle stock

demand

numeric,annual demand of the SKU.

standerddeviation

numeric, annual standard deviation

quantity,

numeric,quantity replinished every cycle.

leadtime,

numeric,leadtime in weeks

cost,

numeric,cost of the SKU.

holdingrate

numeric, holding rate per item per year.

na.rm

A logical indicating whether missing values should be removed

Value

a dataframe that contains demand leadtime, sigmadl(standard deviation in leadtime), saftey factor k determined based on item fillrate provided, unit normal loss function, expected units to be short, cycle service level, fill rate,implied cost per stockout event, saftey stock and suggested reorder point.

Details

cycle service level is the desired no of times demand is compleltey fulfiiled from cycle stock,after cycle service level is explicitly calculated, cost per item short, cost per stock out event and item fill rate are implicitly calculated.

Examples

# NOT RUN {
inventorymetricsCSL(csl=0.95,demand=20000,standerddeviation=1200,
quantity=4500,leadtime=3,cost=100,holdingrate=0.15,na.rm=TRUE)
# }