sim_min_Q_normal: sim_min_Q_normal

In inventorize: Inventory Analytics, Pricing and Markdowns

sim_min_Q_normal

Description

Simulating a Min,Q policy or also calleD S,Q policy, .

Usage

sim_min_Q_normal(
  demand,
  mean,
  sd,
  leadtime,
  service_level,
  Quantity,
  shortage_cost = FALSE,
  inventory_cost = FALSE,
  ordering_cost = FALSE
)

Arguments

demand	A vector of demand in N time periods.
mean	average demand in N time periods.
sd	standard deviation in N time periods.
leadtime	lead time from order to arrival
service_level	cycle service level requested
Quantity	Fixed order quantity to be ordered at min
shortage_cost	shortage cost per unit of sales lost
inventory_cost	inventory cost per unit.
ordering_cost	ordering cost for every time an order is made.

Details

The Function takes a demand vector, mean of demand ,sd,lead time and requested service level to simulate and inventory system, orders are lost if inventory level is less than requested demand, also ordering is made at day t+1, metrics like item fill rate and cycle service level are calculated. the min is calculated based on a normal distribution.

Value

a list of two date frames, the simulation and the metrics.

Author(s)

"haytham omar email: <[e-mail]>"

Examples

sim_min_Q_normal(demand = rpois(50,8),mean = 5,sd=1,
service_level = 0.9,leadtime = 4,
shortage_cost = 5, Quantity = 12,inventory_cost = 1,ordering_cost = 50)

inventorize documentation built on June 1, 2022, 1:07 a.m.