sim_base_pois: sim_base_pois

In inventorize: Inventory Analytics, Pricing and Markdowns

sim_base_pois

Description

Simulating a Min,max policy or aslo called s,S policy, .

Usage

sim_base_pois(
  demand,
  lambda,
  leadtime,
  service_level,
  Base = FALSE,
  shortage_cost = FALSE,
  inventory_cost = FALSE,
  ordering_delay = FALSE,
  ordering_cost = FALSE
)

Arguments

demand	A vector of demand in N time periods.
lambda	rate of demand in N time periods.
leadtime	lead time from order to arrival
service_level	cycle service level requested
Base	Set to False for automatic calculation,else manual input of base.
shortage_cost	shortage cost per unit of sales lost.
inventory_cost	inventory cost per unit.
ordering_delay	logical,Default is FALSE,if TRUE, orders are delayed one period.
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 based on poisson distribution..

Value

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

Author(s)

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

Examples

sim_base_pois(demand = rpois(50,8),lambda = 4,leadtime = 4,shortage_cost = 20,ordering_delay=FALSE,
Base  = FALSE,service_level = 0.70,inventory_cost = 50,ordering_cost=50)

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