Notes:
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Problem Solved: Computes the optimal reorder point based on demand rate and lead time.
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Benefits: Ensures inventory is replenished just in time to meet demand without excess stock.
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Adoption: Can be automated as part of an inventory planning module.
Python Code:
class ReorderPointCalculator:
def __init__(self, daily_demand, lead_time_days, safety_stock):
self.daily_demand = daily_demand
self.lead_time_days = lead_time_days
self.safety_stock = safety_stock
def calculate_reorder_point(self):
return (self.daily_demand * self.lead_time_days) + self.safety_stock
# Example values
daily_demand = 30 # units per day
lead_time_days = 7
safety_stock = 100
rpc = ReorderPointCalculator(daily_demand, lead_time_days, safety_stock)
reorder_point = rpc.calculate_reorder_point()
print(f"Reorder Point: {reorder_point} units")
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