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A local retailer plans to sell cashmere sweaters in its regular catalog for $150 each. The manager estimates that the demand can be characterized by

A local retailer plans to sell cashmere sweaters in its regular catalog for $150 each. The manager estimates that the demand can be characterized by a triangular distribution with a minimum, most likely, and maximum sales of 2000, 3000, and 5,000 units, respectively. Toward the end of the season, the retailer sends out a clearance catalog with discounted prices on unsold items. Understandably, the discounted price determines the demand in response to the clearance catalog. The manager has decided to charge a discount price of p = max ($25, $150n/20), where n is the number of sweaters left over after the regular catalog. At this clearance price p, the manager believes that the demand for cashmere sweaters follows a normal distribution with a mean of 10005p and a standard deviation of (10005p)/3. If there are still any leftover sweaters after clearance catalog, they will be donated to a local charity. Each sweater costs the retailer $50. As such, the donation to charity will generate $20 in tax benefits. The manager would like to identify the optimal number of sweaters to order at the beginning of the winter season. Please run a simulation for 1000 times with order quantities from 2000 to 5000 with increment of 500. Can you give the manager a suggestion on how many sweaters to order based on the criterion of maximizing the average (expected) profit? Please use the template down below.

PLEASE USE EXCEL FORMULAS CLEARLY AND DO NOT USE RISK FUNCTION FOR THUMBS UP!!!!!!!!

Problem data Triangular distribution
Discount price Minimum 2000
Regular price 150 Most likely 3000
Clearance demand (normal) Maximum 5000
Regular demand (triangular) Mean Range Range = Max - Min
Minimum 2000 Standard deviation Ratio Ratio = (MostLikely - Min)/Range
Most likely 3000 Rand #
Maximum 5000 Tax benefit (donation) 20 per donated unit Excel formula to generate a triangular input if range names are properly defined.
=IF(Rand
Quantity to order 2000 Order quantity to try 2500 3000 3500 4000 4500 5000
Simulation Leftover Clearance Donated Tax
Regular demand Cost Regular revenue Leftover demand revenue unit benefit Profit
Summary measures
Order quantity
Average
Standard deviation
Best order quantity:

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