Money Back Guarantees
By: Sean • Research Paper • 1,434 Words • May 6, 2010 • 975 Views
Money Back Guarantees
Money-back guarantees
In case returns are allowed in the supply chin, two different scenarios are considered. First, the manufacturer offers to the final customers in case that they are not satisfied with the product to return it directly to the manufacturer (see diagram below). If the customer decide to return the product, he receives partial refund of a*r, where 0 ≤ a ≤ 1. The probability that the customer will return the product is θ. For this scenario, the part of returned products to the manufacturer is θX.
Second, the retailer allows the customers to return the product in case that they are unsatisfied with it (see diagram below). For this case the refund that the customer retains is as in previous case a*r, where 0 ≤ a ≤ 1. After the return of the product to the retailer, the retailer obtains a salvage value for the product from the manufacturer. The expected number of returned products is θX.
It is assumed that the demand is a random variable distributed between 1 and 5. The probabilities for each demand value are given (see table below). The expected demand for the product is calculated in the table E(X) = 1200.
1 2 3 4 5 Expected demand
Xi 1000 1100 1200 1300 1400
qi 0,1 0,2 0,4 0,2 0,1
Product 100 220 480 260 140 1200
In order to find the equilibrium fort he both scenarios, the profits have to be calculated, which the manufacturer, retailer and the channel as a whole would obtain in the both cases.
It is assumed that production costs for the manufacturer are 90. The price for which the product is sold to the final customer is 120. Therefore, the manufacturer has to set his price in the range between 90 ≤ w ≤ 120. It is considered that the probability that the customer would be unsatisfied with the product and would return is 10% (see table below). Two scenarios are assumed, the customer obtains full refund for the returned products (a = 1) and partial refund of the half of the price (a = 0,5).
I) Full refund (a = 1)
The data conserning this case is included in the table below:
Variable Value
c 90
r 120
a 1
a*r 120
teta 0,1
s 90
1) In case that the products are returned directly to the manufacturer, the profits of the participants in the supply chain are as follows:
w Profit OEM Profit R Total Profit
90 -14400 36000 21600
91 -13200 34800 21600
92 -12000 33600 21600
93 -10800 32400 21600
94 -9600 31200 21600
95 -8400 30000 21600
96 -7200 28800 21600
97 -6000 27600 21600
98 -4800 26400 21600
99 -3600 25200 21600
100 -2400 24000 21600
101 -1200 22800 21600
102 0 21600 21600
103 1200 20400 21600
104 2400 19200 21600
105 3600 18000 21600
106 4800 16800 21600
107 6000 15600 21600
108 7200 14400 21600
109 8400 13200 21600
110 9600 12000 21600
111 10800 10800 21600
112 12000 9600 21600
113 13200 8400 21600
114 14400 7200 21600
115 15600 6000 21600
116 16800 4800 21600
117 18000 3600 21600
118 19200 2400 21600
119 20400 1200 21600
120 21600 0 21600
The break even point fort he manufacturer is w = 102. With other words, he