Exercise 13-1: Green Thumb
Anticipated demand 100
Standard deviation 40
Unit costs 150
Sales price 200
Disposal value 50
Inventory holding costs 20
Salvage value =C21-C22
Cost of understocking =C20-C19
Cost of overstocking =C19-C25
Optimal cycle service level =C26/(C26+C27)
Optimal lot size =NORMINV(C30,C17,C18)
Expected profits
=(C20-C25)*C17*NORMSDIST((C31-C17)/C18)-(C20-C25)*C18*NORMDIST((C31-C17)/C18,0,1,0)-C31*C27*NORMDIST(C31,C17,C18,1)+C31*C26*(1-NORMDIST(C31,C17,C18,1))
=(C31-C17)*NORMDIST((C31-C17)/C18,0,1,1)+C18*NORMDIST((C31-C17)/C18,0,1,0)
=(C17-C31)*(1-NORMDIST((C31-C17)/C18,0,1,1))+C18*NORMDIST((C31-C17)/C18,0,1,0)
Green Thumb, a manufacturer of lawn care equipment, has introduced a new product. Each unit costs $150 to manufacture, and the introductory price is $200. At this price, the anticipated demand is
normally distributed, with a mean of μ= 100 and a standard deviation of σ= 40. Any unsold units at the end of the season will be disposed of in a postseason sale for $50 each. It costs $20 to hold a unit
in inventory for the entire season. How many units should Green Thumb manufacture for sale? What is the expected profit from this policy? On average, how many customers does Green Thumb expect
to turn away because of stocking out?