The average demand on a factory store for a certain electric motor is 8 per week.
When the storeman places an order for these motors, delivery takes one week.If the demand for motors has a Poisson distribution, how low can the storeman allow his stock to fall before ordering a new supply if he wants to be at least
95% sure of meeting all requirements while waiting for his new supply to arrive?
Given the average demand on a factory store for a certain electric motor = 8 per week
x=8
Demand for follows the Poisson distribution
From the Poisson distribution
"P(x=k)=\\frac{e^{-\\lambda* }\\lambda^k}{k!}\\\\\nP(x\u2264n)\u22650.95"
Finding the value of n
"\\frac{e^{-8}8^0}{0!}+\\frac{e^{-8}8^1}{1!}+\\frac{e^{-8}8^2}{2!}+...+\\frac{e^{-8}8^n}{n!}\u22650.95\\\\\ne^{-8}(\\frac{8^0}{0!}+\\frac{8^1}{1!}+...+\\frac{8^n}{n!})\u22650.95\\\\\n\\frac{8^0}{0!}+\\frac{8^1}{1!}+...+\\frac{8^n}{n!}\u2265 283191009"
From the above series, the minimum n= 13 satisfies to meet 95% sure of meeting all requirements while waiting for his new supply to arrive
So the storeman can allow the minimum of 13.
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