The company uses cooking oil in its business. The usage of cooking oil is normally distributed with an average of 30 gallons per week and a standard deviation of four gallons per week. The manager asked you to help him decide how to reorder cooking oil in order to achieve a service level of 97.5 percent . Lead time is nine days. a) If cooking oil can be ordered as needed, what reorder point should be used? Answer in 2 decimal places.b) If a fixed interval of 20 days is specified, how much safety stock should the company carry. Answer in 2 decimal places.

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Answered: a) If cooking oil can be ordered as…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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The company uses cooking oil in its business. The usage of cooking oil is normally distributed with an average of 30 gallons per week and a standard deviation of four gallons per week. The manager asked you to help him decide how to reorder cooking oil in order to achieve a service level of 97.5 percent . Lead time is nine days.
a) If cooking oil can be ordered as needed, what reorder point should be used? Answer in 2 decimal places.
b) If a fixed interval of 20 days is specified, how much safety stock should the company carry. Answer in 2 decimal places.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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