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The New Science of Retailing
book

The New Science of Retailing

by Marshall Fisher, Ananth Raman
June 2010
Beginner to intermediate
272 pages
6h 29m
English
Harvard Business Review Press
Content preview from The New Science of Retailing

APPENDIX

Section A-1: Using the Gamma Function in Excel to Create Table 3-6 and Using This Table to Calculate an Optimal Buy Quantity

Table 3-6 and table A-1 below can be created using Excel. We used the GAMMADIST(d,a,b,true) function in Excel, where d is a demand value, a and b are two parameters that define the Gamma, and true indicates that we want the probability that demand will be less than or equal to d. The parameters a and b can be computed from the average and standard deviation using the formulas a = (average / standard deviation)2 and b = (standard deviation)2 / average.

For the navy turtleneck with an average of 94.75 and a standard deviation of 7.3272, we get a = (94.75 / 7.3272) 2 = 167.219, and b = (7.3272)2/ 94.75 = 0.567.

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Publisher Resources

ISBN: 9781422160640