A small coffee shop is trying to figure out how many dozens of bagels to bake...
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A small coffee shop is trying to figure out how many dozens of bagels to bake each morning. The probability distribution of the number of bagel customers is as in the Customer Distribution table. Customers order 1, 2, 3, or 4 dozen bagels according to the Orders Distribution table. Usually, the shop bakes bagels in 5-dozens patches. Bagels sell for $8.40 per dozen. They cost $5.80 per dozen to make. All bagels not sold at the end of the day are donated to charity. Based on 5 days of simulation, how many dozen (to the nearest 5 dozen) bagels should be baked each day? DO THE SIMULATION MANUALLY!! Fill the simulation table up to the fifth day only. Daily Profit (Dozen Selling Price x No. of dozen bagels sold in the day) - (Dozen Cost x No. of bagels baked that day) Bagels baked for the day = No. of dozen bagels sold in the day, rounded up to the nearest 5 Output Metrics Total Avg. Daily Profit Profit Your Decision: Total Sold Avg. Sold Dozens Dozens RN for Customers RN for Orders / Day / Customer 0.577641888 0.355333236 0.139540415 0.58870629 0.950110204 0.659151851 0.915826636 0.056962836 0.185813124 0.364569735 Customers Distribution Customer / day 2 3 Day 5 Bagel cost (per dozen) 1 2 3 4 Probability 01 0.35 0.3 0.25 0.1 Customers for the Day Cumulative Probability 8.4 Bagel Customer # ordered (Dozens) Orders Distribution Number of Dozens ordered by Customers Simulation Table 1 3 4 Probability Bagel sells (per dozen) # of Bagel Dozens sold for the day 0.4 0.3 0.2 0.1 Prev. Column rounded up to nearest 5 Cumulative Probability 5.8 Daily Profit A small coffee shop is trying to figure out how many dozens of bagels to bake each morning. The probability distribution of the number of bagel customers is as in the Customer Distribution table. Customers order 1, 2, 3, or 4 dozen bagels according to the Orders Distribution table. Usually, the shop bakes bagels in 5-dozens patches. Bagels sell for $8.40 per dozen. They cost $5.80 per dozen to make. All bagels not sold at the end of the day are donated to charity. Based on 5 days of simulation, how many dozen (to the nearest 5 dozen) bagels should be baked each day? DO THE SIMULATION MANUALLY!! Fill the simulation table up to the fifth day only. Daily Profit (Dozen Selling Price x No. of dozen bagels sold in the day) - (Dozen Cost x No. of bagels baked that day) Bagels baked for the day = No. of dozen bagels sold in the day, rounded up to the nearest 5 Output Metrics Total Avg. Daily Profit Profit Your Decision: Total Sold Avg. Sold Dozens Dozens RN for Customers RN for Orders / Day / Customer 0.577641888 0.355333236 0.139540415 0.58870629 0.950110204 0.659151851 0.915826636 0.056962836 0.185813124 0.364569735 Customers Distribution Customer / day 2 3 Day 5 Bagel cost (per dozen) 1 2 3 4 Probability 01 0.35 0.3 0.25 0.1 Customers for the Day Cumulative Probability 8.4 Bagel Customer # ordered (Dozens) Orders Distribution Number of Dozens ordered by Customers Simulation Table 1 3 4 Probability Bagel sells (per dozen) # of Bagel Dozens sold for the day 0.4 0.3 0.2 0.1 Prev. Column rounded up to nearest 5 Cumulative Probability 5.8 Daily Profit
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Managing Supply Chain and Operations An Integrative Approach
ISBN: 978-0132832403
1st edition
Authors: Thomas Foster, Scott E. Sampson, Cynthia Wallin, Scott W Webb
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