schedule how many telephone operators for each shift. W. L. Brown predicts that a discrete probability distribution in the excel template file can describe the number of phone calls received per hour of a typical eight-hour shift. Each operator spends $20 per hour and handles 15 calls. The corporation loses $6 per unanswered call. Simulate the number of operators that minimizes the projected hourly cost (labor costs plus lost revenues) for 6, 8, 10, 12, 14, or 16 operators.
schedule how many telephone operators for each shift. W. L. Brown predicts that a discrete probability distribution in the excel template file can describe the number of phone calls received per hour of a typical eight-hour shift. Each operator spends $20 per hour and handles 15 calls. The corporation loses $6 per unanswered call. Simulate the number of operators that minimizes the projected hourly cost (labor costs plus lost revenues) for 6, 8, 10, 12, 14, or 16 operators.
Operations Research : Applications and Algorithms
4th Edition
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Wayne L. Winston
Chapter16: Probabilistic Inventory Models
Section16.7: The Eoq With Uncertain Demand: The Service Level Approach To Determining Safety Stock Level
Problem 3P
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- Brown, a direct marketer of women's clothes, must schedule how many telephone operators for each shift. W. L. Brown predicts that a discrete probability distribution in the excel template file can describe the number of phone calls received per hour of a typical eight-hour shift. Each operator spends $20 per hour and handles 15 calls. The corporation loses $6 per unanswered call. Simulate the number of operators that minimizes the projected hourly cost (labor costs plus lost revenues) for 6, 8, 10, 12, 14, or 16 operators.
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