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Unformatted text preview: Operations Management Session 12: Waiting Lines Session 12 Operations Management 2 Previous Class Understanding the phenomenon of waiting Impact of variability/uncertainty & utilization rate Session 12 Operations Management 3 Objectives Formula/macro for waitingline calculation Practices waiting time using formulas Risk pooling effect in waiting line Session 12 Operations Management 4 M/M/1 Performance Evaluation The arrival rate to the main branch of Key bank is 10 customers per hour. The service rate is 15 customers per hour. Management promise to each consumer that enter the bank and sees more than 3 customers in front of him $10. What is the probability that a customer will get $10? Session 12 Operations Management 5 M/M/1 Performance Evaluation Probability that a customer gets $10 = 1 – Probability that the customer does not get $10 Probability that the customer does not get $10 = Probability of 0 customers + Probability of 1 + Probability of 2 + probability of 3 Session 12 Operations Management 6 M/M/1 Performance Evaluation = + + + = ≤ 3 2 ) 15 10 )( 15 10 1 ( ) 15 10 )( 15 10 1 ( 15 10 ) 15 10 1 ( ) 15 10 1 ( } 3 Pr{ X 78 . 09 . 14 . 22 . 33 . = + + + = The probability of a consumer getting $10 is 10.78 =0.22 On average how much money will the bank pay every hour? 0.22*average number of customers*$10 =$22 Session 12 Operations Management 7 M/M/c Performance Evaluation What if we have c servers? There is no simple equation. But, The book page 304 provides the values for the number of customers in the queue (L q ). How do we calculate the number of customers in the system and the waiting time in the queue and in the system? Session 12 Operations Management 8 What if … What if the waiting line is not M/M/1 or M/M/c?...
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This note was uploaded on 11/09/2009 for the course BUAD 311 taught by Professor Vaitsos during the Fall '07 term at USC.
 Fall '07
 Vaitsos
 Management

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