Loose-leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
Loose-leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
12th Edition
ISBN: 9781259580093
Author: William J Stevenson
Publisher: McGraw-Hill Education
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Chapter 18, Problem 3P

a)

Summary Introduction

To determine: The average time customers spend at the machine, including waiting in line and completing transaction.

Queuing theory: It is a mathematical study of queues or waiting lines. Using queuing model, length of a queue and waiting time can be determined.  In operations management, queuing theory is used for decision making about the resources required to offer services.

b)

Summary Introduction

To determine: Probability that a customer will not have to wait.

c)

Summary Introduction

To determine: Average time customers spend at the machine (Lq)

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Many of a bank’s customers use its automatic teller machine to transact business after normal banking hours. During the early evening hours in the summer months, customers arrive at a certain location at the rate of one every other minute. This can be modeled using a Poisson distribution. Each customer spends an average of 87 seconds completing his or her transactions. Transaction time is exponentially distributed. Determine the following: a. The average time customers spend at the machine, including waiting in line and completing transactions b. The probability that a customer will not have to wait upon arriving at the automatic teller machine c. The average number waiting to use the machine
Note: Formulas to solve the following problems are given in the class and example problems were solved in the class. Follow the examples described in the class and read the literature posted on blackboard. 1. Huntsville Bank (a fictitious one) has a drive-through teller window and observed that customers arrive for service one every three minute, on an average, and the average service time per customer is 2.4 minutes. Assume inter-arrival time and service time follow a negative Exponential distribution. The bank hires you as a consultant. You guess that this is an M|M|1 system and you are required to determine the following: a. Probability (teller is busy) b. Probability (teller is idle) c. Average number of customers waiting for service, that is, number of autos in the line excluding the one at the teller window. d. Average number of customers in the system, that is, number of autos in the line including the one at the teller window. e. Average time a customer spends in the waiting…
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