Operations Management (McGraw-Hill Series in Operations and Decision Sciences)
Operations Management (McGraw-Hill Series in Operations and Decision Sciences)
12th Edition
ISBN: 9780078024108
Author: William J Stevenson
Publisher: McGraw-Hill Education
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Chapter 4.S, Problem 12P

An electronic chess game has a useful life that is exponential with a mean of 30 month. Determine each of the following:

a. The probability that any given unit will operate for at least (1) 39 months. (2) 48 men the (3) 60 months.

b. The probability that any given unit will fail sooner than (1) 33 months. (2) 15 months. (3) 6 months.

c. The length of service tune after which the percentage of tilled units will approximately equal (1) 50 percent, (2) 85 percent, (3) 95 percent, (4) 99 percent.

a)

Expert Solution
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Summary Introduction

To determine: The probability the unit will operate at least for the following times.

Introduction:

Mean time between failures (MTBF):

The mean time between failures is a term which denotes the time that is elapsed between the first failure of a product and the second failure of a product. It is calculated during the normal system operation.

Answer to Problem 12P

The probability the unit will operate at least for the following times are:

1) 39 months = 0.2725

2) 48 months = 0.2019

3) 60 months = 0.1353

Explanation of Solution

Given information:

MTBF = 30 months

Formula to calculate the probability of no failure before a time period:

Probability=e-TMTBF

Calculation of probability:

1) 39 months:

TMTBF=3930=1.3

Probability=e-TMTBF=e-1.3=0.2725

Hence, the probability the unit will operate at least for the 39 months is 0.2725.

2) 48 months:

TMTBF=4830=1.6

Probability=e-TMTBF=e-1.6=0.2019

Hence, the probability the unit will operate at least for the 48 months is 0.2019.

3) 60 months:

TMTBF=6030=2

Probability=e-TMTBF=e-2=0.1353

Hence, the probability the unit will operate at least for the 60 months is 0.1353.

b)

Expert Solution
Check Mark
Summary Introduction

To determine: The probability the unit will fail before the following times.

Introduction:

Mean time between failures (MTBF):

The mean time between failures is a term which denotes the time that is elapsed between the first failure of a product and the second failure of a product. It is calculated during the normal system operation.

Answer to Problem 12P

The probability the unit will fail before the following times are:

1) 33 months = 0.6671

2) 15 months = 0.3935

3) 6 months = 0.1813

Explanation of Solution

Given information:

MTBF = 30 months

Formula to calculate the probability of failure before a time period:

Probability=1-e-TMTBF

Calculation of probability:

1) 33 months:

TMTBF=3330=1.1

Probability=1-e-TMTBF=1-e-1.1=1-0.3329=0.6671

Hence, the probability the unit will fail before 33 months is 0.6671.

2) 15 months:

TMTBF=1530=0.5

Probability=1-e-TMTBF=1-e-0.5=1-0.6065=0.3935

Hence, the probability the unit will fail before 15 months is 0.3935.

3) 6 months:

TMTBF=630=0.2

Probability=1-e-TMTBF=1-e-0.2=1-0.8187=0.1813

Hence, the probability the unit will fail before 6 months is 0.1813.

c)

Expert Solution
Check Mark
Summary Introduction

To determine: The length of service time for the percentage of failed units.

Introduction:

Mean time between failures (MTBF):

The mean time between failures is a term which denotes the time that is elapsed between the first failure of a product and the second failure of a product. It is calculated during the normal system operation.

Answer to Problem 12P

The length of service time for the percentage of failed units is:

1) 50 percent = 21 months.

2) 85 percent = 57 months.

3) 95 percent = 90 months.

4) 99 percent = 138 months.

Explanation of Solution

Given information:

MTBF = 30 months

Formula to calculate the probability of no failure before a time period:

Probability=e-TMTBF

Calculation of probability:

Operations Management (McGraw-Hill Series in Operations and Decision Sciences), Chapter 4.S, Problem 12P

The different probabilities are obtained from the above table.

1) 50 percent:

Probability of no failure=1-0.50=0.50

Probability=e-TMTBF0.50=e-TMTBF

From the table for the value of 0.50 is equivalent to:

TMTBF=0.70

Therefore,

T30=0.70T=0.70×0.30=21 months

Hence, the length of service time for the percentage of failed units is 21 months.

2) 85 percent:

Probability of no failure=1-0.85=0.15

Probability=e-TMTBF0.15=e-TMTBF

From the table for the value of 0.15 is equivalent to:

TMTBF=1.90

Therefore,

T30=1.90T=1.90×0.30=57 months

Hence, the length of service time for the percentage of failed units is 57 months.

3) 95 percent:

Probability of no failure=1-0.95=0.05

Probability=e-TMTBF0.05=e-TMTBF

From the table for the value of 0.05 is equivalent to:

TMTBF=3.00

Therefore,

T30=3.00T=3.00×0.30=90 months

Hence, the length of service time for the percentage of failed units is 90 months.

4) 99 percent:

Probability of no failure=1-0.99=0.01

Probability=e-TMTBF0.01=e-TMTBF

From the table for the value of 0.01 is equivalent to:

TMTBF=4.60

Therefore,

T30=4.60T=4.60×0.30=138 months

Hence, the length of service time for the percentage of failed units is 138 months.

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Operations Management (McGraw-Hill Series in Operations and Decision Sciences)

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