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Q 2c18. Ms. Case is interested in setting up a screening experiment to identify

ID: 2908452 • Letter: Q

Question

Q 2c18.

Ms. Case is interested in setting up a screening experiment to identify significant (and in significant) factors affecting warehouse throughput. Three factors have been identified:

Retief practice for staff        (Mass relief vs. tag relief)

Machine availability             (3 or 4 automatic storage and retrieval systems)

Staffing levels (30 or 35 FTEs)

Assume that Ms. Strange has completed five replications of the eight runs laid out in the factorial design matrix in (a).

You get the following results:

RUN

Rep 1

Rep 2

Rep 3

Rep 4

Rep 5

Sum

Avg

Var

1

4014

4016

4011

4015

4018

20074

4024.38

6.70

2

4021

4014

4012

4014

4013

20074

4025.74

12.70

3

4014

4016

4017

4018

4015

20080

4027.57

2.50

4

4017

4014

4014

4018

4015

20078

4029.88

3.30

5

4033

4034

4034

4034

4032

20167

4033.45

0.80

6

4034

4032

4032

4032

4036

20166

4033.47

3.20

7

4031

4031

4031

4034

4032

20159

4033.60

1.70

8

4034

4037

4034

4035

4037

20177

4044.40

2.30

1) Determine which of three factors are significant, using an Analysis of Variance (ANOVA) model and an ? value of 0.05?

2) Can you say anything about interaction between any of the factors?

3) Assuming that more throughput is desirable, determine the overall best setting of the three factors to optimize performance?

To assist in your calculations, you may assume that the Grand Sum of overall runs and replication is 160,975 and that the variance of the entire sample is 88.86.

NOTE: This question is for Industrial Engineering stream for Simulation & Modelling Analysis subject. Please help in answering all 1, 2, and 3 sections.

RUN

Rep 1

Rep 2

Rep 3

Rep 4

Rep 5

Sum

Avg

Var

1

4014

4016

4011

4015

4018

20074

4024.38

6.70

2

4021

4014

4012

4014

4013

20074

4025.74

12.70

3

4014

4016

4017

4018

4015

20080

4027.57

2.50

4

4017

4014

4014

4018

4015

20078

4029.88

3.30

5

4033

4034

4034

4034

4032

20167

4033.45

0.80

6

4034

4032

4032

4032

4036

20166

4033.47

3.20

7

4031

4031

4031

4034

4032

20159

4033.60

1.70

8

4034

4037

4034

4035

4037

20177

4044.40

2.30

Explanation / Answer

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