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Please help me solve this problem... Thank you. Problem: GB Computer Services re

ID: 3042682 • Letter: P

Question

Please help me solve this problem... Thank you.

Problem:

GB Computer Services repairs and services personal computer at its store, and it makes local service calls. It primarily uses part-time university students as technicians. The firm has had a steady growth since it started. Managers purchase generic computer parts in volume at a discount from variety of sources whenever they see a good deal. Thus, they need a good forecast of demand for repairs so that they will know how many computer component parts to purchase and stock, and how many technicians to hire.

The company has accumulated the demand data shown in the table below for repair and service calls for the past 12 months, from which it did consider simple exponential smoothing using a smoothing constant alpha = 0.3, and using the demand of period 1 as both demand and forecast for period 1 (i.e. F1 = A1)

Period

Month

Demand for Repair and Service Calls

Forecast

1

January

37

2

February

40

37.000

3

March

41

37.900

4

April

37

38.830

5

May

45

38.281

6

June

50

40.297

7

July

43

43.208

8

August

47

43.145

9

September

56

44.302

10

October

52

47.811

11

November

55

49.068

12

December

54

50.848

a) Construct a Control Chart to monitor the forecast accuracy using control limits of ± 3 (i.e. = standard deviation). Show your work.

b) Is the forecast performing adequately? Explain.

Period

Month

Demand for Repair and Service Calls

Forecast

1

January

37

2

February

40

37.000

3

March

41

37.900

4

April

37

38.830

5

May

45

38.281

6

June

50

40.297

7

July

43

43.208

8

August

47

43.145

9

September

56

44.302

10

October

52

47.811

11

November

55

49.068

12

December

54

50.848

Explanation / Answer

Month Actual demand Forecast Jan 37 Feb 40 37 Mar 41 37.9 Apr 37 38.83 May 45 38.281 Jun 50 40.297 Jul 43 43.208 Aug 47 43.415 Sep 56 44.302 Oct 52 47.811 Nov 55 49.068 Dec 54 50.848 Mean 46.42 Sigma 6.93 UCL 67.22 Mean +3*Sigma LCL 25.61 Mean -3*Sigma As we see that all the forecast values are within the control limits so it is under control