Exam (elaborations)
OM Exam WT1112
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Operations Management, Supply Chain Management
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University of MünsterExamination board of the School of Business and Economics
Examination
as part of the Bachelor examination in Business Administration, Economics and
Information Systems (PO 2005, PO 2010)
Course: Operations Management
Date: Wednesday, 22.02.2012, 09:00 to 10:30 a.m.
Examinant: Prof. Dr.-Ing. Bernd Hellingrath
Editing time: 90 minutes
___________________________________________________________________________
Matriculation number: Course of studies:
Examination regulations: Semester:
Name: First name:
Lecture room: Line: Seat:
Allowed aids:
Solar- or battery conducted, no programmable calculator, writing utensils, dictionary and
formulary given out with the exam. There are no other allowed additives. You are not allowed
to use your own concept paper. If you use not allowed aids, you will excluded from exam.
The exam booklet consists (without cover) of 19 pages.
___________________________________________________________________________
Task 1 2 3 4 5 6
max. points 20 11 19 14 10 16 90
achieved
Grade: Signature:
, 1
General Advice
– In general, round off to four digits, e.g. 0.9342 or 93.42%, if not stated otherwise in the
task description. Alternatively, you may give your intermediate and final results as
!
fractions.
–
–
Your calculations should be given clear and comprehensible; including all necessary
formulas, even if they are given in the formulary.
In case of lack of space, you may write on the pages’ back side.
!
1. Demand forecasting (20 points)
a) Name three characteristics of good forecasts. (1.5 points)
b) Name two advantages and disadvantages each for sales estimation. (2 points)
c) What is a structural forecasting error? (1 point)
, 2
d) Linear Regression (5 points)
A manufacturer for air conditioning systems has determined the following values for the
relation between sold air conditioning systems and the expected demand for maintenance
service:
Installed Requested
Air Conditioning Systems [Quantity] Maintenance Hours [Hours / Year]
1 10
10 45
25 60
50 100
100 230
150 380
200 470
Perform a linear regression analysis and state the resulting function. The dependent
variable is the demand for maintenance service.
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