University of Münster
Examination board of the School of Business and Economocs
Examination
as part of the Bachelor examination in Business Administration, Economics and
Information Systems (PO 2005, PO 2010)
Course: Operations Management
Date: Thursday, 14.02.2013, 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 of 19 pages(without cover).
task 1 2 3 4 5 6 7
max. points 19 11 16 14 8 18 4 90
achieved
Grade: Signature of the examinant:
, 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 (19 points)
a. Name four types of time serious based forecast methods that were presented in the
lecture. Moreover, attach to each forecasting method the kind of demand behaviour
that will be most suitable explained by it. (2 points)
b. Explain the main idea of the simple exponential smoothing for demand forecasting.
Define the difference between the exponential smoothing and the moving average.
What is the effect of parameter related to the forecast? (2 points)
, 2
c. Explain shortly the purpose of tracking signals. If you use the simple exponential
smoothing for a demand development with a negative trend, what is the value of the
tracking signal by trend? (1 point)
d. Linear Regression (5 points)
A producer of car wash systems illustrates the correlation between car wash systems
sold and the demand for service with the following data:
Installed car wash systems (quantity) Service demand
(h/year)
1 30
10 45
30 60
50 150
100 210
150 320
200 420
Perform a linear regression analysis and state the resulting function. The dependent
variable is the service demand.
Examination board of the School of Business and Economocs
Examination
as part of the Bachelor examination in Business Administration, Economics and
Information Systems (PO 2005, PO 2010)
Course: Operations Management
Date: Thursday, 14.02.2013, 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 of 19 pages(without cover).
task 1 2 3 4 5 6 7
max. points 19 11 16 14 8 18 4 90
achieved
Grade: Signature of the examinant:
, 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 (19 points)
a. Name four types of time serious based forecast methods that were presented in the
lecture. Moreover, attach to each forecasting method the kind of demand behaviour
that will be most suitable explained by it. (2 points)
b. Explain the main idea of the simple exponential smoothing for demand forecasting.
Define the difference between the exponential smoothing and the moving average.
What is the effect of parameter related to the forecast? (2 points)
, 2
c. Explain shortly the purpose of tracking signals. If you use the simple exponential
smoothing for a demand development with a negative trend, what is the value of the
tracking signal by trend? (1 point)
d. Linear Regression (5 points)
A producer of car wash systems illustrates the correlation between car wash systems
sold and the demand for service with the following data:
Installed car wash systems (quantity) Service demand
(h/year)
1 30
10 45
30 60
50 150
100 210
150 320
200 420
Perform a linear regression analysis and state the resulting function. The dependent
variable is the service demand.
