name : matr - wzl.rwth-aachen.de · page 1 matr.-no. : pm a task 1 page 1 pm a task 1, 20 points...
TRANSCRIPT
PM A Task 1 Name :
Page 1 Matr.-No. :
PM A Task 1 Page 1
PM A Task 1, 20 Points
You are working as a product manager for a fridge manufacturer. To get new market
share in niche markets you are planning the market launch of a new fridge variant for
your product line as a reaction concerning sinking sales volumes in your existing
market. For this reason you are making a variant analysis to compare two product
concepts for the projected new fridge variant concerning their suitability.
a) A member of the development department with expertise in variant management
gives you the advice, not to trap into the vicious circle of complexity manage-
ment. What does he mean by giving you the advice? Explain the vicious circle of
complexity management and the resulting danger in short sentences. (3 points)
A rising variety in the product line mostly goes along with the sales activities in
niche markets (0.5 points). The costs that depend on the rising variety are get-
ting intransparent (0.5 points). In this case it is no longer traceable, which variant
causes which costs (0.5 points). The higher costs of exotic variants become sub-
sidised by the standard product line (0.5 points). This subsidisation results in a
competitive disadvantage towards competitors that offer a less variant-rich prod-
uct line (0.5 points). As a result of the sinking competitiveness the sales volumes
of the standard product variants decrease and so the vicious circle begins again
(0.5 points).
PM A Task 1 Name :
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b) In the existing product line you offer fridges that are 85 cm, 140 cm and 180 cm
high. The fridges also differ in their energy efficiency, divided in the categories
A+, A and B. The customer can order fridges with glass or metal shelves. The
fridges can optionally have freezing compartments. In this case the customer can
decide between middle or premium class freezing compartments. Between how
many fridge variants could the customer choose by a free combination of all the
named product attributes and specifications? (1 point)
The theoretical number of variants is the product of the number of specifications
for each attribute.
Height: 80 cm, 140 cm or 180 cm > 3 specifications
Energy efficiency category: A+, A or B > 3 specifications
Fridges shelves: glass or metal > 2 specifications
Freezing compartment: without, middle class or premium class > 3 specifications
Theoretical number of variants: 3 * 3 * 2 * 3 = 54
(1 point for the right number)
c) In real the fridge manufacturer offers fewer variants on market. As a restriction of
the marketing, fridges with energy efficiency category A must always have a glass
shelf and a premium class freezer compartment (restriction 1). Fridges with en-
ergy efficiency category B only can have a middle class freezer compartment,
when they also have a metal shelf (restriction 2). And at least fridges that are 80
cm high have no freezer compartment (restriction 3). Please name the number
of variants that can be cancelled in case of each mentioned restriction. Name the
totally number of cancelled variants considering all restrictions together.
(6 points)
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In case of the mentioned restrictions following variants can be cancelled:
Cancelled variants in case of restriction 1:
variantenergy efficiency
categoryshelf
freezer
compartmentheight double named
1 A+ metal shelf without 80 cm
2 A+ metal shelf without 140 cm
3 A+ metal shelf without 180 cm
4 A+ metal shelf middle class 80 cm 23
5 A+ metal shelf middle class 140 cm
6 A+ metal shelf middle class 180 cm
7 A+ metal shelf premium class 80 cm 24
8 A+ metal shelf premium class 140 cm
9 A+ metal shelf premium class 180 cm
10 A+ glass shelf without 80 cm
11 A+ glass shelf without 140 cm
12 A+ glass shelf without 180 cm
13 A+ glass shelf middle class 80 cm 25
14 A+ glass shelf middle class 140 cm
15 A+ glass shelf middle class 180 cm
Cancelled variants in case of restriction 2:
variantenergy efficiency
categoryshelf
freezer
compartmentheight double named
16 B glass shelf middle class 80 cm 21
17 B glass shelf middle class 140 cm
18 B glass shelf middle class 180 cm
Cancelled variants in case of restriction 3:
variantenergy efficiency
categoryshelf
freezer
compartmentheight double named
19 B metal shelf middle class 80 cm
20 B metal shelf premium class 80 cm
21 B glass shelf middle class 80 cm 16
22 B glass shelf premium class 80 cm
23 A+ metal shelf middle class 80 cm 4
24 A+ metal shelf premium class 80 cm 7
25 A+ glass shelf middle class 80 cm 13
26 A+ glass shelf premium class 80 cm
27 A metal shelf middle class 80 cm
28 A metal shelf premium class 80 cm
29 A glass shelf middle class 80 cm
30 A glass shelf premium class 80 cm
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In case of restriction 1 in sum 15 variants can be cancelled. In case of restriction
2 in sum 3 variants can be cancelled. In case of restriction 3 in sum 13 variants
can be cancelled (1.5 points for the right number for each restriction). By
combination of all restrictions 26 variants can be cancelled (1 point).
d) The projected new fridge variant is an exclusive version of your mostly sold fridge
model „Economy 180-4*“. This model is 180 cm high, has a premium class
freezer compartment, metal shelves and the energy efficiency category A. For this
model you calculated a technical rating XT of 60% and an economical rating
XW of 75%. Please name the right formula to calculate the technical and econom-
ical rating. (1 point)
0.5 points for each right formula
n
i i
n
i i i
G
XT G
1
1
) (
n
i i
n
i i i
G
XW G
1
1
) (
technical rating XT =
economical rating XW =
with n = number of sub functions
with n = number of sub functions
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e) The projected new fridge variant „Economy 180-4* AntiBac“ differs in compari-
son to the old model „Economy 180-4*“ in the fact, that it has a new antibacterial
protection layer. That is the reason why the technical rating of the new variant is a
quarter higher than the old model. By using the following formula you can calcu-
late the maximum allowed manufacturing costs KH of a complete assembled
fridge as a function of the economical rating XW.
KH [€] = 225 - 1,2 * Xw [%]
Please calculate the maximum allowed manufacturing costs of the new variant
„Economy 180-4* AntiBac“ in the case, that by using Kesselring‘s S-graph
(figure 1) the new variant is as advantageous as the old model. (2 points)
0 20 40 60 80 100
020
40
60
80
100
Economical rating
Te
ch
nic
alra
tin
g
Economy 180-4* AntiBac
Economy 180-4*
Figure 1: Kesselring’s S-graph
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The technical rating of the new model is 60% * 1.25 = 75% (0.5 points for the
right result). The economical rating of the new model is 60% as a result of the
circular arc method under the assumption of the indifference of both solutions
(1 point for the right result, a mathematical result is also possible). The max-
imum value for the production cost is 153 € (0.5 points the right result).
f) In table 2 you will find a detailed overview of the used component parts of the
fridge model series with 180cm height, their part numbers and unit costs as well
as the assembly time of the component parts for one person (labour costs 40€/h).
One assembly operator is needed for each fridge. The manufacturing costs of the
old fridge model „Economy 180-4*“ are 130 €. You can choose between two so-
lutions to realise the antibacterial protection layer:
Solution 1: You can assemble a new fridge box as a result of an innova-
tive technology (Component part 1.2). The wall is covered with an anti-
bacterial protection layer in comparison to the old fridge box (Component
part 1.1). The layer will be coated during the manufacturing process of the
fridge box.
Solution 2: The interior of the fridge will be lined with an antibacterial pro-
tection layer in the last assembly step.
Which solution fulfils the requirements of exercise part e)? Hint: If you cannot
solve exercise part e) the maximum production costs KH are 150€! Please calcu-
late the manufacturing costs for both alternatives and explain your decision!
(2.5 points)
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No. Costs [€] No. Costs [€] No. Costs [€]
Box 1.1 20 1.2 35 ... ... 3
Compressor 2.1 25 2.2 29 … … 6
Reverse side cooling pipe 3.1 10 3.2 12 3.3 14 10
Reverse side isolation 4.1 6 4.2 3 … … 3
Heat exchanger 5.1 5 5.2 8 ... ... 3
Door seal 6.1 9 6.2 6 ... ... 5
Door 7.1 12 ... ... ... ... 3
Rack 8.1 8 8.2 15 ... ... 1
Antibacterial protection layer 9.1 15 … … ... ... 15
DescriptionComponent Parts Assembly
Time [min.]
Table 2: component parts, costs and assembly time of the fridge model range
The manufacturing costs for the new fridge are 145 € if you choose solution 1 be-
cause you have to add only the additional charge of the new fridge box of 15 € to
the old costs (1 point for the right solution). The manufacturing costs for solu-
tion 2 are 155 €. You have to add the costs for the protection layer of 15 € and
the assembly costs of 10 € (1 point for the right solution). Only solution 1 fulfils
the requirements of exercise part e) (0.5 Points for the right decision).
PM A Task 1 Name :
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g) Which solution can be described by an early variant origination point in terms of
the variant tree and which solution can be described by a late variant origination
point? Please explain your answer! (1.5 points)
Solution 1 has an early variant origination point; solution 2 has a late variant orig-
ination point. (0,5 points). Solution 1 differs between assembly variants with an
antibacterial protection layer (component part 1.1) and assembly variants without
an antibacterial protection layer (component part 1.2) in the first assembly step
(0.5 points). The variance of solution 2 will be created in the last assemby step
through the laying-up with an antibacterial protection layer (0.5 points).
h) Please explain, what kind of product structure design fits the new fridge box
(component part 1.2) most: Differential design or integral design? (1 point)
The new fridge box is related to the integral design (0.5 points), because the
fridge box integrates different product functions (isolation, antibacterial protection)
in one component part (0.5 points).
PM A Task 1 Name :
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i) For the development of a new fridge box the manufacturer has used the TRIZ-
method for the first time. Please name four important characteristics of technical
problem solving, which are used by the TRIZ-method! (2 points)
– A systematic problem analysis leads to problem solving in many cases
(0.5 points)
– The contradiction is a central element of technical problems which lead to
innovations (0.5 points)
– Many problems have existing solutions in different branches and disciplines
with different names (0.5 points)
– The development of technical systems to an ideal product follows specific
rules (0.5 points)
PM A Task 2 Name :
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PM A Task 2 page 1
PM A Task 2, 20 Points
Due to your excellent education at RWTH Aachen you start a career in a middle-
sized mechanical engineering company. After a short time you are the assistant of
the executive production manager and responsible for all the tasks of material man-
agement and job control.
a) After a while in your new position, you realize that your boss lacks basic
knowledge of material management. Because of that, he asks you to prepare a
short presentation for him in order to clarify the following aspects: (10 Points)
1) Please name three basic planning tasks of materials management. (0,75
Points: 0,25 Points each correct term, PM A L 8 P. 6)
1. Materials Procurement Planning
2. Materials Requirement Planning
3. Materials Stock Planning
2) Please address now possible target conflicts of materials management.
Therefore name at first four requirements of materials management. Indicate
for every requirement the effects on „lot size“ and „stock“ by using only the
„▲“ (upward arrow) and „▼“ (downward arrow). (2 Points: 0,5 points for
each correct requirement AND BOTH effects. If only one require-
ment/effect is missing: 0,25 Points; PM A L 8 P. 7)
Requirement: low capital commitment
Effect on lot size: „▼“
Effect on stock:„▼“
PM A Task 2 Name :
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Requirement: low requirement for space
Effect on lot size: „▼“
Effect on stock:„▼“
Requirement: Rational manufacture
Effect on lot size: „▲“
Effect on stock: „▲“
Requirement: High availibility
Effect on lot size: „▼“
Effect on stock: „▲“
3) Please name the five steps of the procedure for stochastic requirements plan-
ning. (1,25 Points: 0,25 Points for each correct term, PM A L 8 P. 20)
1. Record of time series
2. Determine the consumption model
3. Select the method
4. Draw up the demand forecast
5. Evaluate forecast quality
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4) The Production Manager thanks you for your presentation, but he did not un-
derstand the order point method completely. So please show the effective
stock progression by the time using the table below. Complete the table by en-
tering the progression of the actual stock and the available stock! The starting
stock is at 400 pieces. (1,5 Points: 0,75 points for each complete and cor-
rect column, 0,25 points together for three correct values in a column)
WD Task Actual Stock
(pieces)
Available Stock
(pieces)
82 Starting Stock 400 400
83 Outbound movement
50 pieces
375 375
85 Outbound movement
150 pieces
225 225
86 Reservation of 75
pieces for WD 90
225 150
87 Reservation of 50
pieces for WD 91
225 100
90 Outbound movement
75 pieces
150 100
91 Outbound movement
50 pieces
100 100
93 Reservation of 25
pieces for WD 97
100 75
97 Outbound movement
25 pieces
75 75
5) Mark the acquired values in the diagram! (1,5 Points: 0,75 points for each
complete and correct graph)
PM A Task 2 Name :
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PM A Task 2 page 4
Diagram for task 2 a) 5):
8283
8485
8687
8889
9091
9293
9495
9697
98
300
250
200
150
100
50
400
350
Stock
[pieces]
WD
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6) After your boss has realized, that you are able to make him familiar with the
theoretical basics of material management, he has got another task for you.
He asks you to recommend a forecasting method for a product with a given
consumption. Please extrapolate the requirement for the coming periods using
the Floating mean value (n = 3) and Exponential smoothing of the 1st order (α
= 0.3) rounded on one position after decimal point. Please determine as well
the difference of your calculated extrapolations from the actual consumptions.
Sum up the single deviations per method. Recommend on basis of the devia-
tion sum one forecasting method. (3 points: 0,25 points for each value and
each sum of deviation, 0,5 for the answer)
Formula Floating mean value: Fehler! Es ist nicht möglich, durch die Be-
arbeitung von Feldfunktionen Objekte zu erstellen.
Formula Exponential smoothing of the 1st order: Fehler! Es ist nicht mög-
lich, durch die Bearbeitung von Feldfunktionen Objekte zu erstellen.
Period t Consumption Vt Forecast Pt+1 Period t Consumption Vt Forecast Pt+1
0 89 90 0 89 90
1 96 97 1 96 97
2 104 96,3 2 104 99,1
3 97 99,0 3 97 98,5
4 105 102,0 4 105 100,5
5 109 103,7 5 109 103,1
Floating mean value (n = 3) Exponential smoothing (α = 0,3)
Difference:
Fl. MV: 0,7+6,0+7,0 = 13,7 ExpSm.: 2,1+6,5+8,5 = 17,1
Recommendation:
The forecasting method of the Floating mean value extrapolates the given con-
sumption better, than the exponential smoothing, since the difference sum is
smaller.
PM A Task 2 Name :
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b) Effective dates for capacities are the result of the flow scheduling as a part of
the production requirement planning. These effective dates for capacities are
the basis for the following task of capacity planning. (2 points)
1) Which is the main objective of capacity planning? (0,5 Points) L07 – page
22
Within capacity planning, the distribution of activities among the individual
units of capacity is optimised, under consideration of the load limitations.
2) Which two basic measures exist for realizing the main objective of capacity
planning? (0,5 Points) L07 – page 24
1: capacity harmonisation
2: capacity adjustment
3) During the flow scheduling it is also possible to consider capacity limits or
constraints that occurred due to competing orders. Name and illustrate now
(by using key words) the characteristics of the for this purpose appropriate
scheduling method. How is this scheduling method conducted in combina-
tion with other scheduling methods? (1 Point; 0,25 Points for the right
nomination of the method; 0,5 Points for the right illustration; 0,25
Points for the right appropriation of the method) L07 – page 22
capacity-oriented scheduling
Within capacity-oriented scheduling, the mutual dependency between or-
ders and therefore between capacity limits is considered.
As a rule, at first order-oriented then capacity-oriented scheduling is con-
ducted.
PM A Task 2 Name :
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c) Your company receives a profitable but also urgent order. The production
manager already calculated the delivery date by forward scheduling. Further-
more he is interested in the latest possible start dates for all parts and the as-
sembly. Calculate these dates by applying the backward scheduling without
taking capacities into account. Please mark for every working step in your dia-
gram on which machine it is performed. Also name all parts and components
that determine the critical path! (2 points: Backward-Scheduling 1,5 points –
0,5 points devaluation per mistake and if machines are not marked, 0,5
points critical path)
In production the following basic assumptions apply:
• The company possesses 3 different types of machines M1, M2 and M3
• The transition time between 2 machines in manufacturing is 2 hours
• The transition time of the individual parts or the modules to final or subas-
sembly is 3 hours
• You have one operator available per machine. In subassembly two workers
can assemble up to two modules simultaneously.
The product has the following structure:
E
BG2BG1
T2T1 T3 T4
E
BG2BG1
T2T1 T3 T4
PM A Task 2 Name :
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Process sheets for all products and components are shown in following tables:
3 hVM2Subassembly BG210
DurationLocationDescriptionAG
Demand: 1 workerWorkplan BG2
3 hVM2Subassembly BG210
DurationLocationDescriptionAG
Demand: 1 workerWorkplan BG2
7 h H2 Final assembly E 10
Duration Location Description AG
Demand: 1 worker Workplan E
H2 Final assembly E 10
Duration Location Description AG
Demand: 1 worker Workplan E
4 h VM1 Subassembly BG1 10
Duration Location Description AG
Demand: 1 worker Workplan BG1
VM1 Subassembly BG1 10
Duration Location Description AG
Demand: 1 worker Workplan BG1
2 h M3 Drilling 30
1 h M2 Milling 20
2 h M1 10
Duration Location
Workplan T1
Turning
Description AG
M3 Drilling 30
M2 Milling 20
M1 10
Duration Location
Workplan T1
Turning
Description AG
2 h M2 Milling 20
3 h M1 Sawing 10
Duration Location Description AG
Workplan T2
M2 Milling 20
M1 Sawing 10
Duration Location Description AG
Workplan T2
3 h M2 Milling 20
2 h M1 Sawing 10
Duration Location Description AG
Workplan T3
M2 Milling 20
M1 Sawing 10
Duration Location Description AG
Workplan T3
5 h M3 Drilling 20
4 h M2 Milling 10
Duration Location Description AG
Workplan T4
M3 Drilling 20
M2 Milling 10
Duration Location Description AG
Workplan T4
PM A Task 2 Name :
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0 5 10 15 20 25 30t [h]
T1
T2
T4
BG1
E
Backw
ard
Sc
he
du
lin
gF
orw
ard
Sc
he
du
lin
g
BG2
T3
T1
T2
T4
BG1
E
BG2
T3
M1 M2 M3
M2M1
VM BG1
M2M1
M2 M3
VM BG2
Final Assembly
M2 M3
VM BG2
Final Assembly
M2M1
M1 M2 M3
VM BG1
M2M1
0 5 10 15 20 25 30t [h]
T1
T2
T4
BG1
E
Backw
ard
Sc
he
du
lin
gF
orw
ard
Sc
he
du
lin
g
BG2
T3
T1
T2
T4
BG1
E
BG2
T3
M1 M2 M3
M2M1
VM BG1
M2M1
M2 M3
VM BG2
Final Assembly
M2 M3
VM BG2
Final Assembly
M2M1
M1 M2 M3
VM BG1
M2M1
Parts / Compontens on critical path: T4 – BG2 - E
d) The production manager is very satisfied with your work. Nonetheless he ob-
serves that you have not regarded the machine capacities for scheduling the or-
der. Which machine(s) does he see as bottleneck machine(s) within the backward
scheduling? (0,5 points)
Bottleneck machines (Backward scheduling): M1, M2, M3
PM A Task 2 Name :
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Order
Code
1234
20C20A20A20B
20A20B40B20C
20B20C
XX
08.08.200906.08.200915.08.200910.08.2009
21
43
1 2 3
Targeted
Start DateSequence
Job sequence with load (h)
and work systemsOrder
Code
1234
20C20A20A20B
20A20B40B20C
20B20C
XX
08.08.200906.08.200915.08.200910.08.2009
21
43
1 2 3
Targeted
Start DateSequence
Job sequence with load (h)
and work systems
e) One Strategy in the production control is the Load-Oriented Order Release (BoA).
The following table 1 gives you the devaluation factor your company uses. In ta-
ble 2 the orders after the backward scheduling are given with their due dates and
the necessary ressources. Please use table 2 and 3 to release as many orders
with the BoA principle as possible! (3,5 points: 0,5 points for the correct order,
0,5 points each order in the BoA, 0,25 each correct order release)
1 2 3 4 5
Devaluation
factor1 0,5 0,25 0,125 0,0625
Operation
Table 1 – Devaluation factors
Table 2 – Orders after backward scheduling
Solution:
Table 3 – Result of the Load-Oriented Order Release
Calculation:
Devaluated Work Load (DWL) = Work Load * Devaluation Factor
(Remaining Capacity = Capacity – Devaluated Work Load)
1. Line, Order 2: Machine sequence: ABC
Order
der
-
code
2
1
4
3
20 (9)
10 (
(
- 1)
- ( - )
20 ( - 21)
10 (51)
5 (46)
20 (26)
20 (26)
5 (17)
20 ( - 3)
10 ( - 13)
- ( - )
F
F
X
X
1
2
3
4
A (29) B (61) C (22)
Release
info (F/X) Sequence
Work systems with
remaining capacity (h) Order
der
-
code
2
1
4
3
20 (9)
10 (
(
- 1)
- ( -1)
20 ( - 21)
10 (51)
5 (46)
20 (26)
- (46)
5 (17)
20 ( - 3)
10 ( - 13)
- ( -3)
F
F
X
X
1
2
3
4
A (29) B (61) C (22)
Release
info (F/X) Sequence
Work systems with
remaining capacity (h)
PM A Task 2 Name :
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DWL A: 20 * 1 =20 Remaining Capacity A: 29 - 20 = 9
DWL B: 20 * 0,5 = 10 Remaining Capacity B: 61 - 10 = 51
DWL C: 20 * 0,25 = 5 Remaining Capacity C: 22 - 5 = 17
2. Line, Order 1: Machine Sequence: CAB
DWL C: 20 * 1 =20 Remaining Capacity C: 17 - 20 = -3 (blocked)
DWL A: 20 * 0,5 = 10 Remaining Capacity A: 9 - 10 = -1 (blocked)
DWL B: 20 * 0,25 = 5 Remaining Capacity B: 51 - 5 = 46
3. Line, Order 4: Machine Sequence: BC
DWL B: 20 * 1 = 20 Remaining Capacity B: 46 - 20 = 26
DWL C: no calculation necessary
4. Line, Order 3: Machine Sequence: AB
DWL A: no calculation necessary
DWL B: no calculation necessary
f) Due to computer problems it is required to revise the already released order se-
quence one day after the first order was released for production. The responsible
shop manager tells you, that (solely) the first job of the first released order is al-
ready finished. Use this information to revise the Load-Oriented Order Release. Is
it now possible to release additional orders? (2 points; 1 point for the right cal-
culation, 1 point for the right order release)
Solution:
Calculation:
1. Line, Order 2: Machine sequence: ABC
DWL A: - =0 Remaining Capacity A: 29
DWL B: 20 * 1 = 20 Remaining Capacity B: 61 - 20 = 41
DWL C: 20 * 0,5 = 10 Remaining Capacity C: 22 - 10 = 12
Order -
code
2
1
4
3
- (29)
)
10 (19)
- (19)
)
20 ( - 1)
20 (41)
5 (36)
20 (16)
20 ( - 4)
10 (12)
20 ( - 8)
10 ( - 18)
- ( - 8)
F
F
X
F
1
2
3
4
A (29) B (61) C (22)
Release
info (F/X) Sequence
Work systems with
remaining capacity (h) Order -
code
2
1
4
3
- (29)
)
10 (19)
- (19)
)
20 ( - 1)
20 (41)
5 (36)
20 (16)
20 ( 16)
10 (12)
20 ( - 8)
10 ( - 18)
- ( - 8)
F
F
X
F
1
2
3
4
A (29) B (61) C (22)
Release
info (F/X) Sequence
Work systems with
remaining capacity (h)
PM A Task 2 Name :
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PM A Task 2 page 12
2. Line, Order 1: Machine Sequence: CAB
DWL C: 20 * 1 =20 Remaining Capacity C: 12 - 20 = -8 (blocked)
DWL A: 20 * 0,5 = 10 Remaining Capacity A: 29 - 10 = 19
DWL B: 20 * 0,25 = 5 Remaining Capacity B: 41 - 5 = 36
3. Line, Order 4: Machine Sequence: BC
DWL B: 20 * 1 = 20 Remaining Capacity B: 36 - 20 = 16
DWL C: no calculation necessary
4. Line, Order 3: Machine Sequence: AB
DWL A: 20 * 1= 20 Remaining Capacity A: 19 - 20 = -1 (blocked)
DWL B: 40 * 0,5 = 20 Remaining Capacity B: 36 - 20 = 16
PM I Task 3 Name :
Page 1 Matr.-Nr. :
PM I Task 3 Page 1
PM I Task 3, 10 points
You are an employee in the process optimization department at a supplier for the
automotive industry and working at different production sites. Frequent interruption of
the assembly process, caused by missing parts, at the existing production facility in
Ludwigshafen requires you to adjust the number of kanban containers in the existing
kanban system.
a) You started your work by collecting data on the withdrawal and refill times of the
past few days (table 3-1). Based on this data please calculate the number of kan-
ban containers needed in order to prevent production stops. Please show the
used equations and round the result up to zero digits (3 points).
Also use the following data:
- a working day is 10 hours
- each kanban container contains 15 parts
- formula for calculating the standard deviation:
N
i
i xxN
S1
2
1
1
withdrawal
day / hour
refill
day / hour
difference [h]
6/ 4.82 6/ 9.13 4.31
7/ 2.65 7/ 8.21 5.56
8/ 7.45 9/ 2.16 4.71
7/ 9.71 8/ 1.12 1.41
7/ 0.26 7/ 3.76 3.5
8/ 0.05 8/ 8.83 8.78
Table 3-1: Observed withdrawal and refill times
1. Calculation of the average time between withdrawal and refill of the kanban
inventory at the assembly station (0,5 points)
hhhhhhh
t
N
tt
t
N
i
EiAi
71.46
78.85.341.171.456.531.4
1
PM I Task 3 Name :
Page 2 Matr.-Nr. :
PM I Task 3 Page 2
2. Calculation of the standard deviation (0,5 points)
withdrawal
day / hour
refill
day / hour
difference [h] tti
6/ 4.82 6/ 9.13 4.31 -0.4
7/ 2.65 7/ 8.21 5.56 0.85
8/ 7.45 9/ 2.16 4.71 0
7/ 9.71 8/ 1.12 1.41 -3.3
7/ 0.26 7/ 3.76 3.5 -1.21
8/ 0.05 8/ 8.83 8.78 4.07
44.207.421.13.385.04.016
1
1
1
22222
1
2
S
xxN
SN
i
i
3. Calculation of part consumption (0,5 points)
5 kanban containers with 15 parts each were used between 6/4.82 and 8/7.45
in 22.63h there were x(22.63h) = 75 parts used
in 10h (= 1 day) there were x(10h) = 33.14 parts used
4. Calculation of the average refill quantity for each refill (0,5 points)
partsh
partshxtx h 61.15314.371.41
5. Calculation of the average deviation of the needed refill quantity (0,5 points)
partsh
partshxss htx 09.8314.344.21
6. Calculation of the needed quantity of kanban containers at the workstation
(0,5 points)
container
container
parts
parts
containerperpartsno
Xcontainersno
partspartspartssxX x
58.1
15
7.23
..
7.2309.861.15
2 kanban containers are needed at the workstation
(Exercise 9, task 1.c)
PM I Task 3 Name :
Page 3 Matr.-Nr. :
PM I Task 3 Page 3
After completing your work in Ludwigshafen you are assigned to the site in Braun-
schweig. Here you have to draw the value stream map of a process and design new
concepts for it. In the first step you have drawn the current value stream map shown
in figure 3-1.
Fig. 3-1: Current value stream map
Le
ad t
ime
da
ys
Pro
cessin
g tim
e
sec.
Assem
bly
CT
=90 s
ec.
ST
=5
min
AT
=2700
0 s
ec.
Sh
ippin
g
CT
=50 s
ec.
ST
=0 m
in
AT
=2700
0 s
ec.
21
Mill
ing
CT
=95 s
ec.
ST
=8 m
in
AT
=2700
0 s
ec.
1
Tu
rnin
g
CT
=80 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
1
Sa
win
g
CT
=40 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
1
Trim
min
g
CT
=30 s
ec.
ST
=90 m
in
AT
=2700
0 s
ec.
1
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
Su
pp
lier
Cu
sto
me
r
125.0
00 ite
ms/y
ear
1x w
eekly
Weekly
ord
er
Weekly
ord
er
Pro
duction p
lannin
g
2-w
eek p
lan
Oth
er
part
s
10 d
ays
Roun
d s
teell
10 d
ays
Ste
el pro
file
s
10 d
ays
Every
3 d
ays
Grin
din
g
CT
=60 s
ec.
ST
=10 m
in
AT
=2700
0 s
ec.
15 d
ays
Be
nd
ing
CT
=75 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
1
CT
=35 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
12 d
ays
Pu
nch
ing
2 d
ays
5 d
ays
Weekly
pla
nnin
g
Le
ad t
ime
da
ys
Pro
cessin
g tim
e
sec.
Assem
bly
CT
=90 s
ec.
ST
=5
min
AT
=2700
0 s
ec.
Sh
ippin
g
CT
=50 s
ec.
ST
=0 m
in
AT
=2700
0 s
ec.
21
Mill
ing
CT
=95 s
ec.
ST
=8 m
in
AT
=2700
0 s
ec.
1
Tu
rnin
g
CT
=80 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
1
Sa
win
g
CT
=40 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
1
Trim
min
g
CT
=30 s
ec.
ST
=90 m
in
AT
=2700
0 s
ec.
1
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
Su
pp
lier
Cu
sto
me
r
125.0
00 ite
ms/y
ear
1x w
eekly
Weekly
ord
er
Weekly
ord
er
Pro
duction p
lannin
g
2-w
eek p
lan
Oth
er
part
s
10 d
ays
Roun
d s
teell
10 d
ays
Ste
el pro
file
s
10 d
ays
Every
3 d
ays
Grin
din
g
CT
=60 s
ec.
ST
=10 m
in
AT
=2700
0 s
ec.
15 d
ays
Be
nd
ing
CT
=75 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
1
CT
=35 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
12 d
ays
Pu
nch
ing
2 d
ays
5 d
ays
Weekly
pla
nnin
g
Assem
bly
CT
=90 s
ec.
ST
=5
min
AT
=2700
0 s
ec.
Sh
ippin
g
CT
=50 s
ec.
ST
=0 m
in
AT
=2700
0 s
ec.
21
Mill
ing
CT
=95 s
ec.
ST
=8 m
in
AT
=2700
0 s
ec.
1
Tu
rnin
g
CT
=80 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
1
Sa
win
g
CT
=40 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
1
Trim
min
g
CT
=30 s
ec.
ST
=90 m
in
AT
=2700
0 s
ec.
1
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
Su
pp
lier
Cu
sto
me
r
125.0
00 ite
ms/y
ear
1x w
eekly
Weekly
ord
er
Weekly
ord
er
Pro
duction p
lannin
g
2-w
eek p
lan
Oth
er
part
s
10 d
ays
Roun
d s
teell
10 d
ays
Ste
el pro
file
s
10 d
ays
Oth
er
part
s
10 d
ays
Roun
d s
teell
10 d
ays
Ste
el pro
file
s
10 d
ays
Every
3 d
ays
Grin
din
g
CT
=60 s
ec.
ST
=10 m
in
AT
=2700
0 s
ec.
15 d
ays
Be
nd
ing
CT
=75 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
1
CT
=35 s
ec.
ST
=5 m
in
AT
=2700
0 s
ec.
12 d
ays
Pu
nch
ing
2 d
ays
5 d
ays
Weekly
pla
nnin
g
PM I Task 3 Name :
Page 4 Matr.-Nr. :
PM I Task 3 Page 4
b) Where is the bottleneck (pacemaker process) in the value stream? (1 point)
Bottleneck:
Milling_(0,5 points)___________________________ _____
Reason:
The milling workstation has the longest cycle time. All other workstations
have lower work contents and thus shorter cycle times. (0,5 points)
(Exercise 9, task 2.2.a)
c) Please calculate the output of the workstation „Turning“ during 1 shift by taking
into account the setup time. Use an average lot size of 6 parts. Please indicate
the used equations! Take note of the following (1,5 points for the right result and
indicating the calculation formulae):
Shift length Ls: 8 h/shift
Break time Tb: 1 h/shift (30min lunch break, 2x15min break)
Lot size L: 6 parts after each setup
1. Calculation of the number of lots per shift
shift
lots
s
lotlot
parts
part
s
h
s
shift
h
shift
h
M
STLCT
TbLsM
31,32
min60
min5680
360018
2. Calculation of the number of parts per shift
shift
partsN
shift
parts
lot
parts
shift
lotsN
LMN
193
86,193631,32
(0,5 points for the time per lot or per part; 0,5 points for the division of the time
per shift by the time per lot or per part; 0,5 points for the correct result) (Exercise
9, task 2.2.a)
PM I Task 3 Name :
Page 5 Matr.-Nr. :
PM I Task 3 Page 5
d) Please calculate the production lead time and the processing time of the entire
value stream. Write this in the time axis in figure 3-1. (1 point for right production
lead time and 1 point for right processing time).
Le
ad
tim
e
29
da
ys
Pro
cessin
gtim
e
50
5 [sec.]
Assem
bly
CT
= 9
0 s
ec.
ST
=5 m
in
AT
= 2
700
0 s
ec.
Ship
pin
g
CT
= 5
0 s
ec.
ST
= 0
min
AT
= 2
700
0 s
ec.
21
Mill
ing
CT
= 9
5 s
ec.
ST
= 8
min
AT
= 2
700
0 s
ec.
1
Turn
ing
CT
= 8
0 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
Saw
ing
CT
= 4
0 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
Trim
min
g
CT
= 3
0 s
ec.
ST
= 9
0 m
in
AT
= 2
700
0 s
ec.
1
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
Supplie
rC
usto
mer
125.0
00 ite
ms/y
ear
1x w
eekly
Weekly
ord
er
Weekly
ord
er
Pro
duction
pla
nnin
g
2-w
eek p
lan
Oth
er
part
s
10 d
ays
Roun
d s
teell
10 d
ays
Ste
el pro
file
s
10 d
ays
Every
3 d
ays
Grindin
g
CT
= 6
0 s
ec.
ST
= 1
0 m
in
AT
= 2
700
0 s
ec.
15 d
ays
Bendin
g
CT
= 7
5 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
CT
= 3
5 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
12 d
ays
Punchin
g
2 d
ays
5 d
ays
Weekly
pla
nnin
g
10
da
ys
5 d
ays
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
40
se
c.
80
se
c.
95
se
c.
60
se
c.
18
0 s
ec.
50
se
c.
Le
ad
tim
e
29
da
ys
Pro
cessin
gtim
e
50
5 [sec.]
Assem
bly
CT
= 9
0 s
ec.
ST
=5 m
in
AT
= 2
700
0 s
ec.
Ship
pin
g
CT
= 5
0 s
ec.
ST
= 0
min
AT
= 2
700
0 s
ec.
21
Mill
ing
CT
= 9
5 s
ec.
ST
= 8
min
AT
= 2
700
0 s
ec.
1
Turn
ing
CT
= 8
0 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
Saw
ing
CT
= 4
0 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
Trim
min
g
CT
= 3
0 s
ec.
ST
= 9
0 m
in
AT
= 2
700
0 s
ec.
1
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
Supplie
rC
usto
mer
125.0
00 ite
ms/y
ear
1x w
eekly
Weekly
ord
er
Weekly
ord
er
Pro
duction
pla
nnin
g
2-w
eek p
lan
Oth
er
part
s
10 d
ays
Roun
d s
teell
10 d
ays
Ste
el pro
file
s
10 d
ays
Every
3 d
ays
Grindin
g
CT
= 6
0 s
ec.
ST
= 1
0 m
in
AT
= 2
700
0 s
ec.
15 d
ays
Bendin
g
CT
= 7
5 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
CT
= 3
5 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
12 d
ays
Punchin
g
2 d
ays
5 d
ays
Weekly
pla
nnin
g
10
da
ys
5 d
ays
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
40
se
c.
80
se
c.
95
se
c.
60
se
c.
18
0 s
ec.
50
se
c.
Assem
bly
CT
= 9
0 s
ec.
ST
=5 m
in
AT
= 2
700
0 s
ec.
Ship
pin
g
CT
= 5
0 s
ec.
ST
= 0
min
AT
= 2
700
0 s
ec.
21
Mill
ing
CT
= 9
5 s
ec.
ST
= 8
min
AT
= 2
700
0 s
ec.
1
Turn
ing
CT
= 8
0 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
Saw
ing
CT
= 4
0 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
Trim
min
g
CT
= 3
0 s
ec.
ST
= 9
0 m
in
AT
= 2
700
0 s
ec.
1
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
Supplie
rC
usto
mer
125.0
00 ite
ms/y
ear
1x w
eekly
Weekly
ord
er
Weekly
ord
er
Pro
duction
pla
nnin
g
2-w
eek p
lan
Oth
er
part
s
10 d
ays
Roun
d s
teell
10 d
ays
Ste
el pro
file
s
10 d
ays
Every
3 d
ays
Grindin
g
CT
= 6
0 s
ec.
ST
= 1
0 m
in
AT
= 2
700
0 s
ec.
15 d
ays
Bendin
g
CT
= 7
5 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
CT
= 3
5 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
12 d
ays
Punchin
g
2 d
ays
5 d
ays
Weekly
pla
nnin
g
Assem
bly
CT
= 9
0 s
ec.
ST
=5 m
in
AT
= 2
700
0 s
ec.
Ship
pin
g
CT
= 5
0 s
ec.
ST
= 0
min
AT
= 2
700
0 s
ec.
21
Mill
ing
CT
= 9
5 s
ec.
ST
= 8
min
AT
= 2
700
0 s
ec.
1
Turn
ing
CT
= 8
0 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
Saw
ing
CT
= 4
0 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
Trim
min
g
CT
= 3
0 s
ec.
ST
= 9
0 m
in
AT
= 2
700
0 s
ec.
1
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
Supplie
rC
usto
mer
125.0
00 ite
ms/y
ear
1x w
eekly
Weekly
ord
er
Weekly
ord
er
Pro
duction
pla
nnin
g
2-w
eek p
lan
Oth
er
part
s
10 d
ays
Roun
d s
teell
10 d
ays
Ste
el pro
file
s
10 d
ays
Oth
er
part
s
10 d
ays
Roun
d s
teell
10 d
ays
Ste
el pro
file
s
10 d
ays
Every
3 d
ays
Grindin
g
CT
= 6
0 s
ec.
ST
= 1
0 m
in
AT
= 2
700
0 s
ec.
15 d
ays
Bendin
g
CT
= 7
5 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
1
CT
= 3
5 s
ec.
ST
= 5
min
AT
= 2
700
0 s
ec.
12 d
ays
Punchin
g
2 d
ays
5 d
ays
Weekly
pla
nnin
g
10
da
ys
5 d
ays
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
40
se
c.
80
se
c.
95
se
c.
60
se
c.
18
0 s
ec.
50
se
c.
10
da
ys
5 d
ays
5 d
ays
2 d
ays
2 d
ays
2 d
ays
3 d
ays
40
se
c.
80
se
c.
95
se
c.
60
se
c.
18
0 s
ec.
50
se
c.
Current value stream map (incl. lead time)
(Exercise 9, task 2.1.d)
PM I Task 3 Name :
Page 6 Matr.-Nr. :
PM I Task 3 Page 6
e) After analysing the weak point you start optimizing each process and design a
whole new future value stream map (figures 3-2 and 3-3). Which alternative do
you present to your manager? (2,5 points)
Alternative 1
Alternative 2
Please justify your answer (0,5 points for each valid justification):
1. Production planning is done at the bottleneck (assembly) and only in one place in
the process
2. Upstream processes are controlled by PULL, downstream processes are con-
trolled by FIFO
3. Higher transparency of inventory due to correct kanban control
4. Shorter delivery cycles allow more flexibility in purchasing
Shorter lead time
0,5 points for the right alternative; 0,5 points for each right justification (Exercise
9, task 2.2.c-g)
PM I Task 3 Name :
Page 7 Matr.-Nr. :
PM I Task 3 Page 7
Bild 3-2: Future value stream: alternative 1
Bild 3-3: Future value stream: Alternative 2
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= durschnitl.
AT = 27000 sec.
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= durschnitl.
AT = 27000 sec.
1 day
1 day
Sawing
CT= 40 sec.
ST= 5 min
AT = 27000 sec.
1
CT= 30 sec.
ST= 90 min
AT = 27000 sec.
Trimming
11 day
1 day
Assembly
CT= 90 sec.
ST=5 min
AT = 27000 sec.
2
Shipping
CT= 50 sec.
ST= 0 min
AT = 27000 sec.
1
Manufac-
turing and
Assembly
Packaging
SupplierCustomer
125.000 items/ year
3x wöchentlich
Weekly order Weekly order
Daily
Other parts
10 days
Round steel
10 days
Steel profiles
10 days
Production planning
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= durschnitl.
AT = 27000 sec.
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= durschnitl.
AT = 27000 sec.
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= durschnitl.
AT = 27000 sec.
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= durschnitl.
AT = 27000 sec.
1 day1 day
1 day1 day
Sawing
CT= 40 sec.
ST= 5 min
AT = 27000 sec.
1
Sawing
CT= 40 sec.
ST= 5 min
AT = 27000 sec.
1
CT= 30 sec.
ST= 90 min
AT = 27000 sec.
Trimming
1
CT= 30 sec.
ST= 90 min
AT = 27000 sec.
Trimming
11 day
1 day
Assembly
CT= 90 sec.
ST=5 min
AT = 27000 sec.
2
Assembly
CT= 90 sec.
ST=5 min
AT = 27000 sec.
2
Shipping
CT= 50 sec.
ST= 0 min
AT = 27000 sec.
1
Shipping
CT= 50 sec.
ST= 0 min
AT = 27000 sec.
1
Manufac-
turing and
Assembly
Packaging
Manufac-
turing and
Assembly
Packaging
SupplierCustomer
125.000 items/ year
3x wöchentlich
Weekly order Weekly order
Daily
Other parts
10 days
Round steel
10 days
Steel profiles
10 days
Other parts
10 days
Round steel
10 days
Steel profiles
10 days
Production planning
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= avg.
AT = 27000 sec.
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= avg.
AT = 27000 sec.
Sawing
CT= 40 sec.
ST= 5 min
AT = 27000 sec.
1
CT= 30 sec.
ST= 90 min
AT = 27000 sec.
Trimming
11 day
1 day
Assembly
CT= 90 sec.
ST=5 min
AT = 27000 sec.
2
Shipping
CT= 50 sec.
ST= 0 min
AT = 27000 sec.
1
Manufac-
turing and
Assembly
Packaging
SupplierCustomer
125.000 items/ year
3x wöchentlich
Weekly order Weekly order
Every 3 days
Other parts
10 days
Round steel
10 days
Steel profiles
10 days
Production planning
1 day
2 days
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= avg.
AT = 27000 sec.
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= avg.
AT = 27000 sec.
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= avg.
AT = 27000 sec.
Manufacturing
Takt= 85 sec.
CT= 80 sec.
ST= avg.
AT = 27000 sec.
Sawing
CT= 40 sec.
ST= 5 min
AT = 27000 sec.
1
Sawing
CT= 40 sec.
ST= 5 min
AT = 27000 sec.
1
CT= 30 sec.
ST= 90 min
AT = 27000 sec.
Trimming
1
CT= 30 sec.
ST= 90 min
AT = 27000 sec.
Trimming
11 day
1 day
Assembly
CT= 90 sec.
ST=5 min
AT = 27000 sec.
2
Assembly
CT= 90 sec.
ST=5 min
AT = 27000 sec.
2
Shipping
CT= 50 sec.
ST= 0 min
AT = 27000 sec.
1
Shipping
CT= 50 sec.
ST= 0 min
AT = 27000 sec.
1
Manufac-
turing and
Assembly
Packaging
Manufac-
turing and
Assembly
Packaging
SupplierCustomer
125.000 items/ year
3x wöchentlich
Weekly order Weekly order
Every 3 days
Other parts
10 days
Round steel
10 days
Steel profiles
10 days
Production planning
1 day
2 days
PM I Task 4 Name :
Page 1 Matr.-No. :
PM I Task 4 Page 1
PM I Task 4, 10 Points
You are assistant to the managing board in a medium sized company. Your boss is
responsible for the strategy development. In the next meeting of the board one of the
main topics is the business strategy. You support him in his preparation.
a) First he wants to present a reference framework that structures the strategy man-
agement according to a specific logic. He has already made a draft of the most
important picture of that framework. What is the name of that framework? (You
are not asked to fill in the five blanks.) (0,5 Points)
Initiation Positioning
Creation of
valueChange
Performance
Measurement
Initiation Positioning
Creation of
valueChange
Performance
Measurement
b) In addition he has heard of six different pathways through the framework. You
draw the six pathways and explain that the pathways can be ordered according to
their intention. What are the names of the different intentions? (1,5 Points)
General Management Navigator 0,5 Punkte für richtige Bezeichnung
PM I Task 4 Name :
Page 2 Matr.-No. :
PM I Task 4 Page 2
A
E F
CB
D
A
E F
CB
D
1. intention: strategic orientation
2. intention: invention of the business
3. intention: mobilisation
c) Attach two pathways to each intention. (3 Points)
1. intention: A E
2. intention: B C
3. intention: F D
d) In the meeting of the board your boss wants to talk about the advantages and
disadvantages of the different production sites. He asks you to prepare a tech-
nical and quantity based view as well as an economic and value based view of
the site in Portugal in comparison to the site in Aachen (Productivity and Efficien-
cy). He gives you the following information: The wages in Portugal are only one
quarter, but twice as many employees are needed in comparison to Germany to
produce the same amount (200.000 pcs.). The costs of material in Germany are
50% of the total costs. In absolute figures the costs of materials are the same in
both sites. The overhead costs are insignificant. The sales revenue is 15 Mio. € in
Germany, in Portugal only 60% of that. There is no change of inventory. Calculate
both key figures for the site in Aachen and in Portugal depending on the wages in
Germany (WG), the number of employees in Germany (XG) and the total costs in
Germany (CG) and compare them. Choose the number of employees as a refer-
ence for the technical and quantity based view, for the value based view choose
the costs. Calculate everything as far as possible. (5 Points)
0,5 Punkte pro richtiger Bezeichnung
0,5 Punkte pro richtiger Zuordnung eines Pfades
(Buchstaben) zum richtigen Zweck
PM I Task 4 Name :
Page 3 Matr.-No. :
PM I Task 4 Page 3
0,5 Punkte pro richtiger Bezeichnung
0,5 Punkte pro richtiger Zuordnung eines Pfades
(Buchstaben) zum richtigen Zweck
Productivity: G: P: G/P: = 2 Efficiency: G: P: G/P: 1,67*
200.000 Stk. 200.000 Stk.
15 Mio. € 9 Mio. € 0,5 KD + 1/2 XD * LD
0,5 Punkte richtige Produktivität G
0,5 Punkte richtige Produktivität P
0,5 Punkte richtiges Ergebnis G/P
0,5 Punkte richtige Wirtschaftlichkeit G
0,5 Punkte richtige Wirtschaftlichkeit P
Jeweils ,0,5 Punkte Nenner in G und P richtig zusammengefasst
1 Punkt richtige Formel D/P
0,5 Punkte richtiges Zahlenergebnis G/P
0,5 KD + XD * LD 0,5 KD + XD * LD
3/4 KD KD 1,25
XD 2 XD
0,5 KD + 1/2 XD * LD