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June 19, 2013

Supply Chain Management
- Team 05 -

1
0. Outline
1.
2.
3.
4.
5.
6.

Overview of results
Option Choices
Forecasting
Production Planning
Supplier Choice
Buy Information

2
1. Overview of result
1st year
Margin

2nd year

43,252

29,715

3rd year
30,269

Model A Revenue

125,560

Model A Costs

114,750

120,000

140,000
120,000

Model A Margin
100,000

92,699
81,700

40,000

80,000
60,000

52,717
35,330
28,983

32,861

152,679

Model B Revenue

Model B Costs
106,645

Model B Margin

61,151
60,000

49,443

100,000

88,080

79,420

80,000

Total

Model B – huge mistakes
in 2nd and 3rd year

Model A – Totally nice margin!
140,000

4th year

75,888

73,131

55,619
35,374
34,989

40,000

46,202
40,794

33,514

26,929
20,269

20,000

20,000
385

0

5,408

0
1st year

3

2nd year

3rd year

4th year

1st year

2nd year

3rd year

4th year
1. Overview of result
Unit profit * Actual demand is the maximum margin under perfect prediction
1st year
Perfect
Model A
prediction Model B

2nd year

4th year

Total

30,732

41,026

36,225

27,675

135,658

29,204

11,253

14,250

59,090

113,797

Model A – Totally nice again!
45,000

3rd year

Model A Margin

40,000

Model A Perfect est.

35,000

Model B – huge loss also in 4th year
70,000

Model A Loss

60,000

Model B Margin
Model B Perfect est.
Model B Loss

50,000
30,000
25,000

40,000

20,000

30,000

15,000
20,000
10,000
10,000

5,000
0

0
1st year

4

2nd year

3rd year

4th year

1st year

2nd year

3rd year

4th year
1. Overview of result
The important things are…

Accurate demand
prediction
5

Flexibility of production
to cover miss-prediction
2. Option Choices
 Option Choices
 3 criteria for deciding options to reduce uncertainity.
The estimation of
demand increase

Comprehensive Judgment
Changes of profit
6

The variance of
demand
estimation
2. Option Choices
1st Year

2nd Year

3rd Year

Infrared
& Extra
Battery

Profit
per unit

4th Year

Anti
Theft &
Speakers

demand

How can we stabilize this?
7

Speakers
& Super
Slim

Total
profit
3. Forecasting
 Forecasting
 Flexibility is more important than forecasting
 Forecasting is not worth believing

8
But...In reality we had to use
assumption 1data
Year
Year 2

We tried to use “Consensus Data” rather than internal forecast assumptions
9
For Year 3 & 4, We respected team
conversation 3
Year
Year 4

Lesson & Learn:
Once set the forecast beginning of the year we stuck on this numbers
10
And lost flexibility
4. Production Planning
 Production Planning
 Setting FarFar Away site as a base line
 Keeping flexibility on PrettyClose site

11
Choose “Far Faraway site” to utilize its larger
production capacity and lower cost to build up base
inventory.

Year 1

Year 2

12
Choose “Pretty close site” to utilize its
advantage of shorter lead time for keeping
flexibility.

Year 3

Year 4

13
5. Supplier Choice
 Supplier Choice
 The consideration for lead time, capacity, setup cost,
and unit cost
Lead time

Base line
FarFar Away
Far Away
Flexibility
Pretty Close
Ve-Ri-Fas

Capacity

Setup cost

Unit cost
(as of 1st year)

4 mth

60K

$1,000K

A: $137, B: $157

3 mth

60K

$2,000K

A: $137, B: $157

0 mth

35K

$1,000K

A: $147, B: $167

0 mth

40K

$2,000K

A: $147, B: $167

No any reasons why we had to consider Far Away and Ve-Ri-Fas
sites at the 1st phase to cover demand and flexibility.
14
5. Supplier Choice
 Supplier Choice
 We did not hesitate to change the order during the
year to cover the drastic demand change in 4th year
Actual deman in year 4

Change order cost
160
140
120
100
80
60
40
20
0

8,000
6,000
4,000
2,000
0

Model A
Model B

1st 2nd 3rd 4th
year year year year

Changed our mind to quickly response the demand to acquire
more profit than change order cost! But… no enough capacity
15
6. buy information
 How was the buy information beneficial for us?
Year

Buy information
Model B

Result

Model A
Would you like us to set up
this industry conference
??
First $2,000,000?
for

Model A

Model B

??

-4%~+6%
(-2K ~ +3K)

-11%~+28%
(-4K ~ +10K)

Second likely to go up

10% down

-4%~+7%
(-3K ~ +5K)

-13%~+46%
(-2K ~ +7K)

Third

Stable

20% down

-8%~+1.5%
(-5K ~ +1K)

-54%~+0%
(-13K ~ +0K)

Final

Stable

20% up

-11%~+4%
(-5K ~ +2K)

-20%~+129%
(-12K ~ +75K)

Lesson & Learn:
 Buying information is important because the
prediction before the year start cannot be reliable.
 Her prediction seemed to be “bad shot”
Gwyneth:Marketing Department
16
Valuation of buy information
 How was the buy information worth of $2,000,000 ?
Overestimation

Underestimation

Items of Loss

Inventory cost
& Liquidation cost

Opportunity cost

Calculation of
Loss (per unit)
Equal values of
2,000,000

A : about $70/ unit
B : about $163 /unit
A: 28 K unit
B: 12 K unit

A: $73-78 / unit
B:$93-98 / unit
A : 25 K units
B : 20 K units

Lesson & Learn:
 Buy information seems to be helpful if the prediction
will be more accurate.
17
Appendix

18
Fist Year

19
Second Year

20
Third Year

21
Final Year

22

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Scm study final

  • 1. June 19, 2013 Supply Chain Management - Team 05 - 1
  • 2. 0. Outline 1. 2. 3. 4. 5. 6. Overview of results Option Choices Forecasting Production Planning Supplier Choice Buy Information 2
  • 3. 1. Overview of result 1st year Margin 2nd year 43,252 29,715 3rd year 30,269 Model A Revenue 125,560 Model A Costs 114,750 120,000 140,000 120,000 Model A Margin 100,000 92,699 81,700 40,000 80,000 60,000 52,717 35,330 28,983 32,861 152,679 Model B Revenue Model B Costs 106,645 Model B Margin 61,151 60,000 49,443 100,000 88,080 79,420 80,000 Total Model B – huge mistakes in 2nd and 3rd year Model A – Totally nice margin! 140,000 4th year 75,888 73,131 55,619 35,374 34,989 40,000 46,202 40,794 33,514 26,929 20,269 20,000 20,000 385 0 5,408 0 1st year 3 2nd year 3rd year 4th year 1st year 2nd year 3rd year 4th year
  • 4. 1. Overview of result Unit profit * Actual demand is the maximum margin under perfect prediction 1st year Perfect Model A prediction Model B 2nd year 4th year Total 30,732 41,026 36,225 27,675 135,658 29,204 11,253 14,250 59,090 113,797 Model A – Totally nice again! 45,000 3rd year Model A Margin 40,000 Model A Perfect est. 35,000 Model B – huge loss also in 4th year 70,000 Model A Loss 60,000 Model B Margin Model B Perfect est. Model B Loss 50,000 30,000 25,000 40,000 20,000 30,000 15,000 20,000 10,000 10,000 5,000 0 0 1st year 4 2nd year 3rd year 4th year 1st year 2nd year 3rd year 4th year
  • 5. 1. Overview of result The important things are… Accurate demand prediction 5 Flexibility of production to cover miss-prediction
  • 6. 2. Option Choices  Option Choices  3 criteria for deciding options to reduce uncertainity. The estimation of demand increase Comprehensive Judgment Changes of profit 6 The variance of demand estimation
  • 7. 2. Option Choices 1st Year 2nd Year 3rd Year Infrared & Extra Battery Profit per unit 4th Year Anti Theft & Speakers demand How can we stabilize this? 7 Speakers & Super Slim Total profit
  • 8. 3. Forecasting  Forecasting  Flexibility is more important than forecasting  Forecasting is not worth believing 8
  • 9. But...In reality we had to use assumption 1data Year Year 2 We tried to use “Consensus Data” rather than internal forecast assumptions 9
  • 10. For Year 3 & 4, We respected team conversation 3 Year Year 4 Lesson & Learn: Once set the forecast beginning of the year we stuck on this numbers 10 And lost flexibility
  • 11. 4. Production Planning  Production Planning  Setting FarFar Away site as a base line  Keeping flexibility on PrettyClose site 11
  • 12. Choose “Far Faraway site” to utilize its larger production capacity and lower cost to build up base inventory. Year 1 Year 2 12
  • 13. Choose “Pretty close site” to utilize its advantage of shorter lead time for keeping flexibility. Year 3 Year 4 13
  • 14. 5. Supplier Choice  Supplier Choice  The consideration for lead time, capacity, setup cost, and unit cost Lead time Base line FarFar Away Far Away Flexibility Pretty Close Ve-Ri-Fas Capacity Setup cost Unit cost (as of 1st year) 4 mth 60K $1,000K A: $137, B: $157 3 mth 60K $2,000K A: $137, B: $157 0 mth 35K $1,000K A: $147, B: $167 0 mth 40K $2,000K A: $147, B: $167 No any reasons why we had to consider Far Away and Ve-Ri-Fas sites at the 1st phase to cover demand and flexibility. 14
  • 15. 5. Supplier Choice  Supplier Choice  We did not hesitate to change the order during the year to cover the drastic demand change in 4th year Actual deman in year 4 Change order cost 160 140 120 100 80 60 40 20 0 8,000 6,000 4,000 2,000 0 Model A Model B 1st 2nd 3rd 4th year year year year Changed our mind to quickly response the demand to acquire more profit than change order cost! But… no enough capacity 15
  • 16. 6. buy information  How was the buy information beneficial for us? Year Buy information Model B Result Model A Would you like us to set up this industry conference ?? First $2,000,000? for Model A Model B ?? -4%~+6% (-2K ~ +3K) -11%~+28% (-4K ~ +10K) Second likely to go up 10% down -4%~+7% (-3K ~ +5K) -13%~+46% (-2K ~ +7K) Third Stable 20% down -8%~+1.5% (-5K ~ +1K) -54%~+0% (-13K ~ +0K) Final Stable 20% up -11%~+4% (-5K ~ +2K) -20%~+129% (-12K ~ +75K) Lesson & Learn:  Buying information is important because the prediction before the year start cannot be reliable.  Her prediction seemed to be “bad shot” Gwyneth:Marketing Department 16
  • 17. Valuation of buy information  How was the buy information worth of $2,000,000 ? Overestimation Underestimation Items of Loss Inventory cost & Liquidation cost Opportunity cost Calculation of Loss (per unit) Equal values of 2,000,000 A : about $70/ unit B : about $163 /unit A: 28 K unit B: 12 K unit A: $73-78 / unit B:$93-98 / unit A : 25 K units B : 20 K units Lesson & Learn:  Buy information seems to be helpful if the prediction will be more accurate. 17