indian ice-cream industry and supply chain innovation at geddy’s

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Indian Ice-Cream Industry and Supply Chain Innovation at Geddy’s Team Name: Group 9 1 st Round Room RAWLS 3093 Xiang Li Della Mihardja Xiaoyang Chen MinqianGuo

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Indian Ice-Cream Industry and Supply Chain Innovation at Geddy’s. Team Name: Group 9 1 st R ound Room RAWLS 3093 Xiang Li Della Mihardja Xiaoyang Chen MinqianGuo. Contents (Xiang Li). Key Features and Challenges (Xiang Li). Focus (Della Mihardja). - PowerPoint PPT Presentation

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Page 1: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

Indian Ice-Cream Industry andSupply Chain Innovation at

Geddy’s

Team Name: Group 91stRound Room RAWLS 3093

Xiang LiDella MihardjaXiaoyang Chen

MinqianGuo

Page 2: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 2

Contents (Xiang Li)

Key Features Focus Planning Data

AnalysisRecommen

dation

Page 3: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 3

Key Features and Challenges (Xiang Li)

Challenges

High Cost

Materials Availability

Demand Forecasting

Gain Market Share

Market Features Product Features

1. High fixed cost structure

1. High quality ingredients required

1. Different Flavors

1. Customer Preference

1. Seasonality2. Refrigeration required

1. Local competitors

2. FDI Approval

-

Key Features Focus Planning Data Analysis Recommendation

Page 4: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 4

Focus (Della Mihardja)

Why Market Expansion as short-term focus? Gain market share Enhance brand name

Why Cost Efficiency as long-term focus? Economies of Scale

Transportation Production Efficiency Eliminating waste

Key Features Focus Planning Data Analysis Recommendation

Page 5: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 5

Demand Shaping (XiaoyangChen)

1 5 9 13 17 21 25 29 33 37 41 45 49 530.00

50.00

100.00

150.00

200.00

250.00

300.00

350.00

400.00

450.00

Total Demand

Total Demand

1 5 9 13 17 21 25 29 33 37 41 45 49 530.00

50.00

100.00

150.00

200.00

250.00

300.00

350.00

400.00

450.00

21, 208.56

410.80

38,208.56

Demand Model

Demand1

Duration: 17 weeks

Difference: 202.24

Key Features Focus Planning Data Analysis Recommendation

Page 6: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 6

Demand Shaping (XiaoyangChen)

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 550.00

50.00

100.00

150.00

200.00

250.00

300.00

350.00

400.00

450.00

Shaped Demand Model

Demand1 Demand2

Shrink Difference Expand Duration

• Promotion (Christmas , New Year..)

Page 7: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 7

Capacity Planning (XiaoyangChen)

Low Season Increase SalesPeak Season Increase

machines capacity by technology

Reduce bottlenecks

Use other plants

Demand Forecasting: Exponential

Smoothing with Trend

Aggregate Planning: Chase Strategy Different

planning for different raw materials

Page 8: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 8

Weekly Profit vs. De-seasonalizeWeekly Profit (MinqianGuo)

1 2 3 4 5 6 7 8 9 10111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455500.0

600.0

700.0

800.0

900.0

1000.0

1100.0

1200.0

avg weekly profit De-seasonalized weekly profit

Target Service Level Policy

Target Level for Top Margin Policy

Key Features Focus Planning Data Analysis Recommendation

Page 9: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 9

0 10 20 30 40 50 6040

50

60

70

80

90

100

110

120

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

Week

Avera

ge T

em

pera

ture

of

the W

eek

Season

al Facoto

r of

the

Dem

an

d

Average Temperature (F)

Seasonal Factor of Demand

0 10 20 30 40 50 60300

500

700

900

1100

1300

200

250

300

350

400

450

500

Week

Weekly

Pro

fit

(100 R

up

ee)

Tota

l W

eekly

Sale

s

Weekly Profit (100 Rupee)

Total Weekly Sales

Average Temperature (F)

Seasonal Factor of Demand

Key Features Focus Planning Data Analysis Recommendation

Page 10: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 10

Flavor Sales vs. Total Sales (MinqianGuo)

1 2 3 4 5 6 7 8 9 101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354550

50

100

150

200

250

300

350

400

TV BBS LL BT Total Sales

Key Features Focus Planning Data Analysis Recommendation

Page 11: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 11

Insight to BT (MinqianGuo)

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 550.00

200.00

400.00

600.00

800.00

1000.00

1200.00

BT average demand

Weekly Profit

BT sales

Key Features Focus Planning Data Analysis Recommendation

Page 12: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 12

Top 3 Margin Policy (MinqianGuo)

Key Features Focus Planning Data Analysis Recommendation

Profit = Margin * Demand

Page 13: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 13

Flavor Demand (MinqianGuo)

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 550.00

20.00

40.00

60.00

80.00

100.00

120.00

140.00

TV BBS

LL BT

• LL has a low demand compared to others

Key Features Focus Planning Data Analysis Recommendation

Page 14: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 14

Short Term Recommendation (Della Mihardja)

Modify Target Level for Top Margin Policy 90% in-stock level for top three most favorite

flavors Supplier policy

Contract (bulk-buying) Product Customization

Implement Just Sundaes’ format to Go Geddy’s Retail outlet

Demand Forecasting Tool Exponential Smoothing with Trend

Key Features Focus Planning Data Analysis Recommendation

Page 15: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 15

Long Term Recommendation (Della Mihardja)

Add more vendor Price-setting

Different price for different flavors Procurement

Disintermediation (eliminate agent) Spare more working capital in USD Subsidiary in free-port country

Transportation Eliminate third-party logistics

Key Features Focus Planning Data Analysis Recommendation

Page 16: Indian Ice-Cream Industry and Supply Chain Innovation at  Geddy’s

GSCMI 2013 Case Competition 16

THANK YOU