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Conclusions and r ecommendations

A sur vey analysis of supply chain adjustment for Taiwanese infor mation technology fir ms

5. Conclusions and r ecommendations

Little research has focused on the interrelationship of supply chain dynamics and freight transportation demand, this article compared supply chain adjustment practices at forty-five IT firms in Taiwan and investigated five Propositions.

As to Proposition 1, the survey indicates that Taiwanese IT firms are indeed involved in international collaboration. Firms actually diversify and adjust their manufacturing activities in their supply chains with respect to space factors. There are also quite a few manufacturers who have established offshore factories for cheaper, cost advantage production input factors.

Proposition 2A and 2B are supported. The firms apply different supply chain adjustments to the products according to their product life cycle. Basically the supply chain adjustments in

‘space’ do appear according to the stages of the product life cycle. The adjustments in space migrate from domestic ‘centralization’ to ‘diversification’ at various sites. As to the

adjustments in time, there are four basic types, which correspond to the various stages of the product life cycle.

Proposition 3 for supply chain adjustments that affect freight transportation

origin/destination and modal choice is supported. The supply chain adjustments in space will actually affect the transportation demand between origin and destination. In the meantime, if the postponement strategy is adopted, faster transportation services will be needed.

Proposition 4 contains two layers. Not until the firms decide to undergo the adjustments in

‘space,’does this proposition find support. However, once the firms decide on foreign investment, the transportation service availability becomes one of the considering factors for factory relocation. Additionally, when firms apply ‘postponement’ strategies, this proposition is also supported.

Finally, this study found that the transportation cost was not a major consideration for the respondents’ supply chain adjustments.

In general, this study discovered that the concepts of ‘centralization’/‘diversification’ in space and ‘postponement’/‘speculation’ in time do exist in the supply chain adjustments of

the IT manufacturing industry. How to establish the quantitative model for supply chain adjustment and freight transportation demand would be an interesting focus for future research.

The ‘OEM’ business model is popular among many Taiwanese IT manufacturers. Most of the products manufactured under this model have entered into the maturity life cycles. Firms not only have to lower the manufacturing costs, but also have to enhance the transportation efficiency to satisfy the fierce competition. Any product steps in the maturity or decline stages will more and more rely on faster transportation services when the manufacturing locations diversify. If the ‘postponement’ strategy is applied, the turnaround time gets shorter once the order is received. Fast transportation services will be necessary to meet the supply chain operations. In terms of the influences that the supply chain adjustments have on the transportation demand, the diversification in space will lower the total quantity in freight transportation in the host country. The postponement strategy will increase the demand for faster transportation services.

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R/M

Notes: DC=Distribution Center, LW=Local Warehouse, R/M=Raw Materials

Outbound logistics Manufactur ing logistics

Logistics Channel

Figure 1 Supply Chain of Manufacturing Industry

Time

Very few buyers Growing number of buyers

Peak demand Declining demand and then steep fall-off in demand Very few competitors Entry of new

competitors

Rapid change Less rapid change Some change but increasingly stable technology

Sales Volume

Figure 2 Profile of product life cycle.

Source: (Dicken, 1992).

10

Figure 3 The distribution of surveyed IT firms’ foreign investment.

1985 1990 1995 1999

Figure 4 The trend of foreign investment.

Dist3 Dist2

Requir ed deliver y time after or der ed

Level of customer service

t1

t2

t1 LOS1

LOS2

v

1

v

2

v

3

Speed of transport services

C

A

Dist1 B

D

v

4

T

T t2

Requir ed deliver y time after or der ed

Figure 5 The relationships among response time, transportation speed and level of service.

Table 1 The manufacturing product structures (by production values)

Unit: % Year Information

technology

Chemical Metal Consuming

Industrial

Total

1989 17.9 29.4 24.4 28.3 100.0

1990 18.6 29.0 25.0 27.4 100.0

1991 19.0 28.4 25.7 26.8 100.0

1992 19.2 28.2 26.8 25.8 100.0

1993 20.3 28.2 27.0 24.5 100.0

1994 21.7 28.6 26.5 23.2 100.0

1995 24.1 28.4 26.1 21.4 100.0

1996 25.2 29.1 25.3 20.4 100.0

1997 27.6 28.1 25.7 18.7 100.0

1998 30.3 27.3 24.9 17.5 100.0

Source: Directorate-General of Budget, Accounting and Statistics, 2000.

Table 2 Positions of Surveyed Respondents

Responsibility for logistics operation Title of the Position

No. of

Respondents % Yes % No %

Top Management 1 2.22 0 0.00 1 2.22

Senior Management 4 8.89 3 6.67 1 2.22

Department Managers 25 55.56 20 44.44 5 11.11

Supervisors & Engineers 12 26.67 12 26.67 0 0.00

Others 3 6.66 0 0.00 3 6.67

Total 45 100.00 35 77.78 10 22.22

Source: The survey in this study.

Table 3 Questionnaire Survey Response Profile Annual Sales

(million USD) No. of Respondents (%)

Less than 500 million 31 68.89

$501 million – 1 billion 7 15.56

$1 – 1.5 billion 5 11.11

$1.5 – 2.0 billion 1 2.22

Greater than $2 billion 1 2.22

Total 45 100.00

Source: The survey in this study.

Table 4 Reasons for Offshore Relocation

Reasons No. of respondents

Cheaper labor cost 41 44.57

Proximity of customer markets 22 23.91

Lower land cost 15 16.30

Easier to access new technologies 6 6.52

Skilled labor availability 3 3.26

Lower tax/tariff 3 3.26

Other 2 2.17

Total 92 100.00

Note: Only the most major reason is considered for each offshore factory.

Source: The survey in this study.

Table 5 The interrelationship analysis on the location selections, investment reasons and product characteristics for offshore factories

Unit: firm Reasons

Mainland China

Thailand Philippines Malaysia Singapore Mexico UK Japan United States

Cheaper labor cost

29 4 3 5 --- --- --- ---

---Lower land cost

13 2 --- --- --- --- --- ---

---Lower tax/tariff

2 --- --- 1 --- --- --- ---

---Easier to access new technologies

--- --- --- --- 1 --- --- 2 3

Skilled labor availability

--- --- --- --- 1 --- 1 --- 1

Proximity of customer markets

--- --- --- --- 4 3 3 1 7

Others --- --- --- --- --- --- --- --- 2

Total 44 6 3 6 6 3 4 3 13

Life cycle stage Unit: No. of offshore factories

Introduction 0 0 0 0 1 0 0 1 1

Growth 1 0 0 0 4 0 2 2 10

Maturity 21 3 1 2 1 2 2 0 2

Decline 22 3 2 4 0 1 0 0 0

Source: The survey in this study.

Table 6 Analysis on product life cycle stage and supply chain adjustments in ‘space’.

Unit: No. of products Stage of product life cycle Introduction Growth Maturity Decline Total

No. of products 2 19 35 9 65

Made fully in Taiwan 1 15 9 2 27

( % ) 50.0% 78.9% 25.7% 22.2%

---Partial or not at all made in Taiwan 1 4 26 7 38

( % ) 50.0% 21.1% 74.3% 77.8%

---Source: The survey of this study

Table 7 Analysis on product development and supply chain adjustment strategies in ‘time’

Unit: No. of products Stage of product life cycle Introduction Growth Maturity Decline Total

No. of products 2 19 35 9 65

Manufacturing Strategy

Speculation 2 12 25 2

No action 0 6 8 1

Postponement 0 1 2 6

---Logistics Strategy

Speculation 2 7 4 0

No action 0 9 5 2

Postponement 0 3 26 7

---Made fully in Taiwan 1 15 9 2 28

Manufacturing Strategy

Speculation 1 9 7 1

No action 0 5 1 0

Postponement 0 1 1 1

---Logistics Strategy

Speculation 1 4 1 0

No action 0 8 1 0

Postponement 0 3 7 2

---Partial or not at all made in Taiwan

1 4 26 7 37

Manufacturing Strategy

Speculation 1 3 18 1

No action 0 1 7 1

Postponement 0 0 1 5

---Logistics Strategy

Speculation 1 3 3 0

No action 0 1 3 2

Postponement 0 0 19 5

---Source: The survey of this study.

Table 8 Statistics on transportation service demand vs. product development

MS LS Location of Factory

No. of samples

Required Delivery time after ordered

Final assembly time after ordered

Average transport time

Mode Air

Choice Sea

No. of products in each group of transportation

cost/ sales price*

Stage of product life

cycle

(product) (day) (day) (day) % % I II III IV V

Introduction S S Taiwan 1 8.5 1.0 7.5 100.0% 0.0% 1 0 0 0 0

Offshore 1 8.2 1.0 7.2 0.0% 100.0% 1 0 0 0 0

Growth S S Taiwan 15 6.9 1.2 5.7 80.0% 20.0% 8 5 2 0 0

Offshore 4 7.5 1.6 5.9 75.0% 25.0% 3 0 1 0 0

Maturation S P Taiwan 9 4.9 1.3 3.6 89.9% 11.1% 2 3 2 1 1

Offshore 26 5.1 1.6 3.5 96.2% 3.8% 4 4 8 8 2

Decline P P Taiwan 2 5.3 3.7 1.6 100.0% 0.0% 0 0 1 0 1

Offshore 7 5.4 3.6 1.8 100.0% 0.0% 0 0 1 4 2

Notes: MS = Manufacturing strategy, LS = Logistics strategy, S = Speculation, P = Postponement.

* I: Unit transportation cost / product sale price≦0.01; II: 0.01<Unit transportation cost / product sale price≦0.05; III: 0.05

<Unit transportation cost / product sale price≦0.10; IV: 0.10<Unit transportation cost / product sale price≦0.15; V: 0.15

<Unit transportation cost / product sale price。

Source: The survey in this study.

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