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Deriving industrial logistics hub reference models for manufacturing

based economies

Charles V. Trappey

a

, Gilbert Y.P. Lin

b

, Amy J.C. Trappey

b,c,*

, C.S. Liu

d

, W.T. Lee

d a

Department of Management Science, National Chiao Tung University, 1001, University Road, Hsinchu 30013, Taiwan b

Department of Industrial Engineering and Engineering Management, National Tsing Hua University, 101, Section 2, Kuang Fu Road, Hsinchu 30013, Taiwan c

Department of Industrial Engineering and Management, National Taipei University of Technology, 1, Section 3, Chung Hsiao E. Road, Taipei 10608, Taiwan d

Identification and Security Technology Center, Industrial Technology Research Institute, 195, Section 4, Chung Hsing Road, Chu Tung, Hsinchu 31040, Taiwan

a r t i c l e

i n f o

Keywords:

Logistics hubs Global supply chain Logistic service providers (LSP) Logistic hub survey

a b s t r a c t

Global enterprises require extended logistics operations that integrate channel intermediaries into the network. The method for deriving integrated models for logistics hubs that improve the efficiency of manufacturers’ global operations is the focus of this paper. Under government sponsorship, six industrial logistics hubs were implemented by leading manufacturing sectors across Taiwan over a five year period from 2004 until 2008. Each industry sector had unique industry characteristics, business strategies, and logistics models. Therefore, this paper describes how generalized and quick to implement integrated logistics hubs are developed by studying the successful reference models and systems used by six inde-pendent industrial sectors. The research results provide a field tested method for deriving integrated logistics hub models in different manufacturing economies with notes that provide sufficient methodo-logical detail for repeating the construction of logistics hubs in other manufacturing economies.

Ó 2010 Elsevier Ltd. All rights reserved.

1. Introduction

The means by which industries strengthen and enhance supply chain efficiency and decrease logistics management costs are crit-ical factors for economic development and serve as reference mod-els for transferring technologies to developing economies. In order to assist industry in the construction of new logistics hubs across industry sectors, the Taiwan Department of Commerce, the Minis-try of Economic Affairs, commissioned the Identification and Secu-rity Technology Center of the Industrial Technology Research Institute (ITRI) to execute a five year integrated logistics and busi-ness hub development project from the years 2004 to 2008. The goal of the project was to assist industry to integrate information flows (via a business hub) and material flows (via a logistics hub) to facilitate global supply chain linkage. The business hub provided information sharing, management and control for raw materials and components procurement, inventory level keeping, transporta-tion tracking, customs clearance services, customer order process-ing, and other activities at the request of supply chain participants. The logistics hub is operated by Logistics Service Providers (LSPs)

that manage shipment consolidation, warehousing, transportation, packing, collaborative replenishment and tax bonded warehousing. The general operation model for the integrated industrial logistics hub is shown inFig. 1.

The development project positions manufacturers as the leaders to form the strategic alliances with trading partners (suppliers, customers, carriers, forwarders, and transportation companies) acting as the primary financiers of the integrated hub. The functional goal of the hub is to integrate supply chain resources, provide real-time material supplies, ensure information transpar-ency, improve logistics efficitranspar-ency, and increase customer service quality. Another goal of the project is to encourage the aligned partners to outsource tasks to domestic LSPs. The LSPs receive de-tailed requirements from the industry sectors and receive financial incentives to develop professional and globally oriented services. The steps taken for the development project are shown inFig. 2. With the goal of hub integration as a prerequisite, the manufactur-ers derived the specifications according to the scope of the project:  Provide an integrated plan for the materials and components

supply chain and product demand chain operations.

 Develop an inbound shipping system for the materials and com-ponents purchasing and outbound shipping system for product ordering.

 Provide an order tracking and query system for the materials and components supply chain that satisfies the requirements of global product demand.

0957-4174/$ - see front matter Ó 2010 Elsevier Ltd. All rights reserved. doi:10.1016/j.eswa.2010.05.015

* Corresponding author at: Department of Industrial Engineering and Engineer-ing Management, National TsEngineer-ing Hua University, 101, Section 2, Kuang Fu Road, Hsinchu 30013, Taiwan. Tel.: +886 3 5742651; fax: +886 3 5722204.

E-mail addresses:trappey@faculty.nctu.edu.tw(C.V. Trappey),trappey@ie.nthu. edu.tw(G.Y.P. Lin),trappey@ntut.edu.tw(A.J.C. Trappey),WT_Lee@itri.org.tw(W.T. Lee).

Contents lists available atScienceDirect

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 Develop an inventory and safety stock management system for products, materials, and components.

 Develop a goods tracking and query system for products, mate-rials, and components.

 Develop a collaborative planning, forecasting, and replenish-ment (CPFR) system.

 Perform a pilot test for the global logistics hub.

 Implement global standard radio frequency identification (RFID) application systems where appropriate and cost effective.

Each development project started on the date the manufacturer passed a peer review. The development project executive agent

(ITRI) was designated by the government to sign contracts with the selected companies and offer consulting services. The manufac-turer was responsible for executing the steps of the proposal and was required to pass a midterm evaluation and final review. An on-site visit was scheduled for the final evaluation of the newly developed logistics facilities. The review committee checked the achievements, key performance indicators (KPIs), and the docu-ments and systems listed in the proposal. Further, the review com-mittee asked questions and provided suggestions for future hub development. Each company was required to reply to all commit-tee requests and report all changes and modifications.

This paper describes the implementation of six industries’ inte-grated logistics hubs over a five year period. Some manufacturers

Overseas

Manufacturers

Logistics Hub

(3PL)

Global

Supply Chain

& Consumers

Goods Replenishment Goods Receiving Inventory Information

Domestic

Suppliers

Domestic

Manufacturers

Overseas

Suppliers

Materials, Parts Finished Products, Parts Materials, Parts Materials, Parts Procurement Order Demand Forecast Replenishment Shipping Instructions Goods Receiving Goods Tracking Order Tracking

Inventory Query Physical Flow

Information Flow Order Confirmation Goods Tracking Shipping Instruction Procurement Order Demand Forecast Replenishment Procurement Order Demand Forecast Procurement Order Demand Forecast Shipping Instructions Goods Receiving Goods Tracking Order Tracking Inventory Query Order

Business Hub

Finished Products, Parts Finished Products, Parts

Overseas

Manufacturers

Logistics Hub

(3PL)

Global

Supply Chain

& Consumers

Goods Replenishment Goods Receiving Inventory Information

Domestic

Suppliers

Domestic

Manufacturers

Overseas

Suppliers

Materials, Parts Finished Products, Parts Materials, Parts Materials, Parts Procurement Order Demand Forecast Replenishment Shipping Instructions Goods Receiving Goods Tracking Order Tracking

Inventory Query Physical Flow

Information Flow Order Confirmation Goods Tracking Shipping Instruction Procurement Order Demand Forecast Replenishment Procurement Order Demand Forecast Procurement Order Demand Forecast Shipping Instructions Goods Receiving Goods Tracking Order Tracking Inventory Query Order

Business Hub

Finished Products, Parts Finished Products, Parts

Fig. 1. The integrated business and logistics hub.

Integrated Industrial

Logistics Hub Plan

Operating Guidelines

for Development Project

Announcement and

Advertisement

Accept

Proposal

Peer Review

Panel

Project Progress

Report

Midterm

Evalutation

Final On-Site Visit

and Examination

Achievements

Published

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invested in RFID technology (e.g., RFID electronic seals and an Elec-tronic Product Code Network) to enhance operational performance and reduce management costs. Since different industries have their own character, business strategies, and logistics models, the prob-lems and the corresponding solutions of different manufacturers are described in Section2. Section3depicts the case companies’ implementation experience and presents the future outlook for other companies and industry sectors. Finally, conclusions are drawn in Section4.

2. The development of integrated logistics hubs

The integrated logistics hubs were developed for six industrial sectors that linked 986 upstream and downstream supply chain manufacturers, 25 logistics service providers, and 11 information service providers. Approximately US $9.7 million in combined pub-lic and private funding was required to complete the project. The achievements and benefits of the integrated logistics hubs for each industry sectors are provided in Table 1 and are described as follows.

Electronics industry. Long lead times for procurement and high inventory costs were found to complicate the integration of mate-rial and information flows. The manufacturers often lack real-time communications between upstream and downstream supply chain

members. In addition, repeated data entry from manual operations and inefficient labor handling decreased logistics efficiency. For these reasons, when the project was proposed and implemented from 2004 to 2005, the following specifications were added. First, the logistics hub was required to support shipment consolidation from multiple suppliers and to stabilize material supply. The logis-tics service providers were also advised to enhance their logislogis-tics efficiency. Second, a business hub was required to integrate logis-tics information from the aligned members including inventory and safety stock management, order tracking management, goods tracking management, demand forecasting management, and col-laborative replenishment management. The logistics model of the electronics industry, shown inFig. 3, represents a reference model for global logistics operations. The inventory and overseas delivery with respect to finished products are controlled primarily by the logistics hub.

Automotive industry. The logistics operations for finished cars are managed by different brands’ dealers at different locations. Each dealer follows its own pre-delivery inspection (PDI) and ret-rofit operations which resulted in a redundant use of resources. Finished goods were often damaged during the transportation processes and landing times were too long. Dealers required a long order-to-delivery lead time and used the telephone to track the delivery status. Further, the slot spaces and materials in the

Table 1

Comparing achievements and benefits of six manufacturing sectors.

Manufacturer Achievements Benefits

Conventional electronics industry

1. Logistics hub implementation: Support shipment consolidation and stable material supply.

2. Business hub implementation: Integrate logistics information and related functions.

1. Upgrade information systems to share and exchange logistics information

2. Reduce inventory by increasing supply chain inventory visibility 3. Use E-document to replace fax and telephone

4. Shorten supply chain shipping time by integrating order processing operations

Automotive industry

1. Export aftermarket parts hub: Build an RFID-based goods tracking system for export parts

2. Aftermarket parts hub for domestic sales: Integrate the logistics operations of aftermarket parts for different dealers

3. Crate a locally manufactured automobile hub: Centralize the retro-fit operations and inspections

4. Create multi-brands automobile import hub: Perform pre-delivery inspection and deliver cars directly to dealers

5. Export automobile hub: Control the automobile export processes 6. Multi-brands automobile production line hub: Merge the

multi-brands’ production lines into one

7. Knock-down imported parts hub: Set up a tax bonded warehouse within manufacturer’s factory

1. Reduce dealer’s order-to-delivery lead time

2. Integrate pre-delivery inspection and retrofit operations at the Taipei Port

3. Outsource logistics operations to professional logistics service pro-viders to decrease operational costs and encourage innovation 4. Provide timely shipment status via an RFID-based goods tracking

system. Decrease landing times to reduce the potential risk of dam-age to automobiles in port

5. Build an automatic material supply and replenishment system to save factory space, manpower, and cost. In addition, the suppliers can directly ship materials and parts to the assembly line

Integrated circuit industry

1. Hong Kong transfer hub implementation: Fulfill logistics service with logistics service providers from Taiwan and Hong Kong 2. Taiwan logistics hub implementation: Establish RFID-based

incoming and outgoing shipment operations

3. Overseas logistics hub implementation: Offer vender managed inventory services for overseas customers

4. Business hub implementation: Develop a supply chain information platform

1. Outsource logistics operations to decrease the logistics cost (limited space and high rental) and let the manufacturer focus on core competencies

2. Vendor managed inventories enhance service quality and provide an international competitive advantage

3. Enhance supply chain information transparency to balance demand and supply and decrease inventory levels

4. Increase the data exchange efficiency with customers to improve order processing, and shipment processing

Automotive materials supply industry

1. Logistics hub implementation: Apply the joint-inventory and joint-distribution mechanism

2. Business hub implementation: Integrate logistics information between upstream and downstream members

1. Institutionalize the joint-inventory and joint-distribution mecha-nism to increase shipment speed and share logistics costs 2. Establish a new third party logistics company to assist supply chain

participants as active members of the logistics operations Automotive

aftermarket parts industry

1. International transportation and trade channel construction: Ful-fill logistics service with logistics service providers from Taiwan and North America

2. Supply chain management system implementation: Integrate and manage logistics information

3. RFID-based goods tracking system implementation: Monitor the export container throughout the journey to abroad customers

1. Achieve tighter corporation within suppliers and promote industry upgrade

2. Shorten supply chain response time, deliver goods on-time, and increase customer satisfaction

3. Enhance the container and goods tracking ability and logistics ser-vice quality

Semiconductor manufacturing industry

1. Vendor managed inventory logistics hub implementation: Provide better warehouse management for stable material supply 2. Business hub implementation: Build visible information

connec-tions between suppliers, manufacturers, and logistics service providers

1. Logistics service providers take charge of the logistics hub operations and consolidate goods shipments from multiple suppliers 2. Using vendor managed inventories, the lead time is shortened (from

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warehouse of the car factory were insufficient due to the large number of parts requiring frequent replenishment. Following the analysis, the five year project focused on the creation of hubs for the export of aftermarket parts, the domestic sales of aftermarket parts, the import of automobiles, the export of automobiles and knock-down parts, and the creation a brand name production line. The specifications required building an RFID-based goods tracking system for the export aftermarket parts to increase information transparency and customer satisfaction. For the domestic market, the hub was designed to integrate the logistics operations of after-market parts for different dealers and construct an automatic replenishment mechanism. Since the manufacturer wanted to cen-tralize the retrofit operations and inspections, RFID technology was used to control and monitor finished cars. The storage facility was designed so that cars could be imported into a bonded warehouse at the Taipei Port. Upon off-loading from ships, pre-delivery inspection was performed and delivered directly to dealers to re-duce the risk of damaging the automobiles. In order to better con-trol automobile export processes, inland transportation, export preparation, and dock loading operations, RFID technology tracking was implemented. The hub recruited local logistics service provid-ers with sufficient skill and capital to adopt the new technology. The manufacturer merged the multi-brand production lines into

a single line for small-quantity demand. The hub utilized an auto-matic material supply and replenishment system to save factory space, manpower, and cost. For knock-down parts, the manufac-turer set up a tax bonded warehouse within the factory. The import parts are stored in the hub and are then assembled into cars before shipping overseas. This approach simplifies the tax refund pro-cesses and reduces the customs duties fees. The logistics model of this industry is shown inFig. 4.

Integrated circuit industry. The logistics operations for the inte-grated circuit manufacturers were overloaded and provided insuf-ficient automation for emergency orders and order status management. Since most customers wanted a vendor managed inventory service, the recommended approach shortened lead times and transportation distances. Low information transparency and a lack of visibility lead to high inventory levels and long lead times. When the project was implemented, the Hong Kong transfer hub, the Taiwan logistics hub, an overseas logistics hub, and a busi-ness hub were simultaneously developed.Fig. 5depicts the logis-tics model of this industry. The first step for the manufacturer was to construct an international logistics channel for finished products moving from Taiwan to Hong Kong and to outsource re-lated logistics operations including warehousing, transportation, export operations, custom clearance, and tax bonded processes.

Internal Region

External Region

Domestic Suppliers Domestic Manufacturer Foreign Customers

Product Flow

Information Flow

Foreign Suppliers Foreign Manufacturers

Domestic Logistics Hub

(Japan, China, Southeast

Asia, Europe)

Fig. 3. The reference logistics model for the electronics industry.

Domestic Suppliers Domestic Manufacturer Foreign Customers Foreign Suppliers Domestic Logistics Hub

(Japan, China,

Philippines)

Domestic Dealers Foreign Logistics Hub Seaport Logistics Hub (Malaysia, Mexico)

Internal Region

External Region

Foreign Manufacturers

Product Flow

Information Flow

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The goal of the Taiwan logistics hub was to use RFID to better man-age incoming and outgoing shipment operations. The overseas logistics hub implemented vender managed inventory services for overseas customers and the business hub provided a supply chain information platform to manage order processing, shipment processing and tracing, material and parts receiving, inspection, and inventory control.

Automotive materials supply industry. The automotive materials supply industry reported difficulties delivering goods to location on-time. In addition, the distribution costs were high due to wide spread geographic distribution and the over use of phone commu-nications. Unable to provide professional services, the manufac-turer had reached a deadlock in development. When the hubs were implemented, several key steps were taken to improve effi-ciencies. The manufacturer transferred its original transportation fleet, warehouses, operators, and equipment to the hubs operated by a third party logistics company.Fig. 6illustrates the logistics model of the automotive materials supply industry. The three hubs which are established in the northern, central, and southern re-gions of Taiwan used a joint-inventory and joint-distribution pro-cess to consolidate goods shipments from multiple suppliers to multiple customers. The development target for the business hubs were to implement a supply chain management system to inte-grate logistics information from upstream and downstream

mem-bers and to include order processing, transportation, goods tracking, and replenishment information.

Automotive aftermarket parts industry. The automotive aftermar-ket part company was under great pressure to shorten due dates and provide an online shipment status for dealers in North Amer-ica. The development project rebuilt the supply chain management system and added an RFID-based goods tracking system. In order to improve tracking between distribution and transportation ser-vice providers in Taiwan and North America, the design of the RFID network became the key focus of the project. A new supply chain system integrated logistics information with RFID technology to track export containers from the production line, to inland trans-portation, to the dock terminal, to the overseas container terminal, and finally to the overseas logistics hub as shown inFig. 7. The model utilizes external distribution resources (a foreign wholesal-ers’ logistics hub) for transporting finished products to North American customers.

Semiconductor manufacturing industry. Raw materials are inter-nationally sourced and supply is frequently uncertain in the semi-conductor manufacturing industry. The suppliers use real-time replenishment systems, but low information transparency causes longer lead times and slow reactions to shortages. Thus, the manufacturer experienced difficulty managing raw material inven-tories. This project focused on creating a vendor managed logistics

Domestic Suppliers Domestic Manufacturer Foreign Customers Domestic Logistics Hub Foreign Logistics Hub (Hong Kong)

Internal Region

External Region

Domestic Customers Foreign Logistics Hub Foreign Customers (Hong Kong, China)

Product Flow

Information Flow

Fig. 5. The reference logistics model for the integrated circuit industry.

Internal Region

External Region

Domestic Suppliers and Agents Northern

Logistics Hub Domestic Maintenance Shops and Wholesalers Foreign Suppliers Central Logistics Hub Southern Logistics Hub

Product Flow

Information Flow

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hub and a manufacturer’s business hub. The logistics hub provides warehouse management, real-time delivery, and replenishment for material supplies. The business hub provides information sharing between suppliers, manufacturers, and logistics service providers while integrating procurement, order processing, storage, goods tracking, and the replenishment of materials (Fig. 8).

2.1. Problems and solutions for the industrial sectors

This section describes the deficiencies and problems experi-enced by the six companies implementing the hubs. The solutions are provided as references for future companies planning to imple-ment logistics hubs. Some of the business models impleimple-mented initially failed to demonstrate improved logistics performance be-tween manufacturers, suppliers, and logistics service providers. The manufacturer reviewed the supply chain and provided the rec-ommendations for hub improvement. Some suppliers disputed the new logistics policy during the initial promotion and implementa-tion. Therefore, the manufacturer convened supplier seminars to explain the suppliers’ responsibility and reinforce the direction and goal of the project to achieve success.

Domestic service providers are mostly small and medium sized enterprises with limited capability to operate logistics hubs. The manufacturers interviewed several companies to select candidates willing to create new logistics operation models based on the requirements and capabilities. The project sponsors used key

per-formance indicators to evaluate improvements for all aspects including information transmission. Some of the supply chain members had ERP or MRP systems but others simply used PCs, fax-es, and telephones. The manufacturers used two approaches (application-to-application and web-based) to exchange data for different levels of computerization among partners.

During the system requirement development phase, manufac-turers experienced difficulty collecting and coordinating different departments’ data and opinions. The manufacturers added a pro-ject executive with the authority to control resources, hold monthly meetings, and monitor the progress of each department. There was also difficulty with RFID including low recognition by the tag readers and the high cost of equipment. Therefore, a tech-nology review was conducted to assist the logistics service provid-ers and manufacturers to purchase and implement RFID equipment.

2.2. Logistics outsourcing preference analysis

The outsourcing preferences of manufacturers in the automo-bile industry were analyzed using clustering techniques. The K-means clustering algorithm was used to group manufacturers based on their preference attributes and thus provide better aligned logistic services.Table 2lists the seven logistics activities defined for full outsourcing, partial outsourcing, and self-manage-ment categories. The data were collected from 98 manufacturers

Internal Region

External Region

Domestic Suppliers

Domestic Manufacturers with Functions of Logistics Hub

Domestic Customers Foreign Customers Foreign Suppliers Contracted Foreign Wholesalers with Functions

of Logistics Hubs Domestic Agents (North America)

Product Flow

Information Flow

Fig. 7. The reference logistics model of the automotive aftermarket parts industry.

Internal Region

External Region

Domestic Suppliers Domestic VMI Logistics Hub Foreign Suppliers Domestic Manufacturers Domestic Customers

Product Flow

Information Flow

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that managed to varying degrees their own logistics activities ex-cept for distribution and delivery services (Trappey, Trappey, Huang, & Lin, 2009). In particular, customer order management, after-sales services, logistics information analysis, and returns and recycling services, remain under the companies’ self-manage-ment. The statistical analysis of the surveys showed great potential for developing logistic hubs and outsourcing additional services to LSPs.

The manufacturers’ preferences for outsourced logistic services are divided into basic and advanced services. The customer’s pref-erences are shown inTable 3. In terms of basic logistics services, on-time delivery, satisfying the customers’ standard operating pro-cedure, maintaining products in good condition, providing a conve-nient domestic service network, providing flexible distribution capabilities based on quantity, and lowering the processing cycle for orders were the most valued preferences. For advanced logistics services, the establishment of online information systems, the de-sign of customized logistics service based on product characteris-tics, reasonable pricing, warehouse security and insurance, information security, real-time logistics tracing, and the provision of the deliverers’ contact information, were rated as the manufac-turers most valued preferences. The survey data support manage-ment policies that these services and attributes are critical to successful industrial logistics hub development.

3. Future outlook for integrated logistics hubs

The future outlook provides generalized suggestions for govern-ment and industry to develop industrial logistics hubs. The future outlook includes logistics outsourcing services, information and communication technologies, supply chain security, general model and key performance indicators, green environmental protection, and cooperation with free trade zones.

3.1. Logistics outsourcing services

Globalization and competitive pressures have re-emphasized the importance of the LSPs (Choy et al., 2008). Logistics outsourc-ing is an accepted strategy for modern supply chain management (Sohail & Sohal, 2003) and is critical to link logistics hub with domestic LSPs. Multinational firms are decentralizing their logistic operations in order to focus on core business tasks such as research and development, manufacturing, and marketing (Carbone & Stone, 2005).

In Morgan Stanley’s report (Ho & Lim, 2001), LSPs are classified ranging from first party logistics (1PL) to fifth party logistics (5PL). The 1PL (i.e., manufacturer) essentially owns and handles all

self-logistics functions. The 2PL provides a small number of conven-tional services such as trucking and warehousing. The 3PL per-forms a large portion of clients’ supply chain logistics activities. The 4PL provides integrated logistic services for the logistics out-sourcing requirements and the 5PL focuses on providing e-logistics solutions for the entire supply chain. According to the survey by Industrial Economics & Knowledge Center (IEK), Taiwan’s LSPs are mainly 1PL (28.7%) and 2PL (58.2%). Consisting mostly of small and medium sized enterprises (SMEs), these companies only pro-vide basic logistics support and services to their customers. Few LSPs provide services for customers’ primary supply chain and logistics activities. The 3PLs, 4PLs, and 5PLs contribute 9.8%, 1.9%, and 1.4%, respectively to the supply chain. Taiwan’s LSPs are mostly providing basic storage and transportation services for their customers.

Since the majority of manufacturers seldom outsourced their logistics services, they found it difficult to select qualified 3PLs dur-ing the project implementation. Manufacturers needed a means to evaluate the LSPs’ service quality, logistics network, and informa-tion technology. Some manufacturers have their own logistics department and found logistics outsourcing a contradiction to their to traditional management practices whereas others found converting their logistics departments into an independent 3PL company as an attractive investment strategy.

The abilities and services of Taiwan’s LSPs are insufficient when compared to foreign large-sized competitors. The leading foreign Table 2

The outsourcing status quo of surveyed manufacturers (Trappey et al., 2009) Logistics activity Outsourcing percentage

Total outsourcing Partial outsourcing Self-management 1. Customer order management 6 14 80

2. Inventory and warehouse management 19 41 40 3. Product circulation processing 22 37 41 4. After-sales services 4 8 88

5. Distribution and delivery services

43 47 10

6. Product logistics information

5 17 78

7. Returned and recycling services

3 11 86

Table 3

The basic and advanced logistic preference analysis (Trappey et al., 2009). Result

category

Preference attributes of customers Mean Standard deviation Basic

logistics services

3. Accurate on-time delivery 4.53 0.65 4. Comply with industrial customers’

logistic operating procedures

4.02 0.81 5. Satisfy logistics services goals

including picking, tallying, packing, sub-packaging, examination, and assembly

3.91 0.75

6. Maintain products in a good condition for all the loading and unloading operations

4.41 0.64

7. Convenience of domestic service network

4.15 0.69 8. Irregular distributing capability based

on quantity

4.19 0.70 9. Flexible distribution capability based

on emergency demand

3.97 0.68 10. Processing cycle and efficiency per

order

4.10 0.75 Advanced

logistics services

11. Establish an online information system

4.03 0.74 12. Design customized logistics services

based on products’ characteristics

4.08 0.714

13. Reasonable price 4.30 0.68

14. Provide staff with good service attitude and efficiency

3.73 0.83 15. Good attitude provided when

managing complaints and compensation

3.91 0.80 16. Set up warehouse and inventory

stocking based on intermediaries location

3.99 0.77

17. Supplier capable of vendor managed inventories

3.92 0.83 18. Bundle customers’ advertisement

and promotion with the product

3.48 0.66 19. Capable of promoting warehouse

security and insurance

4.04 0.69 20. Provide secure and confidential

information

4.06 0.67 21. Provide online real-time tracking 4.22 0.73 22. Provide deliverers’ contact

information

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LSPs such as DHL, UPS, and FedEx have used mergers, acquisition, and alliances to gain competitive advantage. This research suggests that the industrial logistics hub can be developed by second and third tier LSPs. Other than extending the scope and depth of their physical logistic services, domestic LSPs should enhance their information technology capability and adopt horizontal and verti-cal integration via strategic alliances among business partners. Horizontal integration between the same business groups can in-crease the economy of scale. The vertical integration between busi-ness groups within the long-term improve information transparency and supply chain visibility.

3.2. Information and communication technologies

While relying more on logistic outsourcing services, enterprises simultaneously increase the collaboration with their supply chain partners. Besides establishing virtual enterprise, they also integrate their information management. According to Aberdeen Group’s (2006) global supply chain benchmark report, most companies state that supply chain process visibility is their top concern. Three-quarters of the firms lack enterprise-wide automation for global supply chain processes. Among the top 10 information and communications technology enhancements planned and imple-mented included ‘‘expanding the number of trading partners by providing status information,” ‘‘incorporating additional status events,” and ‘‘adding warning alerts”. In addition, over half of the survey respondents indicated that they wanted to add RFID and mobile technologies into their supply chain.

The information flow of industrial logistics hub is divided into two parts including physical goods’ real-time status information, and supply chain information sharing and transmission. In order to track logistics status, enterprises collect information across the supply chain. The barcode is widely used but has limited capacity for storing information and the print quality directly affects its readability. Furthermore, barcodes require time to identify large number of objects since each item must be manually scanned ( Sa-hin, Dallery, & Gershwin, 2002). The RFID is expected to revolution-ize the supply chain by offering timely and unique tracking capability for products (Lekakos, 2007).Gao et al. (2004)have out-lined the advantages of replacing RFID with traditional bar codes. The benefits of RFID include better tracking of product logistics (Lee & Park, 2008), improved efficiency and accuracy in warehouse management (Poon et al., 2009), reduced counterfeits, and better control of stealing (Lu, Bateman, & Cheng, 2006).

Although RFID offers a number of significant advantages and has found applications in many industrial sectors, there are still few firms implementing RFID. Since the cost of RFID software and equipment has restricted many popular RFID applications, domestic industry sectors and LSPs are at the early stage of adop-tion. The implementation of RFID often results from customer mandates and collaboration. Before implementing the RFID sys-tems, firms must identify their needs and justify the costs of using return-on-investment (ROI) to evaluate the long-term viability. Each company must evaluate product options and the impact of different functions on their business process. Firms should also fol-low the evolution of RFID standards closely. Since international standards evolve over time, firms must be aware of the latest trends and innovations in order to develop a sustainable global RFID strategy. Often many advanced technologies such as mobile technology, wireless, global positioning satellite (GPS), and knowl-edge-based reasoning technology have recently been applied to manufacturing, and logistics services (Chow, Choy, Lee, & Chan, 2005; Giaglis, Minis, Tatarakis, & Zeimpekis, 2004; Prater, Frazier, & Reyes, 2005).Kim, Yang, and Kim (2008)report that firms can achieve a distinct competitive advantage through innovative infor-mation technology (i.e., RFID and mobile technologies), which

en-ables the creation of e-logistics services.Chow, Choy, Lee, and Lau (2006)designed an intelligent system that incorporates RFID tech-nology, case-based reasoning (CBR) technique, and route optimiz-ing programmoptimiz-ing model to assist logistics service providers in warehouse resource planning and execution.

Besides collecting the physical goods’ information, enterprises are exploring ways to improve the efficiency of sharing and trans-mitting supply chain information. For supply chain activities, dif-ferent companies use different system architectures, data formats, and system functions (Ho, Trappey, & Trappey, 2004). Building an effective XML-based data exchange mechanism and constructing a logistics information system to manage the logistics and supply chain operations is critical for reducing the time re-quired to process and transmit accurate real-time data (White, Daniel, & Mohdzain, 2005). Enterprises should examine the level of satisfaction and the actual needs for effective use of logistics and supply chain management information systems (Ketikidisa, Kohc, Dimitriadisa, Gunasekarand, & Kehajovae, 2008). There is a deep divide between actual systems and original expectations for business hub systems. Most systems were developed by applica-tion service providers (ASP) for central manufacturers without con-sidering the needs of smaller users (i.e., transporters, suppliers, brokers, and carriers). Thus, the company needs to communicate and reach a common consensus with all system users to gain the maximum benefits for the business hub.

3.3. Supply chain security

The issues of supply chain security and fast customs clearance are creating new ideas and practices such as customs-trade part-nerships against terrorism (C-TPAT), container security initiatives (CSI), and freight security requirements (FSR). Among these secu-rity initiatives, the secusecu-rity and facilitation framework proposed by World Customs Organization (WCO) has become a widely uti-lized standard. WCO SAFE is a voluntary compliance program, which aims to enhance the certainty and predictability of high-risk consignments, provide detection, and secure the seamless move-ment of goods throughout the global supply chain. The SAFE framework consists of four core elements. First, it harmonizes the advance electronic cargo information requirements on in-bound, outbound and transit shipments based on WCO data mod-els. Second, each country that joins the SAFE framework must commit to ongoing risk management to access security threats. Third, the framework requires that at the reasonable request of the receiving nation, the exporting nation’s customs administra-tion will perform the inspecadministra-tion of outbound high-risk containers by non-intrusive detection instruments such as large-scale X-ray inspection machines and radiation detectors. Fourth, it defines the concrete benefits received by businesses that commit to the compliance program.

In addition to the four core elements, the framework is sup-ported by two pillars. The first pillar is the customs-to-customs network arrangement which transfers the responsibility and authority of import custom agents to export custom agents. The customs administrators also apply unique consignment reference numbers that may be used by agents at any point during the cus-toms process. The second pillar addresses the cuscus-toms-to-business partnership. This partnership uses the authorized economic opera-tor concept to enhance cooperation between customs administra-tions and private enterprises. The WCO SAFE participants who voluntarily meet the highest level of security receive benefits such as speedier clearance for low risk consignments, fewer customs inspections, and reduced times for border crossing. The framework pillars involve a set of subordinate standards and detailed explana-tions for field reference (WCO, 2007).

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3.4. General models and key performance indicators

When developing integrated logistics hubs, the improvement or innovation of business models for supply chains and their logistic operations are essential. Researchers have depicted general models for the precision machine tool industry (Trappey, Trappey, Lin, Liu, & Lee, 2006), the optoelectronics industry (Trappey, Trappey, Lee, Hsu, & Lee, 2006) and automobile industry (Trappey, Trappey, Liu, Lee, & Hung, 2008). Further, quantitative analysis and decision models are critical for successful logistic operations. For instances,

Taylor, Meinert, Killian, and Whicker (1999) and Tjokroamidjojo, Kutanoglu, and Taylor (2006) developed an advanced planning and dispatching method for the pickup and delivery of truckloads.

Cheung, Shi, Powell, and Simao (2008) and Leung, Wu, and Lai (2006)proposed quantitative decision models for region-specific cross-boarder logistic problems related to fleet management, dray-age, and shipping operations management between China and Hong Kong.

Applying distinct and appropriate key performance indicators (KPI) are also critical for developing logistics hubs. The KPI must re-veal the performance of each supply chain participant. Each com-pany should establish the KPIs according to the project scope and industry characteristics when building the industrial logistics hub. Fawcett and Cooper (1998) and Keebler and Durtsche (2001)derive the logistics and supply chain KPIs including inven-tory turnover, order fill rate, on-time delivery, transportation cost (inbound and outbound), customer complaints, inventory levels, inventory accuracy, order cycle time, cash to cash cycle time, sup-ply chain response time, perfect order fulfillment, and order pro-cessing response time.

This paper recommends that companies use the supply chain operation reference (SCOR) model to represent business activities and processes. The SCOR model was developed by the Supply Chain Council (SCC) in 1996. Although SCOR is not a standard, the process reference models integrate well-known concepts of business process reengineering (BPR), benchmarking, and best practices analysis into a cross-functional framework that supports supply chain descrip-tion, measurement, and analysis. The SCOR model Version 9.0 (SCC, 2008) has been applied to many practical cases including TFT-LCD manufacturing industry (Lin, Chen, Tsai, Lai, & Huang, 2005). 3.5. Green environmental protection

Corporate social responsibility (CSR) has become one of impor-tant strategies for global enterprises. Growing environmental con-cerns have resulted in the advancement of green supply chain management concepts and practices (Murphy & Poist, 2000). The objective of the green logistics is the improvement in logistics operations, such as transportation, storage, packing, loading, and circulation process, without environmental pollution and excess resource consumption. Green logistics is divided into green for-ward logistics (e.g., green supply logistics, green production logis-tics, green market logistics), and green reverse logistics. Green transportation and storage applies green transportation strategies, plans logistics network and distribution route effectively, and uses green vehicles (e.g. vehicles that burn fuel such as natural gas, alco-hol and gasoline). Green packing and circulation adopt packing that fulfills the 4R request requirement that includes reduction, re-use, reclaim, and recycling). Finally, green reverse logistic con-structs responsible collection and recycling of end-of-life cycle products to reduce pollution and maximize reuse.

3.6. Cooperation with free trade zones

From a logistics perspective, free trade (logistics) zone provides a comprehensive range of logistics services including

consolida-tion, packing, simple or in-depth processing, land, sea, air transpor-tation, storage, and customs clearance in order to achieve the efficient distribution of commodities. Many firms plan to invest in international logistics zones (Lu & Yang, 2007). Therefore, some economic regions (e.g., Singapore, Hong Kong, Korea, and Japan) have constructed or have established international logistics zones to expand the capacity of their existing infrastructure for economic development and global competitiveness.

Taiwan has also followed the trend by developing five interna-tional logistics zones combining with free trade incentives that are called Free Trade Zones (FTZ). These centers are located at the Kee-lung seaport, the Taipei seaport, the Taoyuan international airport, the Taichung seaport, and the Kaohsiung seaport. FTZs in Taiwan benefit companies by providing value-added production facilities, relaxing hiring constraints, and providing savings on shipping tax and duty (Taiwan FTZ, 2010). Further since these within zones are considered outside the normal customs territory, products manufactured in the FTZs can be transported freely and flexibly without import inspection, customs clearance or escorted ship-ment. Companies operating in FTZs can also streamline procedures for granting entry and issuing landing visas for business personnel. Finally, FTZs Permit setup of financial holding companies for for-eign investment and allow offshore banking units (OBUs) to handle foreign currency transactions.

4. Conclusion

Market globalization is increasing the adoption of new business models for product manufacturing and logistic operations. Under these circumstances, the management of supply chains becomes more complicated and necessitates the use of new logistic models to ensure competitive advantage. The aim of this research is to as-sist industry to construct integrated business and logistics hub ref-erence models which offer a cooperative logistics operations environment. The main functions of the industrial logistics hubs are to support information sharing, improve delivery services, and to better manage warehouse management, and customs clear-ance services. This paper describes the architecture of the logistics hubs and reviews the problems and challenges which can occur during implementation. Finally, in order to better serve the global supply chain, the research highlights the future trends in logistics outsourcing services, logistic communications technologies, supply chain security, LSP key performance indicators, green environmen-tal protection, and the development of free trade zones.

Acknowledgement

This research was partially supported by the National Science Council and Industrial Technology Research Institute (ITRI) of Taiwan.

References

Aberdeen Group (2006). Global supply chain benchmark report.

Carbone, V., & Stone, M. A. (2005). Growth and relational strategies used by the European logistics service providers: Rationale and outcomes. Transportation Research E: Logistics and Transportation Review, 41(6), 495–510.

Cheung, R. K., Shi, N., Powell, W. B., & Simao, H. P. (2008). An attribute-decision model for cross-border drayage problem. Transportation Research, Part E, 44, 217–234.

Choy, K. L., Chow, H. K. H., Tan, K. H., Chan, C. K., Mok, E. C. M., & Wang, Q. (2008). Leveraging the supply chain flexibility of third party logistics – hybrid knowledge-based system approach. Expert Systems with Applications, 35, 1998–2016.

Chow, H. K. H., Choy, K. L., Lee, W. B., & Chan, F. T. S. (2005). Design of a knowledge-based logistics strategy system. Expert Systems with Applications, 29, 272–290. Chow, H. K. H., Choy, K. L., Lee, W. B., & Lau, K. C. (2006). Design of a RFID case-based

resource management system for warehouse operations. Expert Systems with Applications, 30, 561–576.

(10)

Fawcett, S. E., & Cooper, M. B. (1998). Logistics performance measurement and customer success. Industrial Marketing Management, 27(4), 341–357. Gao, X., Xiang, Z., Wang, H., Shen, J., Huang, J., & Song, S. (2004). An approach to

security and privacy of RFID system for supply chain. In Proceedings of the IEEE international conference on e-commerce technology for dynamic e-business (pp. 164–168).

Giaglis, G. M., Minis, I., Tatarakis, A., & Zeimpekis, V. (2004). Minimizing logistics risk through real-time vehicle routing and mobile technologies. International Journal of Physical. Distribution & Logistics Management, 34, 749–764. Ho, H., & Lim, C. (2001). The logistics players – From 1PL to 5PL. Morgan Stanley:

China Logistics, 8–9.

Ho, P. S., Trappey, A. J. C., & Trappey, C. V. (2004). Data interchange services using an XML hub approach for the aerospace supply chain. International Journal of Technology Management, 28(2), 227–242.

Keebler, J. S., & Durtsche, A. (2001). Logistics performance measurement and the 3PL value proposition. Logistics Quarterly, 7(2), 10–11.

Ketikidisa, P. H., Kohc, S. C. L., Dimitriadisa, N., Gunasekarand, A., & Kehajovae, M. (2008). The use of information systems for logistics and supply chain management in south east Europe: Current status and future direction. Omega, 36, 592–599.

Kim, C., Yang, K. H., & Kim, J. (2008). A strategy for third-party logistics systems: A case analysis using the blue ocean strategy. Omega, 36, 522– 534.

Lee, D., & Park, J. (2008). RFID-based traceability in the supply chain. Industrial Management and Data Systems, 108(6), 713–725.

Lekakos, G. (2007). Exploiting RFID digital information in enterprise collaboration. Industrial Management and Data Systems, 107(8), 1110–1122.

Leung, S. C. H., Wu, Y., & Lai, K. K. (2006). Cross-border logistics with fleet management: A goal programming approach. Computers and Industrial Engineering, 50, 263–272.

Lin, J. T., Chen, T. L., Tsai, T., Lai, J. J., & Huang, T. C. (2005). A SCOR-based methodology for analyzing and designing supply chain. International Journal of Electronic Business Management, 3(1), 1–7.

Lu, B. H., Bateman, R. J., & Cheng, K. (2006). RFID-enabled manufacturing: Fundamentals, methodology and applications. International Journal of Agile Systems and Management, 1, 73–92.

Lu, C. S., & Yang, C. C. (2007). An evaluation of the investment environment in international logistics zones: A Taiwanese manufacturer’s perspective. International Journal of Production Economics, 107, 279–300.

Murphy, P. R., & Poist, R. F. (2000). Green logistics strategies: An analysis of usage patterns. Transportation Journal, 40(2), 5–16.

Poon, T. C., Choy, K. L., Chow, H. K. H., Lau, H. C. W., Chan, F. T. S., & Ho, K. C. (2009). A RFID case-based logistics resource management system for managing

order-picking operations in warehouses. Expert Systems with Applications, 36, 8277–8301.

Prater, E., Frazier, G. V., & Reyes, P. M. (2005). Future impacts of RFID on e-supply chains in grocery retailing. Supply Chain Management: An International Journal, 10(2), 134–142.

Sahin, E., Dallery, Y., & Gershwin, S. (2002). Performance evaluation of a traceability system. In Proceedings of IEEE international conference on systems, man and cybernetics (SMC) (pp. 210–218).

SCC (2008). SCOR overview version 9.0, Supply-Chain Council, Inc. <http:// www.supply-chain.org/cs/root/scor_tools_resources/scor_model/scor_model>. Sohail, M. S., & Sohal, A. S. (2003). The use of third party logistics services: A

Malaysian perspective. Technovation, 23(5), 401–408.

Taiwan FTZ (2010). <http://www.motc.gov.tw/mocwebGIP/wSite/lp?ctNode= 451&CtUnit=310&BaseDSD=7&mp=8>.

Taylor, G. D., Meinert, T. S., Killian, R. C., & Whicker, G. L. (1999). Development and analysis of alternative dispatching methods in truckload trucking. Transportation Research, Part E, 35, 191–205.

Tjokroamidjojo, D., Kutanoglu, E., & Taylor, G. D. (2006). Quantifying the value of advance load information in truckload trucking. Transportation Research, Part E, 42, 340–357.

Trappey, C. V., Trappey, A. J. C., Huang, A. Y. L., & Lin, G. Y. P. (2009). Automobile manufacturing logistic service management and decision support using classification and clustering methodologies. In Proceedings, the 16th ISPE international conference on concurrent engineering (CE2009), July 20–24, 2009, Taipei, Taiwan.

Trappey, A. J. C., Trappey, C. V., Lee, M. S., Hsu, I., & Lee, W. T. (2006). Modeling the global logistics business processes for optoelectronics firms. In Proceedings, the 2nd international intelligent logistics systems conference (IILS 2006), February 22– 23, Brisbane, Australia.

Trappey, A. J. C., Trappey, C. V., Lin, G. Y. P., Liu, C. S., & Lee, W. T. (2006). The evaluation of advantageous industries and the analysis of their global logistics operations – Case study of precision machine tool industry. In Proceedings, the 13th ISPE international conference on concurrent engineering: Research and applications (CE2006), September 18–22, French Riviera, France.

Trappey, C. V., Trappey, A. J. C., Liu, C. S., Lee, W. T., & Hung, Y. L. (2008). The design and evaluation of a supply chain logistic hub for automobile and parts distribution. Materials Science Forum, 594, 119–131.

WCO (2007). WCO SAFE framework of standards.<http://www.wcoomd.org/files/ 1.%20Public%20files/PDFandDocuments/SAFE%20Framework_EN_2007_for_pub lication.pdf>, 2007.

White, A., Daniel, E. M., & Mohdzain, M. (2005). The role of emergent information technologies and systems in enabling supply chain agility. International Journal of Information Management, 25(5), 396–410.

數據

Fig. 1. The integrated business and logistics hub.
Fig. 4. The reference logistics model for the automotive industry.
Fig. 5. The reference logistics model for the integrated circuit industry.
Fig. 7. The reference logistics model of the automotive aftermarket parts industry.

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