• Journal of Korean Port Research
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• v.13 no.2
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• pp.199-214
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• 1999

Recently leading edge companies use the Supply Chain Management as a competitive weapon to secure and maintain customer loyalty. As a consequency they are concentrating resources on the company’s core business and employing strategic alliances with third-party providers to ensure the company provides its customers’desired logistics service levels at acceptable costs. Under this circumstances this paper surveys the third party logistics as a leading edge logistics industry coping with the progress of the supply chain management. The status and the type of the TPL including the Forwarder are analyzed in the view point of global logistics. Also the development strategy of third party logistics in the future is suggested.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.137-144
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• 2017

The business process of global third party logistics company is defined as a network of logistics activities which involves the products that are manufactured in the developing countries, such as Vietnam, China and so on, and delivered to North or South American countries via intermediate stopover sites. The third party logistics company usually uses proprietary logistics information system to support the related logistics activities. However, each consignor sometimes may require different business process based on the customer type or characteristics of their products. Therefore, the third party logistics company need to modify their business process to reflect customer's requirements, resulting in the modification of logistic information systems and additional costs. Therefore, a flexible mechanism is required to efficiently support the various types of requirements by the owners of the products. In this paper, first, we figured out various business rules related to third party global logistics activities. Second, we grouped the identified business rules into business processes, objects, relations, dependency, policy, representations, execution, and resources and further into precondition, postcondition, and invariant based on checking point in time. Furthermore, the categorized rules are classified into inter-activity and intra-activity rules based on the execution range. Third, we proposed a rule syntax to describe the defined rules into scripts which are understood by user and information system together. When each activity is executed, the rule manager checks whether there are rules related with the activity execution. Finally, we developed a prototype rule management system to show the feasibility of our proposed methodology and to validate it with an example.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1999.10a
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• pp.43-57
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• 1999

Recently, leading edge companies use the Supply Chain Management as a competitive weapon to secure and maintain customer loyalty. As a consequence, they are concentrating resources on the company's core business and employing strategic alliances with third-party providers to ensure the company provides its customers' desired logistics service levels at acceptable costs. Under this circumstances, this paper surveys the third party logistics as a loading edge logistics industry coping with the progress of the supply chain management. The status and the type of the TPL including the Forwarder are analyzed in the view point of global logistics. Also, the development strategy of third party logistics in the future is suggested.

• Journal of Navigation and Port Research
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• v.35 no.1
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• pp.101-112
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• 2011

Nowadays, the third-party logistics is getting special attention as one of the most useful ways to perform the logistics management effectively. In this current trend, however, there are many firms which carry out the logistics activities by themselves and strengthen the competitiveness. In respect of contingency theory, the firms' logistics management types should depend on their logistics environment and characteristics, and then the logistics performances vary with this suitability. In this context, this study analyzed empirically the difference of the logistics performances due to the fitness between their logistics characteristics and the management types. According to the finding, the study showed that the third-party logistics is more suitable when the importance and weight of logistics operation and the weight of their export are greater respectively, and the self-logistics is more suitable when the logistics cost is higher. Futhermore, the study indicated that the firms whose relationship between the characteristics and the management types is fit in their logistics are better than the others in the outcome of logistics cost reduction and the effectiveness of logistics operation.

• Journal of Korean Society of Transportation
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• v.19 no.1
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• pp.17-28
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• 2001

The purpose of this study is to analyze logistics cost of transportation systems on EC(electronic commerce) between company and consumer. Transportation system in logistics is classified by three types on EC. The first type is the direct delivery from supply factory to consumers(type I). The second type is the delivery through distribution center in each area by owner logistics company (type II). The third type is the commission of delivery to the third party logistics company(type III). The logistics of EC has various service characteristics such as dealing with small quantity, various goods, and high frequency. This study assumes that all day's order is delivered on a next day. The logistics cost function is calculated according to the number of orders, delivery distance, transport quantify. and allocated freight trucks for daily order of the subject zone. The logistics cost changes according to the daily order characteristics. Therefore it is simulated to analyze the logistics cost change that considers the type of transportation's order characteristics. As a result of analysis, if the number of order is less than 10 and the quantify of each order is less than 10kg, type III has an advantage over the others And if the number of order is more than 10 and the quantity of each order is more than 10kg, type I has an advantage in the same zone and type II has an advantage in the other zones. This study is limited on the actual application because this study doesn't consider logistics infra of supply company and transport service time. If further study that considers these factors is implemented, it can estimate more accurate logistics cost on EC and propose an efficient freight transport alternatives to the company. This study attributes to estimate the logistics cost change over the frequency of daily order, the quantify of supply goods, and the transport distance on EC.

• Journal of Korea Port Economic Association
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• v.30 no.2
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• pp.145-172
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• 2014

Automobile industry has several characters such as high level of specialization, large volume of production, which plays a big barrier to entry of the industry. Therefore logistics outsourcing of automobile manufacturing company tends to make long-term contract with logistics service provider which also makes it difficult to outsource their logistics business to many different types of companies. Some vehicle manufacturing companies tend to outsource their several logistics to several companies while others outsource very limited number of logistics companies even only one company exclusively. This study aims to investigate various type of logistics outsourcing in terms of advantages and disadvantages and then carry out case study for Hyundai Glovis which is a global logistics company managing logistics service of Hyundai car maker in Korea. The focus is on how it can provide innovative and efficient logistics service with integration of global supply chain of Hyundai Automobile company.

• Journal of Distribution Science
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• v.12 no.4
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• pp.41-46
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• 2014

Purpose - This study focused on providing strategic findings that make significant sense for companies that are looking for a future outsourcing strategy. The study analyzes the results of outsourcing in the information logistics systems field and verifies the results through experimental study of the performance delivered by logistics outsourcing types. Research design, data, and methodology - The study sample was assembled based on a random sampling method used to extract the initial 451 companies from a list of Korean distributors, wholesalers, and retailers. Following that sample process, 423 companies were confirmed by verifying their e-mail address and contacts (telephone and fax numbers), and were selected as initial research subjects. We reduced that number to 331 companies for the survey sample through telephone interviews in advance with the 423 companies that were targeted, in order to verify whether they are in the field of outsourcing of information logistics systems. The period of the survey extended from November 10, 2013 to January 10, 2014. The number of collected surveys totaled 181. We reviewed the contents of the survey responses, and reduced the number of research subjects to 175. In this study, we used a standard analysis to investigate whether there is a difference in distribution results based on different types of outsourcing information in the logistics system field and, through T-verification, we investigated whether the difference between distribution results in each group resulting from that standard analysis is statistically significant. Results - These results show that there is a difference in distribution outcome, based upon type of distribution outsourcing. In addition, we determined that they are meaningful results by confirming that, for usability and to improve the capabilities of a third-party logistics service supplier, both the choice of reasonable outsourcing types and the enhancement of various types of alliances are very important success factors. Taken together these study results, with a goal of enhancing the distribution capabilities of a Korean distributor, can be implemented to enhance management results achievable by supplying an information logistics system in the form of strategic outsourcing rather than in the form of simple outsourcing. In addition, the outcomes of logistics distributors in Korea that are using outsourcing in the logistics information systems field show high performance results in commercial endeavors in the following order: competitive, pre-competitive, non-competitive, and pro-competitive. Conclusions - This study focused on providing strategic findings. However, in the case of outsourcing in the field of information logistics systems of Korean distributors, there has been a focus on simple outsourcing rather than on strategic outsourcing; furthermore, there has been a concentration on non-competitive forms instead of pro-competitive forms, which could achieve better distribution results. This discussion is presented in more detail in the analysis results of this study.

• Industrial Engineering and Management Systems
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• v.11 no.3
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• pp.288-298
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• 2012

Lot sizing and shipment scheduling are two interrelated decisions made by a manufacturing plant and a third-party logistics distribution center. This paper analyzes a dynamic inbound ordering problem and shipment problem with a freight container cost, in which the order size of multiple products and single container type are simultaneously considered. In the problem, each ordered product placed in a period is immediately shipped by some freight containers in the period, and the total freight cost is proportional to the number of containers employed. It is assumed that the load size of each product is equal and backlogging is not allowed. The objective of this study is to simultaneously determine the lot-sizes and the shipment schedule that minimize the total costs, which consist of production cost, inventory holding cost, and freight cost. Because the problem is NP-hard, we propose three meta-heuristic algorithms: a simulated annealing algorithm, a genetic algorithm, and a new population-based evolutionary meta-heuristic called self-evolution algorithm. The performance of the meta-heuristic algorithms is compared with a local search heuristic proposed by the previous paper in terms of the average deviation from the optimal solution in small size problems and the average deviation from the best one among the replications of the meta-heuristic algorithms in large size problems.