• East Asian Journal of Business Economics (EAJBE)
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• 제9권1호
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• pp.27-39
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• 2021

Purpose - According to the actual change of the logistics concept, the outsourcing activities of companies are actively progressing, and this is proceeding to third-party logistics and fourth-party logistics. This change in logistics situation raises the need for an in-depth understanding of four-party logistics. Research design, data, and methodology - In this study, first of all, the theoretical aspects of changes in the logistics concept are identified, along with the outsourcing and third-party logistics. Finally, the concept of four-party logistics, the background of its introduction, and future prospects will be explored. Result - The meaning of physical distribution is now passing through the existing three-party logistics and entering the era of four-way logistics. In addition, cost reduction and improvement of customer service through advanced logistics strategy can be said to be the company's competitiveness. Through this study, it can be seen that the conceptual change of logistics and the introduction of four-party logistics are closely related to the survival of the company's deficit in the market. Conclusion - In modern society, logistical competitiveness is the competitiveness of a company, and logistical activities of a company can be achieved through the process of entering the four-party logistics from the existing third-party logistics based on outsourcing. Then more customer-oriented service can be provided.

• The Journal of Information Systems
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• 제18권2호
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• pp.127-150
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• 2009

Although many employees in the logistics/small package express companies are using mobile information systems. there is little research on the individual impacts of adopting mobile information systems in the distribution area. Therefore, this study attempts to develop the research model to evaluate individual impacts on using mobile information systems which are frequently utilized in logistics and small package express companies. In order to propose the research model, we attempt to incorporate technology acceptance model and IS success model to evaluate individual impacts on using mobile information systems. To verify the research model, we collected 225 data from staffs who have mobile IT system in distribution and logistics area. We also verified the validity and reliability by using SEM(structural equation modeling). As a results, we found that system use, cognitive judgement and attitude can be the key variables to improve individual impacts by using mobile information system. We further found that perceived usefulness can be ere of the Imp factors to improve the individual impacts. Based on out findings, we can understand that this research model can provide a deeper understanding of individual impacts of mobile information systems.

• Journal of Korea Society of Digital Industry and Information Management
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• 제7권1호
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• pp.173-183
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• 2011

Global logistics including Korea had developed at various fields through the developed IT technology. In addition, in changing into Internet based digital economy times, economic and logistics activities became extending into worldwide over the cross-border. Logistics activity performed by off-line rapidly changed in real environment. But, unfortunately business process modeling about the whole logistics was not happened, even though process modeling had done by transport stages or logistics entities. Therefore, it is difficult to grasp the whole logistics. Additional cost and time was requested due to no association between logistics entities and invisibility. So, this paper has to be process modeling for logistics industry domain. For objective modeling, work area shall be divided and it extracts general work process per each area. And then it defines subprocess of general work process. Cargo tracking in logistics industry domain means to grasp the status and present states at transportation or storage stage. This paper defines business process and data model for electronic processed work area using the UN/CEFACT standard modeling methodology.

• Journal of Navigation and Port Research
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• 제36권9호
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• pp.753-761
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• 2012

To achieve a differential advantage over competitors and protect their long-term interest, shipping lines have striven to find ways to maintain an ongoing relationship with shippers which can be achieved by attaining their loyalty. The benefits of loyal shippers are potentially huge in that they generate long-term revenue streams as well as provide cost savings as compared with attracting new shippers. Logistics service provided by shipping lines is identified as one of the effective tools for building customer loyalty. However, in a review of the literature none of the studies examine how logistics service creates customer loyalty, particularly between shipping lines and shippers. Consequently, the overarching purpose of this paper is to extend knowledge on logistics service performance and its relationship with customer loyalty in the unique context of maritime transport by proposing a new conceptual model based on an extensive literature review. The major contribution is to offer a new insight into the complex relationships between those 'soft' concepts in the context of maritime transport.

• IE interfaces
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• 제19권1호
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• pp.26-33
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• 2006

Many Firms consider the application of a cross-docking system to reduce inventory and lead-time. However, most studies mainly concentrate on the design of a cross-docking system. This study presents the method that selects the cross-docking center under the existing logistics network. Describing the operation environment to apply the cross-docking system, the selection criteria of the cross-docking center, and the main constraints of transportation planning under the environment of multi-level logistics network, we define the selection problem of the cross-docking center applied to a logistics field. We also define the simulation model that can analyze variously the cross-docking volume and develop the selection methodology of the cross-docking center. The simulation model presents the algorithm and influence factors of the cross-docking system, the decision criteria of the system, policy parameter, and input data. In addition, this study analyzes the effect of increasing the number of simultaneous receiving and shipping docks, and the efficiency of the overnight transportation and cross-docking by evaluating each scenario after simulating the scenarios with the practical data of the logistics field.

• Journal of Korea Society of Digital Industry and Information Management
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• 제15권3호
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• pp.89-100
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• 2019

Uniform and integrated college desks and chairs have low efficiency of loading for transportation and delivery and low efficiency of storage for warehousing due to their simple uniform physical properties, thus increasing logistics costs for companies and decreasing their competitiveness. In an effort to overcome the limitations of previous studies, this study analyzed the stages of logistics for desks and chairs in college lecture rooms via the transportation route including the factory warehouses and local warehouses and via the delivery route from local warehouses by the region to the orderers including college lecture rooms. The study developed a model for the rationalization of corporate logistics by making a variable folding desk and chair capable of distance adjustment according to height to replace the uniform and integrated college desks and chairs in lecture rooms. A model was developed between the old uniform and integrated college desks and chairs and the new variable folding desks and chairs for three scenarios of cost development including product storage costs, transportation costs from the specialized factory warehouses to the local warehouses by the region, and delivery costs from the local warehouses to college lecture rooms as the orderer. For the generalization of the model, it was applied to each of the 90%, 95%, and 99% service levels.

• Korean System Dynamics Review
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• 제11권2호
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• pp.45-75
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• 2010

Today, the logistics industry has played a critical role in national economy activities. The low cost and high efficiency of the logistics industry are meaningful in the improvement of national competitiveness and the logistics industry. However, efficiency of logistics is lower than that of the United States and Japan since most quantities are processed in road transportation in Korea. With regard to this, existing studies expected a saving of social and environmental costs due to a decrease of road transportation as well as improvement of logistics productivity due to bulk transportation through activation of rail and costal transport. For the expectation, the existing multimodal transport systems should be improved first. Therefore it aimed to develop scenario-based simulation models of multimodal transport systems for decision makers in charge of improvement in the logistics area. For model development, this study utilized Thinking Process and System Dynamics(TP-SD) methodology.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 한국경영과학회 2004년도 추계학술대회 및 정기총회
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• pp.375-388
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• 2004

As today's business environment has become more and more competitive, forward as well as backward flows of products among members belonging to a supply chain have been increased. The backward flows of products, which are common in most industries, result from increasing amount of products that are returned, recalled, or need to be repaired. Effective management for these backward flows of products has become an important issue for businesses because of opportunities for simultaneously enhancing profitability and customer satisfaction from returned products. Since third party logistics service providers (3PLs) are playing an important role in reverse logistics operations, the 3PLs should perform two simultaneous logistics operations for a number of different clients who want to improve their logistics operations for both forward and reverse flows. In this case, distribution networks have been independently designed with respect to either forward or backward flows so far. This paper proposes a mixed integer programming model for the design of network integrating both forward and reverse logistics. Since this network design problem belongs to a class of NP-hard problems, we present an efficient heuristic based on Lagrangean relaxation and apply it to numerical examples to test the validity of proposed heuristic.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 한국항해항만학회 2012년도 추계학술대회
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• pp.84-85
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• 2012

Continuous oil price rising and the regulation of carbon emmission makes companies to have higher competitiveness. because of this trend, companies are trying to establish and manage efficient logistics system to improve customer service and reduce cost, so more competitive logistics complex is needed. To construct this kind of logistics complex, proper policy and logistics system for transportation is necessary. Especially, efficient operation through establishing system of logistics at the complex is very important for low cost and environmental friendly point of view. So this paper presents logistics network operation model for efficient transportation, especially approaches the problem with Multi-Phase.

• Journal of Korean Society of Industrial and Systems Engineering
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• 제47권2호
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• pp.155-167
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• 2024

Distribution and logistics industries contribute some of the biggest GDP(gross domestic product) in South Korea and the number of related companies are quarter of the total number of industries in the country. The number of retail tech companies are quickly increased due to the acceleration of the online and untact shopping trend. Furthermore, major distribution and logistics companies try to achieve integrated data management with the fulfillment process. In contrast, small and medium distribution companies still lack of the capacity and ability to develop digital innovation and smartization. Therefore, in this paper, a deep learning-based demand forecasting & recommendation model is proposed to improve business competitiveness. The proposed model is developed based on real sales transaction data to predict future demand for each product. The proposed model consists of six deep learning models, which are MLP(multi-layers perception), CNN(convolution neural network), RNN(recurrent neural network), LSTM(long short term memory), Conv1D-BiLSTM(convolution-long short term memory) for demand forecasting and collaborative filtering for the recommendation. Each model provides the best prediction result for each product and recommendation model can recommend best sales product among companies own sales list as well as competitor's item list. The proposed demand forecasting model is expected to improve the competitiveness of the small and medium-sized distribution and logistics industry.