• LOGISTICS
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• v.2 no.3 s.5
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• pp.22-23
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• 2004

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1167-1176
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• 2004

Along the advent of Internet technology, the computing environment has been considerably changed in many application domains. Especially, a lot of researches for e-Logistics have been done for the last 3 years. The e-Logistics means the virtual business activity and service architecture among the logistics companies based on the Internet technology. To construct effectively the e-Logistics framework, researches on the development of the Moving Object Technology(MOT) including GPS and GIS with spatiotemporal databases technique so far has been done The Moving Object Technology stands for the efficient management for the spatiotemporal objects such as vehicles, airplanes, and vessels which change continuously their spatial location along with time flows. However, most systems manage just only the location information detected lately by many reasons so that the uncertainty processing for the past and future location of the moving objects is still very hard. In this paper, we propose the moving object uncertainty model and system design for e-Logistics applications. The MOMS architecture in e-Logistics is suggested and the detailed explain of sub-systems including the uncertainty processor of moving objects is described. We also explain the comprehensive examples of MOMS and uncertainty processing in Delivery Parcel Application that is one of major application of e-Logistics domain.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.3
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• pp.35-47
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• 2004

Telematics and LBS is one of rapidly emerged technology domains. In order to efficiently construct them, moving object technology which manages huge volume of real-time location data is required. Especially, the query which obtains special sorts of information closely related to the detailed applications is required in order to effectively retrieve and analyze the location data for moving object in logistics domain. It has also complex query structure comparing to the conventional database query. The approach using the standard database query language, like SQL, can be considered as an effective alternative choice. In this paper, we not only propose a new query language, entitled as MOQL based on SQL, for the query processing of the vehicle monitoring and control in e-Logistics but also design and implement the query processor.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.141-143
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• 2013

경제의 글로벌화로 항만과 해운산업은 경쟁이 가장 치열한 대표적인 산업분야로 자리매김하고 있다. 이에 따라 과거 항만간, 선사간 경쟁에서 최근들어서는 이들이 속한 전체 logistics chain 간의 경쟁으로 확대되고 있다. 이같은 항만과 해운의 경쟁구조 변화로 logistics chain 참여자들(터미널운영사, 정기선사 등)의 성공은 자신만의 경쟁력에 좌우되지 않고 오히려 이들이 속한 전체 logistics chain의 경쟁력에 달려 있다. 특히 logistics chain 참여자들은 새로운 경쟁환경에 대응하여 경쟁력을 제고하고자 상호 수평적 또는 수직적 협력관계를 강화하고 있다. 이에 본 논문에서는 항만의 경쟁구조 변화를 검토한 후 우리 항만의 대응방안을 제시하고자 한다.

• The KIPS Transactions:PartD
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• v.11D no.6
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• pp.1231-1238
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• 2004

By virtue of the advanced Internet technology, there are lots of research works for e-Logistics which means virtual business activities or service architecture based on the Internet among the logistics companies. Because e-Logistics environment requires more dynamic and global service area, conventional vehicle monitoring and control technologies innate many problems in terms of Integrating, storing and sharing the location data. It needs the development of the moving object technology in order to resolve efficiently the limitations. In this paper, we propose the whole components of the moving object management system which supports the advanced sharing the location information as well as the integration of location data. We are sure the suggested system can be adopted to construct the next generation-logistics vehicle monitoring and control system by reducing the overall cost and time.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.6
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• pp.159-169
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• 2020

A cold chain logistics (CCL) model for chilled food (-1℃ to 8℃) distributed in China was developed in this study. The CCL model consists of a distribution center (DC) and distribution target points (DT). The objective function of the CCL model is to minimize the total distribution routes of all distributors. To find the optimal result of the objective function, the hybrid genetic algorithm (HGA) approach is proposed. The HGA approach was constructed by combining the improved K-means and genetic algorithm (GA) approaches. In the case study, three scenarios were considered for the CCL model based on the distribution routes and the available distance, and they were solved using the proposed HGA approach. Analysis results showed that the distribution costs and mileage were reduced by approximately 19%, 20% and 16% when the proposed HGA approach was used.