• 한국항만경제학회지
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• 제21권3호
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• pp.191-217
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• 2005

Ninety percent of an average Chinese manufacturer's time spent is on logistics. Therefore, logistics presents the greatest challenge for multinational companies conducting businesses in China. Although more than 18,000 registered logistics companies exist in China, 85 percent of their revenues are generated from basic trucking and storage services. These facts indicate that China will need increasing presence of high-quality foreign 3PL providers, who are able to provide sophisticated IT systems, industry/operational expertise, standardized operating processes, and international networks, compared to their Chinese counterparts. However, they are facing complicated array of laws and regulations as well as difficulty of finding qualified people to fulfill these needs. There are a number of foreign 3PL providers engaged in China's logistics sector to reap a huge opportunity. Nevertheless, many 3PL foreign providers are still cautious about making large investments. Thus they arelooking for alliances that can provide complementarities instead. Another salient feature of strategy is to take over the transportation assets and warehousing of major Chinese manufacturers and distributors.

• International Journal of Railway
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• 제1권4호
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• pp.134-142
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• 2008

Serving as a strategic crossing point for major corridors in Central Europe, Railnet Austria's Infrastructure Network incurs continual increases in international traffic flows and is therefore subject to accumulating traffic congestion with potential restrictions to infrastructure access. This imposes challenges towards preserving open access to Railnet Austria's existing railway network and hinders quality infrastructure service during maintenance, repair, and upgrading. Through Railnet Austria's experiences, the economic viability of a railway network can be sustained through maintaining open access with good quality service of planned trainpaths, thus representing new challenges for future infrastructure maintenance and capacity planning. Railnet Austria's Capacity Management Department has proven that these challenges can be accommodated more effectively through recent technological developments in data warehousing and software development.

• 대한산업공학회지
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• 제14권2호
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• pp.99-114
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• 1988

The objective of this study is mainly related to design aspects of Multi-aisle S/R machine system (MASS) which can substantially reduce high initial investment cost of Automated Storage/Retrieval System. Firstly, the average travel time of the S/R machine is determined under single and dual commands, from which the average performance of S/R machine is evaluated. Secondly, a design model is developed and the system parameters, such as length and height of the system, and the number of S/R machines, traversers and aisles are determined which provide minimum initial investment and operating costs. Also, through experiments, sensitivity analysis is made for the throughput and storage volume.

• Industrial Engineering and Management Systems
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• 제11권4호
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• pp.331-338
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• 2012

This research proposes a Pareto-based multi-objective optimization approach to class-based storage warehouse design, considering a two-block warehouse that operates under the class-based storage policy in a low-level, picker-to-part and narrow aisle warehousing system. A mathematical model is formulated to determine the number of aisles, the length of aisle and the partial length of each pick aisle to allocate to each product class that minimizes the travel distance and maximizes the usable storage space. A solution approach based on multiple objective particle swarm optimization is proposed to find the Pareto front of the problems. Numerical examples are given to show how to apply the proposed algorithm. The results from the examples show that the proposed algorithm can provide design alternatives to conflicting warehouse design decisions.

• Industrial Engineering and Management Systems
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• 제2권1호
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• pp.28-34
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• 2003

The fundamental design issues that arise in the pickup and delivery system planning are optimizing the system with minimum cost and maximum throughput and service level. This study is concerned with the development of pickup and delivery system with customer responsive service level, DCM(Demand Chain Management). The distribution process and service map are consisted of manufacturing, warehousing, and pickup and delivery. First we formulated the vehicle pickup and delivery problem using GIS-VRP method so as to satisfy the customer service requests. Second, we developed a GUI-type computer program using AVL, automated vehicle location system. The computational results show that the proposed method is very effective on a set of test problems.

• 아태비즈니스연구
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• 제9권3호
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• pp.101-115
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• 2018

The purpose of this study is to examine the growth status and future prospects of the shipping industry over the past decade through a review of the statistical database and related literature. We classify the shipping industry and survey a number of companies, number of employees, sales trends and shipping logistics market outlook, port cargo volume, and container throughput trends with regard to the sea cargo shipping business, freezing cold warehousing business, harbor cargo unloading business, and international freight forwarding business. We will also look at the overall trends, scale, cargo volume, and harbor automation status of the global shipping market.

• International Journal of Computer Science & Network Security
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• 제24권6호
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• pp.109-118
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• 2024

The world today is advancing towards a digital solution for every indusial domain varying from advanced engineering and medicine to training and management. The supply cycles can only be boosted via an effective management of the warehouse and a stronger hold over the logistics and inventory insights. RFID technology has been an open source tool for various MNCs and corporal organization who have progressed along a considerable drift on the charts. RFID is a methodology of analysing the warehouse and logistic data and create useful information in line to the past trends and future forecasts. The method has a high tactical accuracy and has been seen providing up to 99.57% accurate insights for the future cycle, based on the organizational capabilities and available resources. This paper discusses the implementation of RFID on field and provides results of datasets retrieved from controlled data of a practical warehouse and logistics system.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2007년도 춘계학술대회
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• pp.234-245
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• 2007

The empirical studies on the implementation of data warehousing systems (DWS) are lacking while there exist a number of studies on the implementation of IS. This study intends to examine the factors affecting the implementation success of DWS. The study adopts the empirical analysis of the sample of 112 responses from DWS practitioners. The study results suggest several implications for researchers and practitioners. First, when the support from top management becomes great, the implementation success of DWS in organizational aspects is more likely. When the support from top management exists, users are more likely to be encouraged to use DWS, and organizational resistance to use DWS is well coped with increasing the possibility of implementation success of DWS. The support of resource increases the implementation success of DWS in project aspects while it is not significantly related to the implementation success of DWS in organizational aspects. The support of funds, human resources, and other efforts enhances the possibility of successful implementation of project; the project does not exceed the time and resource budgets and meet the functional requirements. The effect of resource support, however, is not significantly related to the organizational success. The user involvement in systems implementation affects the implementation success of DWS in organizational and project aspects. The success of DWS implementation is significantly related to the users' commitment to the project and the proactive involvement in the implementation tasks. users' task. The observation of the behaviors of competitors which possibly increases data quality does not affect the implementation success of DWS. This indicates that the quality of data such as data consistency and accuracy is not ensured through the understanding of the behaviors of competitors, and this does not affect the data integration and the successful implementation of DWS projects. The prototyping for the DWS implementation positively affects the implementation success of DWS. This indicates that the extent of understanding requirements and the communication among project members increases the implementation success of DWS. Developing the prototypes for DWS ensures the acquirement of accurate or integrated data, the flexible processing of data, and the adaptation into new organizational conditions. The extent of consulting activities in DWS projects increases the implementation success of DWS in project aspects. The continuous support for consulting activities and technology transfer enhances the adherence to the project schedule preventing the exceeding use of project budget and ensuring the implementation of intended system functions; this ultimately leads to the successful implementation of DWS projects. The research hypothesis that the capability of project teams affects the implementation success of DWS is rejected. The technical ability of team members and human relationship skills themselves do not affect the successful implementation of DWS projects. The quality of the system which provided data to DWS affects the implementation success of DWS in technical aspects. The standardization of data definition and the commitment to the technical standard increase the possibility of overcoming the technical problems of DWS. Further, the development technology of DWS affects the implementation success of DWS. The hardware, software, implementation methodology, and implementation tools contribute to effective integration and classification of data in various forms. In addition, the implementation success of DWS in organizational and project aspects increases the data quality and system quality of DWS while the implementation success of DWS in technical aspects does not affect the data quality and system quality of DWS. The data and systems quality increases the effective processing of individual tasks, and reduces the decision making times and efforts enhancing the perceived benefits of DWS.

• 한국식품위생안전성학회지
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• 제26권4호
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• pp.410-416
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• 2011

선식의 품질향상과 위생적인 선식제조에 기초단계인 곡류원료에 위생 상태를 파악하기 위해 선식업체 19곳을 방문하여 선식용 곡류원료 10종류에 대한 일반생균수는 찹쌀 4.8~7.2, 보리 4.8~8.6, 현미 4.6~7.4, 검정콩 4.3~7.1, 검정쌀 4.1~7.1, 검정깨 4.1~6.1, 찰수수 3.1~5.1, 찰조 4.2~5.1, 들깨 3.1~5.1, 율무 3.6~5.2 log(CFU/g)로 검출되었고, Coliform, E. coli은 찹쌀 4.4~2.1, 2.1~3.4, 보리 2.2~4.4, 2.1~3.1, 현미 3.1~3.2, 1.0~2.8, 검정콩 2.3~3.8, 검정쌀 2.1~3.1, 1.0~2.1, 검정깨 2.3~3.6, 찰수수 2.2~2.4, 찰조 2.3~3.2, 들깨 2.3~3.1, 1.0~2.1, 율무 2.2~3.2, 1.0~2.1 log(CFU/g)검출되었으며, B. cereus은 찹쌀 1.0~2.1, 보리 2.1~3.1, 현미 2.4~2.6, 검정쌀 2.1~3.5, 들깨 1.0~2.1 log(CFU/g)로 검출되었다. Sal. spp은 검정깨에서 검출되었고, mold는 보리에서 검출되었다. 제조공정 중 미생물 오염도에 대해 조사한 결과 일반생균수는 입고단계의 경우 5.1~8.5 log(CFU/g)로 검출되었고, 세척 및 증자 공정은 4.4~7.5, 1.0~2.3 log(CFU/g)로 검출되었으며, 냉각, 건조, 방냉, 마쇄, 포장공정에서는 2.4~4.2, 1.0~4.0, 3.4~4.2, 4.3~5.2, 3.3~5.8로 검출되었다. 대장균군는 입고공정에서 1.0~2.01 (CFU/g)로 검출되었고, mold은 입고단계에서 검출되었다. 선식 가공업체의 환경 중 미생 물 결과 일반생균수는 원료탱크 40.2~7.5(CFU/g), 세척기와 건조기는 0.1~2.0, 0.1~3.2(CFU/g)로 검출되었고, 분쇄기, 포장지, 작업실은 3.2~4.0, 2.5~3.0, 3.8~5.2로 검출되었으며, 대장균군은 원료탱크와 분쇄기에서 각각 2.4~4.0, 0.0~4.1 log(CFU/g) 검출되었으며, 대장균은 검출되지 않았다. Mold은 원료탱크와 분쇄기, 작업실에서 검출되었다.

• 한국공간정보시스템학회 논문지
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• 제8권1호
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• pp.1-16
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• 2006

최근 들어, 사용자가 주변 환경 및 요구 정보의 변화를 의식하지 않고 작업 환경과 수행하는 일에 집중하도록 배려하는 인간 중심 컴퓨팅 환경에 대한 연구 개발이 활발히 진행되고 있다. 그러나 이러한 컴퓨팅 환경에서 미들웨어는 사용자에게 RFID센서로부터 들어오는 대량의 정보에 대한 처리 부하를 줄이기 위하여 분석이 끝난 스트림 데이터를 삭제한다. 따라서 사용자의 데이터 웨어하우징이나 데이터마이닝에 필요한 확률, 통계 정보에 대한 요청, 또는 반복적이면서 동일한 데이터에 대한 요청을 처리할 수 없다는 문제점을 가진다. 본 논문에서는 기존의 미들웨어에서 문제가 되었던 과거 스트림 데이터 재사용 문제를 해결하기 위해, 사용자가 빈번하게 요구하는 데이터들을 스냅샷을 가지는 다중 레벨 공간 DBMS에서 관리하는 센서미들웨어 구조를 설계하였다. 본 시스템은 사용자가 요구하는 데이터 마이닝이나 데이터 웨어하우징과 같은 과거 스트림 정보를 사용한 서비스 요청을 위해, 미들웨어에서 필터링된 과거 스트림 데이터를 디스크 데이터베이스에서 관리한다. 그리고 디스크 데이터베이스에 저장된 스트림 데이터 중에서 사용자에 대한 높은 재사용 빈도를 가지는 데이터들을 스냅샷의 형태로 메모리 데이터베이스에 저장하고 이를 관리한다. 또한, 본 시스템은 메모리 데이터베이스에 저장된 스냅샷 데이터의 높은 데이터 재사용성과 신속한 서비스를 유지하기 위해서 주기적인 메모리 데이터베이스 관리 정책을 수행한다. 본 논문은 기존의 미들웨어에서의 스트림 데이터에 대한 반복적인 요청, 또는 과거 스트림 데이터를 이용한 정책 결정 서비스 요청에 대한 서비스를 제공할 수 없는 문제들을 해결하였다. 그리고 메모리에 저장된 데이터에 대한 높은 데이터 재사용성을 유지함으로서 사용자에게 지속적으로 다양하고 신속한 데이터 서비스를 제공한다.