• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권3호
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• pp.528-550
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• 2024

Warehousing demand prediction is an essential part of the supply chain, providing a fundamental basis for product manufacturing, replenishment, warehouse planning, etc. Existing forecasting methods cannot produce accurate forecasts since warehouse demand is affected by external factors such as holidays and seasons. Some aspects, such as consumer psychology and producer reputation, are challenging to quantify. The data can fluctuate widely or do not show obvious trend cycles. We introduce a new model for warehouse demand prediction called MAGRU, which stands for Multi-layer Attention with GRU. In the model, firstly, we perform the embedding operation on the input sequence to quantify the external influences; after that, we implement an encoder using GRU and the attention mechanism. The hidden state of GRU captures essential time series. In the decoder, we use attention again to select the key hidden states among all-time slices as the data to be fed into the GRU network. Experimental results show that this model has higher accuracy than RNN, LSTM, GRU, Prophet, XGboost, and DARNN. Using mean absolute error (MAE) and symmetric mean absolute percentage error(SMAPE) to evaluate the experimental results, MAGRU's MAE, RMSE, and SMAPE decreased by 7.65%, 10.03%, and 8.87% over GRU-LSTM, the current best model for solving this type of problem.

• Asia pacific journal of information systems
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• 제30권1호
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• pp.214-228
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• 2020

Shared value enhances the competitiveness of a company while simultaneously reducing societal burdens. By allowing companies to share their resources, collaborative logistics systems provide companies with an opportunity to create shared value, namely, not only economic value by enhancing the utilization of resources, but also social value by reducing energy consumptions and greenhouse gas emissions associated with logistics and transportation. Emerging businesses, such as ES3 and Flexe, have recently demonstrated how they created shared value through collaborative logistics services, for example, ES3's collaborative warehousing and direct-to-store (D2S) program, and Flexe's on-demand warehousing platform. However, the development of collaborative logistics systems is currently at a nascent stage. There are quite a few socio-technical barriers to overcome for sharing resources (data as well as infrastructure). Drawing on the socio-technical approach, this research examines how companies create both economic and social value from collaborative logistics systems. We highlight socio-technical barriers, particularly one set of social barriers, that is, competition-oriented conservatism prevalent among companies. Using the case study methodology and interview data, we closely investigate ES3 and Flexe, which provide collaborative logistics services, and demonstrate how technical and social barriers are addressed to create shared value from collaborative logistics systems.

• Asia pacific journal of information systems
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• 제13권4호
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• pp.191-206
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• 2003

More views in data warehouse, can respond to the users more rapidly because the user's requests might be processed by accessing only the materialized views with higher probabilities rather than accessing base relations. But, the update duration for maintaining materialized views limits the number of materialized views in data warehouse. In this paper, we propose the algorithm for reducing update duration of materialized views, of which aggregation functions are maintained by self-maintenance. We also implement the proposed algorithm and evaluate the performance of the algorithm.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.159-162
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• 2004

Logistics industry confronting very complex situation because of small quantity, frequent orders, multinational enterprises, lack of human power etc. leads to diversity, flexibility and agility. In this paper, integrated approach is introduced for projecting national technologies in logistics systems related to IT and automated control industry. Three areas of automation, IT basis, and operation techniques are included along with business factors of transportation, warehousing, stevedoring, pecking, and information systems. As a result, the epitome concludes the technology of in-house development and joint collaboration with others.

• 한국경영과학회지
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• 제14권1호
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• pp.119-130
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• 1989

This paper presents average travel time models automated warehousing system where the stacker crane transports only one pallet at a time with the tchebychev travel, I/O point is located at the cornor of the rack, and items are stored by the class-based storage assignment rule. In this study, the racks are treated as the continuous rectangle in time and a statistical approach was used to develop the models. In order to test the proposed models, average travel times determined by the models are compared with the true values for various rack shapes.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2007년도 춘계학술대회
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• pp.72-79
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• 2007

OMG's Common Warehouse Metamodel is now a single data warehouse metadata standard. Interchange of metadata between data warehousing tools and metadata repositories made easy and convenient by using CWM. In this paper, we present the origin, importance and architecture of CWM, and offer an application case.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2001년도 추계학술대회
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• pp.9-14
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• 2001

This paper considers automated storage and retrieval systems with double shuttle. We develop the travel time model based on the first come first service rule. We evaluate the performance of the double shuttle system working on the four command cycle.

• 정보보호학회지
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• 제7권3호
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• pp.123-130
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• 1997

데이터 웨어하우스 이면의 있는 아이디어는 다양한 이질형 데이터베이스에 있는 데이터를 접근하는 것이 거추장 스럽다는 것이다. 이질적인 환경에서 질의를 처리하기 위해 몇 몇 처리 모듈들이 서로 협력할 필요가 있다. 그러므로 다양한 데이터 원천(source)들에서 본질적인 데이터를 함께 가져다 놓는 곳이 데이터 웨어하우스이다. 이런 방법에서 사용자들은 웨어하우스만을 질의한다. 데이터 웨어하우스 개발에서는 부가적인 보안 사항을 초래한다. 예를 들면, 다양한 데이터 탐사도구를 이용함으로써 정보를 연역할 수 있는가\ulcorner 데이터 웨어하우스를 위한 적당한 감사 프로시듀어는 무엇인가\ulcorner 본 연구에서는 데이터 웨어하우스에서의 보안 문제들을 알아본다.

• 디지털융복합연구
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• 제16권5호
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• pp.55-63
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• 2018

중국 물류 산업에 큰 변화가 있었음에도 중국 물류의 연구 동향에 대한 연구는 거의 이루어지지 않았다. 기존 연구는 운송 효율성, 창고 위치 및 항만 효율 등과 같은 세분화된 주제로 연구가 진행되었다. 본 연구에서는 2000년부터 2017년까지 중국 물류의 연구 동향을 SNA방법을 이용하여 분석하였다. 자료는 해외저널에서 수집되었으며, 총 82 개 관련 학술지가 분석대상으로 사용되었다. 2000년에서 2017년까지 기간을 나누어 분석을 진행하였고, 첫 번째 기간 (2000-2008)은 "Globalization", "Hong Kong", "FDI" 및 "outsousing"과 같은 키워드가 상위 키워드로 도출되었다. 두 번째 기간(2009-2013)의 결과는 "internation trade", 및 "reverse logistics"와 같은 키워드들이 도출되었고, 세 번째 기간(2013-2017)에는 "3PL", "warehousing", "railways", "supply chain", "economic", "port" 및 "Belt and Road"등의 키워드가 상위로 나타났다. SNA 방법을 사용한 중국물류 연구 트렌드 분석 결과, 세계화 상황에서 중국이 급속히 변화함에 따라 중국 물류의 연구동향이 진화하고 있음을 보여주고 있다.

• 간호행정학회지
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• 제11권4호
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• pp.401-414
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• 2005

Purpose: This study was to evaluate the utilization of health care service and to provide supportive data for health care policy making in one urban area in Korea. Method: This study tested the significance of public health service using the database of an university hospital and public health center from Feb. 2000 to Dec. 2004. Data were analyzed by multidimensional analysis and data mining technique and produced the information on the classification of utilization characteristics by main disease and the total cost of use and disease association with the users of the public health center. Results: The Results were as follows: 1) Top 10 diseases in the area accounted for 22.4% of total frequency for the most recent 5 years in university hospital, while 59.0% in public health center. 2) There were significant correlations between university hospital and public health center user's insurance type and place of residence: It showed higher use of public health center for free service beneficiaries residing in Seoul than residents in nearby or local area. The medical insurance types for hospital users were more various than those for public health center users. 3) The use of hospital for patients of hypertension, diabetes mellitus and hyperlipidemia was tended to concentrate in mostly autumn and winter since August 2000, while the cost of using public health center for those patients has been steadily reduced since July 2000. 4) As a result of cluster analysis, there were classified into three homogeneous groups according to the total cost of using public health service, age, and the frequency of use. 5) The association analysis on patients with chronic disease in public health center produced a detailed information on accompanying diseases related to the incidence rate of disease of high frequency due to aging, information on drug abuse and immune disease. Conclusion: The health care policy for local community should be evaluated continuously. And the policy to build an integrated data warehousing by public health indicator system and to enhance the faithfulness of data is required.