• 대한지리학회지
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• 제48권5호
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• pp.667-685
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• 2013

본 연구는 부산시 물류창고업을 대상으로 구매자-공급자간 관계에서 신뢰의 결정요인이 기업의 성과에 미치는 영향을 밝히는데 목적이 있다. 이를 위해 설문자료를 이용하여 선형 회귀의 제한 점을 처리하는 AVAS 변환 분석을 하였으며 그 결과는 다음과 같다. 첫째, 기업의 성과는 "장기적 반복적 상호작용", "지리적 근접성", "기업의 문화 및 규범과 공식적 제도" 등의 요인과 대체적으로 정(+)의 비례관계를 형성한다. 둘째, 기업의 성과는 "정보공유와 호혜성"과 체증적 정(+)의 관계를 보인다. 마지막으로, 기업의 성과는 "상호의존과 자산전용성" 및 "불확실성 제거"와는 체감적 정(+)의 관계를 형성한다. 이러한 결과는 신뢰와 기업의 성과 간 관계는 구매자-공급자 관계에서 신뢰의 중요한 요인인 신뢰 결정요인에 의해 결정되며, 기업의 성과에 대한 신뢰 결정요인의 영향은 신뢰 결정요인의 수준에 따라 다르게 나타남을 보여준다.

• 한국항만경제학회지
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• 제34권2호
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• pp.51-68
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• 2018

본 연구는 물류시장의 업종 간의 경영성과 차이를 비교하는 동시에 물류기업의 사업특성 차이를 분석하였다. 나아가 업종과 사업특성의 차이가 경영성과에 미치는 영향을 검정하였다. 분석 방법으로는 분산분석, 군집분석을 이용하였고, 연구의 시사점은 다음과 같다. 첫째. 일본의 물류시장은 업종 간 경영성과 차이가 나타났고, 창고서비스업이 타 업종에 비해 수익성과 안정성이 높았다. 둘째, 업종별 사업행동의 차이가 나타났고, 타 업종에 비해 해상화물운송업은 자본집약도가 높았고, 창고서비스업은 사업선도력과 신용거래도가 높았다. 마지막으로 업종과 사업특성 군집의 두 요인은 경영성과에 미치는 상호작용이 유의미하게 검정되었는데, 수익성에 있어 화물운송업과 창고서비스업의 사업특성의 작용이 달랐다. 반면, 안정성에 있어 전 업종은 공통적으로 자본집약도를 낮추고 사업선도력을 재고하는 사업특성이 유효하게 작용하였다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1993년도 춘계공동학술대회 발표논문 및 초록집; 계명대학교, 대구; 30 Apr.-1 May 1993
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• pp.28-28
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• 1993

• 산업공학
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• 제16권2호
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• pp.229-239
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• 2003

The On-Line Analytical Processing (OLAP) tools access data from the data warehouse for complex data analysis, such as multidimensional data analysis, and decision support activities. Current research has lead to new developments in all aspects of data warehousing, however, there are still a number of problems that need to be solved for making data warehousing effective. View maintenance, one of them, is to maintain view in response to updates in source data. Keeping the view consistent with updates to the base relations, however, can be expensive, since it may involve querying external sources where the base relations reside. In order to reduce maintenance costs, it is possible to maintain the views using information that is strictly local to the data warehouse. This process is usually referred to as "self-maintenance of views". A number of algorithm have been proposed for self maintenance of views where they keep some additional information in data warehouse in the form of auxiliary views. But those algorithms did not consider a consistency of materialized views using view self-maintenance. The purpose of this paper is to research consistency problem when self-maintenance of views is implemented. The proposed "conveyor algorithm" will resolved a complete consistency of materialized view using self-maintenance with considering network delay. The rationale for conveyor algorithm and performance characteristics are described in detail.

• ETRI Journal
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• 제22권3호
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• pp.41-51
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• 2000

An important use of data warehousing is to provide temporal views over the history of source data. It is significant that nearly all data warehouses are dependent on relational database technology, yet relational databases provide little or no real support for temporal data. Therefore, in is difficult to obtain accurate information for time-varying data. In this paper, we are going to design a temporal data warehouse to support time-varying data efficiently. For this purpose, we present a method to support temporal query by combining a temporal query process layer with the relational database which is used as a source database in an existing data warehouse. We introduce the Temporal Aggregate Tree Strategy (TATS), and suggest its algorithm for the way to aggregate the time-varying data that is changed by the time when the temporal view is created. In addition, The TATS and the materialized view creation method of the existing data warehouse have been evaluated. As a result, the TATS reduces the size of the fact table and it shows a good performance for the comparison factor in case of processing the query for time-varying data.

• Journal of Computing Science and Engineering
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• 제7권1호
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• pp.1-20
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• 2013

Over the past generation, data warehousing and online analytical processing (OLAP) applications have become the cornerstone of contemporary decision support environments. Typically, OLAP servers are implemented on top of either proprietary array-based storage engines (MOLAP) or as extensions to conventional relational DBMSs (ROLAP). While MOLAP systems do indeed provide impressive performance on common analytics queries, they tend to have limited scalability. Conversely, ROLAP's table oriented model scales quite nicely, but offers mediocre performance at best relative to the MOLAP systems. In this paper, we describe a storage and indexing framework that aims to provide both MOLAP like performance and ROLAP like scalability by essentially combining some of the best features from both. Based upon a combination of R-trees and bitmap indexes, the storage engine has been integrated with a robust OLAP query engine prototype that is able to fully exploit the efficiency of the proposed storage model. Specifically, it utilizes an OLAP algebra coupled with a domain specific query optimizer, to map user queries directly to the storage and indexing framework. Experimental results demonstrate that not only does the design improve upon more naive approaches, but that it does indeed offer the potential to optimize both query performance and scalability.

• 수산해양교육연구
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• 제28권6호
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• pp.1772-1780
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• 2016

NCS development for the treatment of waste oils from ship was carried out through steps such as analysis on characteristics, development of competency standard, utilizing package, and validation of industry sites. The results were as follows. Firstly, duty competency was classified as levels from 2 to 6. Educational training institutions were followed by 75 graduate schools, 73 universities, 54 colleges, and 37 high schools. Secondly, developed standards were consisted of duty and competency unit. The name of duty was the treatment of waste oils from ship and competency units were consisted of 8 items as classification of waste oils from ship, pickup and transport of waste oils from ship, warehousing of waste oils from ship to marine disposal company, transport of waste oils from ship to land, warehousing of waste oils from to disposal company, determination of disposal method and plant recycling treatment, and incineration treatment. 28 competency unit elements below 8 competency units were developed. Thirdly, utilizing package was developed into 3 areas of life-long career path, training criteria, and guidelines for exam according to national competency standards in order to develop development of labor's career and perform personal management such as hiring and promotion in industry sites.

• Journal of Computing Science and Engineering
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• 제1권2호
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• pp.125-160
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• 2007

Data Warehousing and OLAP (On-Line Analytical Processing) have turned into the key technology for comprehensive data analysis. Originally developed for the needs of decision support in business, data warehouses have proven to be an adequate solution for a variety of non-business applications and domains, such as government, research, and medicine. Analytical power of the OLAP technology comes from its underlying multidimensional data model, which allows users to see data from different perspectives. However, this model displays a number of deficiencies when applied to non-conventional scenarios and analysis tasks. This paper presents an attempt to systematically summarize various extensions of the original multidimensional data model that have been proposed by researchers and practitioners in the recent years. Presented concepts are arranged into a formal classification consisting of fact types, factual and fact-dimensional relationships, and dimension types, supplied with explanatory examples from real-world usage scenarios. Both the static elements of the model, such as types of fact and dimension hierarchy schemes, and dynamic features, such as support for advanced operators and derived elements. We also propose a semantically rich graphical notation called X-DFM that extends the popular Dimensional Fact Model by refining and modifying the set of constructs as to make it coherent with the formal model. An evaluation of our framework against a set of common modeling requirements summarizes the contribution.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.532-534
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• 2022

5G 시대가 상용화를 넘어 고도화되는 시점에서 기존 단순 물류 창고 업무를 처리하던 곳들이 IT 융합기술과 플랫폼을 접목하면서 스마트 물류 창고로 탈바꿈하고 있다. 스마트 물류 창고는 5G 기반으로 AI, 딥 러닝, 로봇 기술로 제품의 정확한 수요 및 재고 예측이 가능하고, 입출고 상태에 대한 정보를 실시간으로 제공한다. 이커머스 시장이 커짐에 따라 스마트 물류 분야도 급격한 성장을 이루고 있다. 본 논문에서는 스마트 물류 창고 시스템을 구현하며, 5G 기반 물류 자동화 로봇 활용으로 신속하고 정확한 물류 시스템 구축하는 방법을 연구하여 제안한다.

• 무역학회지
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• 제46권4호
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• pp.149-166
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• 2021

This paper aims to reduce the frequency of dangerous goods storage accidents in China. Advocating the managers of warehousing and logistics enterprises to pay attention to the operation process of dangerous goods warehousing business. Improving the safe storage and management capabilities of dangerous goods warehouses. This article first collects official data on dangerous goods storage accidents in China and conducts a general statistical analysis of the accidents. Based on the results of accident statistics and related literature research on dangerous goods storage management, establish a dangerous goods storage safety management factor system, use the analytic hierarchy process, establish a factor importance questionnaire and implement data collection. Through statistics, this paper finds that the storage accidents of dangerous goods in China in the past ten years mainly occurred in the inbound phase of dangerous goods and the storage phase of dangerous goods warehouses. Through the results of the analytic hierarchy process, it is found that the professionalism of the dangerous goods storage practitioners, the compliance of the practitioners with safety regulations, and the awareness of operational safety are the most important.