Recently, domestic datawarehouse marketplaces take up the most important part of information technology investments with ERP(Enterprise Resource Planning), EC(Electronic Commerce) construction projects in spite of a business slowdown for IMF environment. Therefore, in industrial fields as finances, communications, manufactures, distributions, and so on, datawarehouse was constructed or is under construction, and datawarehouse success stories was showed around some enterprises that has constructed previously datawarehouse. This study is intended to be henceforth an index and direction for an actual proof study by discussing a study of methodology for datawarehouse construction in order to compare and analyze Top-down & Bottom-up approach for datawarehouse that has constructed in actual enterprises.

ISP(Information Strategy Planning) is the methodology to light the objective and the business system architecture, and to recognize the strategic situation for the establishment of effective information system in an organization. Customer Needs Research is one of the Research Methodology that analyze the customer needs effectively and use to establish the policy and the direction of corporation. Both have the important role to establish the strategy for the corporation. The former can propose the corporate information strategy in MIS, the latter can be used to research the customer needs about a corporation, to establish the business management strategy and to decide the way corporate must head. But each has studied independently and there is no integrated methodology of ISP and Customer Needs Research. Actually, a lot of corporations still establish ISP to increase the business efficiency rather than to satisfy the customer needs. Customer satisfaction is the final objective of all business so that corporations have to find the customer needs through Customer Needs Research and make ISP oriented to customer satisfaction through the result of Customer Needs Research.

최근 정보시스템에 대한 품질평가가 사용자만족이라는 개념을 중심으로 이루어져 왔다. 그러나 그것은 단기적인 관점에서의 평가모델로서 장기적인 관점에서의 종합적인 품질평가가 필요하다. 기술적 측면과 인간적 측면의 성공요인을 모두 포함하여 평가차원을 분류하고, 사용자만족에서 희생을 함께 고려하는 사용자가치가지 확장하는 종합적 품질평가모형을 제시하고 국내기업을 대상으로 실증분석해 보고자 한다.

This paper describes the differences of the information system's success factors to improve the end-user's performance according to the job characteristics. A modified model of DeLone and McLean's IS success model is proposed with the two added variables of the top management concern and the IS department support. The model is validated using data collected from a field study of 3872 users on 3 Korean companies. ANOVA, correlation analysis, and stepwise regression are used to test research hypotheses. The results of the study indicate the following implications. First the top management concern and the IS department support have the significant relation with the system usage and the user satisfaction. Second, the system quality has an influence on the user satisfaction more than on the system usage. And the information quality has an influence on the system usage more than on the user satisfaction. Third, the system usage has more relations to the user's performance in the logistics function and R&D function. The user satisfaction has more relations to the user's performance in the sales and the A/S function. Therefore information system strategy to increase the user's performance must be differentiated according to job characteristics.

Technology Acceptance Model (TAM) has been widely used for predicting behavioral processes in which information technologies were accepted, but several previous studies point out that TAM may not explain the adoption process of complex information technologies effectively. This study empirically tests the limitation of TAM, and suggests a proposed research model by incorporating the concept of the perceived behavioral control into TAM. Study findings indicate the proposed model can predict the adoption process better than TAM does.

It is very difficult for the large-scale retailers, who deal with tens of thousands of items, to price all the items dynamically reflecting all the constraints and policies. In spite of its importance, the prices are determined by human experts because the process of setting the prices of all the items is not established yet. To solve this problem, we adopt a mixed model that combines three typical pricing models: cost-plus model, competition-oriented model, and demand-oriented model. Since each model an be converted to a set of constraints in point and interval forms, solving the pricing problem with the three groups of models requires an algorithm which can solve the problem with weighted constraints of intervals and points. So we have devised an algorithm named “Point Determination Algorithm”. From the rules that represents tile models, the constraints are extracted to be solvable by tile Point Determination Algorithm. A prototype KAPA (Knowledge Assisted pricing Advisor) is developed with this idea using the expert system environment UNIK - a tool developed by KAIST. According to the experiment with 76 items in comparison with 53 human pricing experts we confirmed that the KAPA can perform highly consistent with human experts. This implies KAPA system is applicable to pricing millions of items dynamically.

Internet is now changing the paradigms of traditional commercial activities. As more and more companies are actively involved in electronic commerce using Internet, it is becoming more imperative to understand the customers' perception of electronic commerce to foster healthy growth of Internet electronic commerce. However, research on customer satisfaction in electronic commerce has been scarce. This research investigates the factors affecting customer perception of electronic commerce and suggests the models and the results of the empirical study.

In this study, I investigated a domestic situation of Internet Shopping Mall, its elements and steps for construction. A domestic Internet Shopping Mall have some faults that a consumer cannot look at or touch directly a goods and have some bottlenecks such as a decisive way of a large amount of money, and so forth. On the other hand, it is consisted of 7 elements and its construction is consisted of 5 steps. Accordingly, I investigated the above statements.

New electronic commercial paradign is now diffusing based on the rapid growth of computer network infrastructure and, therefore, online shopping malls are aggressively expanding all over the world. In this paper, we identify facilitating factors that affect active utilization of online shopping mall considering customers' needs and convenience such as service availability, information relevance to customers' needs. and system convinience. Empirical data analysis was performed for nine Korean online shopping malls. Results suggest that current shopping malls should concentrate on delivering relevant information to the customers needs and developing convenient shopping mall systems.

The rapid diffusion of the Internet and the World Wide Web is facilitating greater interaction - and potential opportunities for customization - between vendors and customers. For instance, virtual reality and multimedia technologies allow consumers to envision their designed products. The increasing pace of the business environment highlights the need to deploy intelligent systems in all stages of product design and production planning. This paper deals with a system to generate an appropriate product design by adapting customer preferences and constraints using the case based reasoning methodology. Moreover, intelligent agents are integrated with virtual reality technology to provide a friendly user interface.

In the implementation of the simplex method program, the representation and the maintenance of basis matrix is very important, In the experimental study, we investigates Suhl's idea in the LU factorization and LU update of basis matrix. First, the triangularization of basis matrix is implemented and its efficiency is shown. Second, various technique in the dynamic Markowitz's ordering and threshold pivoting are presented. Third, modified Forrest-Tomlin LU update method exploiting sparsity is presented. Fourth, as a storage scheme of LU factors, Gustavson data structure is explained. Fifth, efficient timing of reinversion is developed. Finally, we show that modified Forrest-Tomlin method with Gustavson data structure is superior more than 30% to the Reid method with linked list data structure.

The computational speed of interior point method of linear programming depends on the speed of Cholesky factorization to solve AΘA$^{T}$ $\Delta$y=b. If the coefficient matrix A has dense columns then the matrix AΘA$^{T}$ becomes a dense matrix. This causes Cholesky factorization to be slow. The Schur complement method is applied to treat dense columns in many implementations but suffers from its numerical unstability. We study efficient implementation of Schur complement method. We achieve improvements in computational speed and numerical stability.rical stability.

본 연구는 최소비용문제에 적용할 수 있는 사전처리 기법의 이론과 그 구현에 대해서 다룬다. 일반적으로 해법을 적용하여 문제를 풀기 이전에 최적해에서 유통량을 알 수 있는 호나 중복적인 호와 점을 제거하여 문제 크기를 줄이는 과정을 사전처리(preprocessing)라 한다. 또한 문제의 비가능성이나 입력된 문제의 정확성 등을 검사하는 과정도 사전처리에 포함하기도 한다 따라서 사전처리는 문제 축소와 입력된 문제의 정확성 검사 등을 통해 해법의 수행도와 안정성을 높이는 효과를 가져다준다. 본 연구에서는 최소비용문제의 사전처리로 비가능성 판정, 중개지에 대한 사전처리, 병렬호에 대한 사전처리, 호의 유통상한과 유통하한을 이용한 유통량고정에 대한 사전처리, 우회경로에 대한 사전처리 등을 연구하였다. 본 연구에서는 네트워크 단체법 프로그램에 최소비용문제에서의 사전처리기법을 각각 구현하여 이러한 사전처리를 하지 않았을 때와 비교하여 문제의 크기를 줄일 수 있었고 수행시간을 16%정도 줄일 수 있다는 것을 실험적으로 보였다.

The selection criteria of the Authorized Stockage List(ASL) in the Army is based on Army Regulation(AR)409, the selection method of ASL is not considered in cost, weight and volume of repair parts. This paper is focused on developing for a new selection model taking account of cost, weight and volume of repair parts. This model is applied to data of a division. The ASL selected in the model is more reduced in cost, weight and volume than that of the previous method.

In many industries, competitive advantage is rapidly shifting to the management of suppliers. Especially, in the automotive industry, suppliers' manufacturing performance influences the quality of automobiles which are assembled by motor companies. This study seeks to identify dominant types of buyer-supplier relationships and to examine suppliers' performance difference according to types of buyer-supplier relationships. The findings indicate that the supplier's production performance in the cooperative relationship is higher than that of the suppliers in the other relationships. And then this study examines the relationships between interfirm asset specificity and suppliers' performance. The findings indicate that the greater the interfirm human asset cospecialization and physical asset specialization, the higher the supplier's market and production performance.

Recently, many organizations have attempted to construct hypermedia systems to expand their working areas to Internet-based virtual work places. For the effective management of the hypermedia application, it is important to develop a technique for managing hypermedia documents, hyperdocuments. This paper employs metadata as it has been conceived as a key approach in document management. Hence, this paper proposes a meta-information system based on metadata, HyDoMIS, for the purpose of hyperdocument manage-ment. This system contains a repository for hyper-documents, which is based on metadata schema and classification. HyDoMIS performs functions such as metadata management, searching and reporting.

옵션의 가격을 계산하기 위한 수치해법은 크게 격자모형, 유한차분법, 그리고 몬테카를로 시뮬레이션의 세 가지로 분류된다. 유한차분법은 옵션가격함수가 만족하는 편미분 방정식의 모든 편도함수를 유한 차분식으로 근사하여 옵션을 평가하는 방법이다. 본 연구에서는 유한차분법을 이용하여 옵션을 평가 할 때 발생하는 가격계산 오차의 가장 큰 원인이 옵션 만기 손익구조(payoff)의 비선형성에 있음을 보인다. 특히, 옵션 시장에서 가장 거래가 많이 이루어지는 손익분기옵션(at the money option) 그리고 손익분기점에 가까운 옵션(around the money option)에서 가장 큰 오차가 발생함을 보인다. 또한 본 연구에서는 이러한 오차를 효율적으로 줄이기 위하여 행사가격 근처의 일부 구간에서만 구간점 사이의 간격을 변화시키는 수정된 유한차분법을 제시하고 오차의 크기와 계산의 효율성 측면에서 기존의 유한차분법과 비교·분석한다.

본 연구는 연구·개발 프로젝트의 평가를 위하여 연구·개발 프로젝트의 다-속성(Multi-attributes)을 고려하한 평가 모델의 연구이다. 이를 위하여 우선 평가구조를 구축하고 각 속성별 평가를 종합하기 위한 종합성과도(Total Preference Index)로 단일 측정치로 평가 할 수 있도록 종합하기 위한 적절한 효용함수를 도입하여 사용하였다. 이러한 평가 과정을 다-속성 의사결정 모델(Multi-attribute Utility Model)로 통합하였으며 연구·개발프로젝트의 특성을 고려하여 각 연구실의 책임자(Laboratory Directors)의 평가체계를 개발하여 본 평가모델에 포함하였다. 본 평가모델의 시험 적용을 위하여 특정 연구소에 시험적용하고 그 결과를 보였으며, 부분적으로 보완 연구될 경우 일반적인 프로젝트의 평가모델로 활용될 수 있으리라 생각된다.

This paper investigates the productivity growth of four manufacturing industries employing TFP and Malmquist productivity indexes on data for 13 OECD countries covering 1977-1990, and estimates the effects of R&D investment on productivity growth. The results show that there is a large difference between these indexes, and that R&D effects on productivity using TFP and Malmquist productivity indexes are different in value and significance.

In this paper, we deal with the model to reward researchers' performance. The rewards which disregarded the preference of researchers don't satisfy researchers, but cause, only conflicts. In order to increase the researchitivity by resolving these researchers' conflicts, we design a new model on the performance rewarding system. For this purpose, we investigate preference structure on the reward of researchers by the$\ulcorner$conjoint analysis$\lrcorner$. And we propose some reasonable and practical programs to reward performance on the basis of the investigation..

Failure to link business or operations strategy with the activities of operations is a critical problem in strategy implementation process. This problem comes from malfunction of a coordination and control mechanism to support the strategic direction by effective communication throughout the firm. A performance measurement and evaluation system (PMES) is thought as a core mechanism to monitor, direct. and induce desirable activities. We have developed a new strategic PMES (SPMES) that can effectively support the manufacturing strategy by utilizing customized performance measures. They are selected from a pool of four distinct but closely related sets of performance measures; financial, market, internal competency, and performance driver. In this paper, we briefly review the structure of the SPMES and explain the change process of PMES into SPMES in manufacturing business units. First we analyze the business environment and manufacturing strategy to identify short- and long-term issues facing the management. Next step is scrutinizing the objectives and activities of every function and process in the business unit. Using the information obtained, we can diagnose the gaps between currently effective PMES and desirable SPMES supporting the strategies. Once the problems in existing system are identified, we reconfigure the existing and new measures to establish a SPMES through a series of analyses, discussions and workshops. In organizing the selected measures in the new system, we use AHP method to reflect the relative importance of the measures in a specific business. Finally, modification or development of information system to support the SPMES wraps up the development process, and implementation begins. We explain the entire process using two cases to clarify the real meanings and the difficulties of PMES change process.

We present an early result of a research for formalization of the characteristics and effectiveness of manufacturing performance measurement systems (PMS). Recently manufacturing PMS has been a focus of broad research efforts due to its practical role playing in managers' decision making process. There have been so many suggestive researches that explain the troubles with old cost accounting-based PMS and describe the desirable properties of PMS in strategic management of manufacturing operations. The lack of empirical investigation in this area, however, has left us unsure about what are the real characteristics that distinguish one PMS from another. In this paper, we propose a conceptual framework that can be used to describe the environment, in which a specific PMS works, the characteristic and the utilization variables of a PMS. Then we report the result of a field survey, where we found three distinctive characteristics of a PMS, contents, vertical integration, and horizontal integration. Further, we discuss the relationships of the variables with the utilization of PMS, manufacturing strategy, manufacturing improvement programs, and business performance.

In this article, a reduction method for nominal variables is presented and its use illustrated. Factor analysis model (FAM) generally enables us to reduce variables having interval or ratio scale based on their correlation coefficients. We developed an extensive method that makes FAM applicative to the case of nominal variables which does not give correlation coefficients, but only the degree of association. Cramer's V coefficient is a well-established measure that provides the strength of association for nominal variables with a range of [0,1]. When Cramer's V coefficient can logically substitute for correlation coefficient, FAM would be extensively used for reduction of nominal variables.

그 동안 기업의 데이터는 관계형 데이터베이스에 의해 관리되어져 왔다. 그러나 전산전문가 아닌 최종사용자가 관리하는데는 어려움이 있었으며 이러한 문제를 해결하기 위한 많은 노력이 계속되어 왔다. 결국 최종사용자가 데이터에 직접 접근하여 분석이 가능한 OLAP 시스템의 도입이 필요하게 되었으며, OLAP시스템은 EUC 환경을 구현할 수 있는 시스템이라고 힐 수 있다. 따라서 본 논문은 효율적인 의사결정을 위해 기존의 관계형 데이터 베이스가 아닌 다차원 데이터 베이스에 의한 Prototype을 구축하였다.

Supporting decision-makers involves not only functions of conventional DSS such as problem identification, alternative generation and selection but also education and business processing. The purpose of this paper is to propose Decision-Maker Support System (DMSS) that comprehensively supports decision-makers who should enhance their decision quality. The DMSS consists of three core subsystem: distance learning system, conventional DSS and ERP system.

In this study, we have developed algorithms to find more effective solutions for compensatory decision-making problems in the case of the decision maker with fuzziness which can occur in a real world fuzzy environment. We have applied the algorithm to the problems related to the structural reform of the capital and the number of workers in the local industry. We have selected Taegu city for this study. In this study, we have determined the capital and the number of workers, satisfying maximum productivity and minimum air and water pollution under the constraints such as capital-labor ratio, the demand for land and water and the fluctuation of the capital and the number of workers. The determined capital and the number of workers could improve the competitive advantage of Taegu city and could be utilized as criteria for the compilation of the budget, determination of policy for supporting plan of companies, the forecast of number of workers and the training plan of workers.

This paper complements the work of Courtney et al. in viewing learning organizations as inquiring systems. Hegelian inquiring systems are based on the dialectic. Dialectic can not exist without dialogue. The guarantor of this system is conflict. Hegelian inquiring systems would facilitate multiple and contradictory interpretations of reality. Hegelian synthesis of two opposing models-thesis and antithesis-is the epitome of open systems and double-loop learning. Knowledge gained from the Hegelian inquiring systems may result in an entirely new strategic direction to organizations. This paper reviews some guidelines and principles of Hegelian learning organizations and IT support of it. Also it proposes the immediate deployment of Hegelian learning organizations in the wicked business environments and finally suggests the development of new, flexible information technologies and systems for Hegelian organizations.

통합생산시스템의 최적설계를 위하여 이의 생산공정(Manufacturing Process)과 물류시스템 (Material Handling System)은 두 가지 중요한 요소이다. 본 연구에서는 물류시스템의 성능 및 비용을 분석을 위하여 제품의 생산계획(Production Control & Scheduling), 설비배치(Layout) 및 물류시스템 (Material Handling System) 등을 고려하였다. 본 연구의 주요 목적을 통합생산시스템을 위하여 물류시스템 성능의 최적화와 경제적인 분석을 통하여 최적 물류시스템의 선택에 두고 다음 주요 내용들을 포함하였다; 1) 주요 입력 자료로서 통합생산 장비의 배치(Layout), 공정, 생산제품의 예측, 물류시스템 대안 등이 주어지고, 2) 이를 이용하여 각 물류시스템의 대안별 성능 및 비용 등을 비교 분석하고 최적 물류시스템을 선정한다. 본 연구를 위한 성능 및 비용분석을 위한 전산프로그램을 개발하고 이를 활용한 사례를 들어 보였다.

We consider a facility layout problem for optimized material flow system design in the automated production system design. Existing facility layout algorithm have a weak point that arranged facilities have irregular shape or don't preserve their own shape and size. The proposed algorithm give a layout which is minimize total material handling cost and maximize space utility under preserving each facilities' own shape and size.

Classification and Coding(C&C) systems as a core of design information management have been accomplished by many studies in terms of design and manufacturing attribute based on Group Technology. Those are very difficult to apply in make-to-order(MTO) manufacturing because the environment of MTO has various characteristics of product, many licensors, engineering change, insufficiency of integrated management system for codes and so on. This paper presents a suitable C&C system to MTO manufacturing which consider management level and drawing.

Currently, many companies are trying to be more competitive by implementing the most appropriate software package, called ERP (Enterprise Resource Planning). ERP can support the company's business process. A repository, which can story and retrieve enterprise-wide information, is a key component of such software package. This paper implements an enterprise repository for the ERP. A wellknown repository standard, IRDS (Information Resource Dictionary System), is employed for the repository architecture. A meta schema that can help develop database, business applications, models, and workflow is proposed. To illustrate the practical usefulness, a real-life ERP prototype is built within the framework of the proposed repository.

In the two-tier CDMA cellular system with microcells and overlaying macrocells, slow-moving mobile user are assigned to microcells and those who move fast are assigned to overlaying macrocells in order to minimize the total number of handoffs. With this consideration the problem is how to find the thresholds by which the system distinguishes fast-moving user from those who move slowly based on the estimated speed of users. In this paper, two methods for the mobile speed estimation are proposed and two operations schemes for micro-macro cellular CDMA system are suggested. Based on these, Optimization models to find the optimal thresholds for micro-macrocell selection, which are subject to the constrains of QoS, are developed in view of minimizing the weighted total number of handoffs. And then algorithms to find optimal solutions of the models are devised.

In this paper, we provide a mathematical formulation to describe the random mobility of users in cellular radio systems. With this, we can also study tile cell sojourn time (CST) distribution as well as the channel holding time (CHT) distribution. The study on user mobility enables to improve the resource management in cellular radio systems. We provide a versatile analysis tool that improves the limit of simplified analyses.

효율적인 글로벌 생산경영은 각국에 위치한 생산시설을 통제·운영(control)해야 하는 글로벌 기업(다국적기업)에게 중요한 문제가 되고 있다. 각 나라에 위치한 생산시설은 글로벌기업의 생산네트워크를 구성하는데, 효율적인 글로벌 생산경영을 위해서는 이러한 글로벌 생산네트워크가 최적으로 운영되어야 한다. 글로벌기업은 협력·조정 메커니즘(coordination mechanism)을 통하여 이를 달성할 수 있다. 글로벌 협력·조정 메커니즘(global coordination mechanism)이란 글로벌 기업의 본사와 해외자회사 모두의 생산활동에 상호 영향을 미치는 의사결정을 하는데 있어서 서로 협력하고 조정할 수 있도록 해주는 조직적 의사결정지원 시스템의 하나이다. 이는 협력·조정의 영역, 방법, 구조 등 세가지 기본 틀을 살펴봄으로써 이해될 수 있다는 것이 본 논문의 기본 전제이다. 이 논문에서는 한국 글로벌기업의 본사와 해외 자회사간 협력·조정 활동을 분석하여, 해외 자회사의 생산성과를 높이기 위한 효과적인 협력·조정 메커니즘의 결정요소를 파악하고자 한다. 실증분석을 통하여 다음과 같은 가설을 검증한다. (1) 산업의 특성은 협력·조정 메커니즘과 글로벌 생산성과 간의 상호관계에 영향을 미친다. (2) 글로벌기업의 특성(예를 들어, 기업의 글로벌화 정도, 규모)은 협력·조정 메커니즘과 글로벌 생산성과 간의 상호관계에 영향을 미친다. (3) 산업과 기업의 특성을 반영하여 협력·조정 메커니즘의 구성요소 (협력·조정 영역, 방법, 및 구조) 간의 적합성(fit)이 이루어졌을 때 글로벌 생산성과는 가장 높다.

The purpose of this paper is to develop a customer-supplier partnership survey. To achieve this purpose, a customer-supplier partnership model is first proposed. And then, based on the partnership model proposed, each step that was taken to develop the customer-supplier partnership survey is described.

The conventional management which had economic requirement such as productivity, competition, customer satisfaction, and return needs the environmental management in order to meet a change of the external situation such as the environmental requirement (such as resources reduction, pollution prevention, and waste reduction). However, there have been a few studies which try to investigate internal factor and to regard external factors as negative ones. This paper proposes the external factors are significant to the performance. Several hypotheses were developed regarding the relationships. Based on the collected data from 126 firms, the hypotheses were analyed with SPSS.

Job-Shop Scheduling 문제는 전형적인 NP-hard 문제로서 효율적인 발견적 기법을 필요로 한다. 본 연구에서는 이 문제에 대한 유전알고리즘들의 성능을 비교 분석한다. 유전 알고리즘의 주요 구성 요소들로는 크게 선별, 교차, 돌연변이 등이 존재하는데, 특히 선별은 적자 생존의 자연 법칙에 기초하여, 환경에 대한 적응도에 의해 현 세대의 모집단으로부터 다음 세대에 생존할 개체를 선택하는 과정으로 해의 산출에 중요한 역할을 하는 부분이다. 기존의 많은 연구들이 유전 연산자인 교차, 돌연변이 방법들에 대한 성능 비교에 초점을 맞추었는데, 본 연구에서는 선별 과정에 초점을 맞추어 기존의 알려진 여러 선별 방법 들을Job-Shop Scheduling 문제에의 적용을 통해 비교 분석하고 새로운 선별 방법을 제안한다.

This study proposes JPT(Job-Pair Tardiness) that choose operation to be expected to generate better schedule consequence in comparing schedulable operation sets in pair to minimize total tardiness evaluation function in performing scheduling. In result of comparison with existing assignment rules. JPT generates better solution than most other rules in all kinds of problems. So it is anticipated that this is used for initial solution of heuristic and is used for finding more improved solution.

This paper proposes inter-level causal reasoning to implement synergistic approach. We decompose KOSPI prediction model into economy and industry level. Two kinds of intra-level QCOM are combined in inter-level QCOM via Inter-level relations. Downward reasoning is achieved by propagating the disturbance in the higher level to lower level while upward reasoning is to analyze the reverse cases.

Artificial Intelligence literatures have recognized that stock market is a highly unstructured and complex domain so that it is difficult to find knowledge that belongs to that domain. This paper demonstrates that the proposed QCOM can derive global knowledge about stock market on the basis of a set of local knowledge and express it as a digraph representation. In addition, inference mechanism using quantitative causal reasoning can describe the qualitative and quantitative effects of exogenous variables on stock market.

현재 국내 경제는 그 어느 때 보다 심각한 전환기에 처해 있다. 과거 한국이 갖고 있던 장점은 우수한 노동력이었으나 이제는 더 이상 경쟁력의 원천이 될 수 없다 남은 유일한 방법은 인적자원의 창조적 활용이다. 여기서 인적 자원은 산업사회의 단순한 노동력이 아닌 인력의 질, 즉 지식이다. 기업지식체계는 기업의 무형 지적자산을 체계적으로 창출, 축적, 활용하는 기반이며 지식경영의 핵심 기술이다. 본 논문은 지식 생산이 기업경쟁력 제고의 핵심으로 점차 그 중요성이 증대되고 있음을 주목하여 지식 창조적 기업 지식 체계를 위한 개념적 연구 모형을 제안한다 연구모형으로 우선 기업지식 창출과정이 소개되며 기업지식 형태와 연관관계가 파악된다. 이 지식창조과정에 근거하여 지식 사용자환경, 지식마이닝. 지식활용, 지식관리 서브시스템. 지식 리파지토리로 구성된 기업지식체계가 제시된다. 본 연구 모형은 향후 여타 지식경영 연구의 출발점으로 사용될 수 있도록 유연하게 구성되는데 중점이 주어졌다.

The environment of the access network service market is characterized by uncertain demand and various competing alternative technologies. In Korea, despite the introduction of competition, dominant Public Network Operator(PNO) still leads the market. Therefore, the decision of PNO has a great impact on the access network evolution. In this paper, we propose an model which aims to reduce risks and both investment and operating costs, to cope with the uncertain demand and technology evolution. We expect this model to provide a tool analyze risks and evaluate various strategies on the network evolution.

In this paper, as a forecasting method, the market survey for forecasting demand is introduced for the estimation of subscriber line demand in the optical access networks. The market survey method for the new multimedia services is attempted to collect information directly from customers using the questionnaires for home-users and business-users in local loops. Analysis rationale of questionnaires is suggested to estimate the number of subscriber lines. Also, two measures are presented to quantify the credibility on survey responses; one is the probability that the customer will use the multimedia services and the other is the rate that the subscriber line demand will be actually realized. The former measure is calculated based on the information on customers and the Logit analysis. The latter is obtained by the degree of customer's knowledge about specific services and the customer's willingness to use the services. Based on the values of two measures, the number of subscriber line demand can be developed for installing the optical access networks.

막대한 투자비용이 소요될 것으로 예측되고 있는 초고속 정보통신 가입자망의 구축을 경제적으로 하는 것은 원가절감을 통해 경쟁에서 유리한 위치를 점하려고 하는 망 사업자의 입장에서 볼 때, 필수적 요건이 아닐 수 없다. 다양한 대체기술 존재와 극심한 수요 불확실성으로 대표되는 초고속 가입자망 시장환경은 망사업자의 투자결정을 늦추게 하는 주요한 요인이기도 하다. 본 연구의 목적은 여러 가지 망 구축 기술대안을 평가하기 위한 경제성 분석 절차에 대해 살펴보고 특정지역에의 시장진입시에 고려할 수 있는 망 구축 진화전략을 경제성 분석으로 연결시킬 수 있는 경제성 분석 툴 개발에 있다.

This paper presents a valuation methodology for optional calling plan contracts on free-phone calls in the telephone industry. Utilization of the model is not limited to valuation and consequent decision making for the subscribers; it provides a useful guideline for telephone companies in designing calling plans and assessing subscribers' behavior.

DNC(Distributed Numerical controller)는 제품을 생산하기 위해 현장용 컴퓨터를 이용하여 공작기계 및 주변장치를 제어하고 감시한다. 본 논문에서는 SFC/OP(Shop Floor Control/point of Production) 시스템과 연계시키기 위한 DNC 시스템의 구조를 제시한다. 본 시스템은 도면 정보를 유기적으로 연결하여 작업절차서를 조회하고, 작업절차서 및 NC 프로그램/공구 보정 데이타를 인덱스 데이터베이스화하고, 소재·지그·공구를 연계한다. 또한 생산정보를 빠르고 능동적으로 현장 작업자에게 전달하고, 기계의 상태정보를 기계로부터 직접 수집함으로써 실시간 모니터링이 가능하다. 분석 및 설계단계에서는 실시간으로 발생하는 이벤트를 처리하기 위해 상태전이도(State Transition Diagram)를 사용한다. 서버 DBMS(Database Management System)로 관계형 데이터베이스를 채택한 Oracle을 사용하였고, 프로그램 개발도구로는 Developer 2000, Microsoft Visual C++ 5.0을 사용하여 구현한다.

Several constraints in machine duplication cost, machining capability, cell space capacity, intercell moves and exceptional elements(EEs) are main problems that prevent achieving the goal of ideal Cellular Manufacturin System (CMS) environment. Minimizing intercell part traffics and EEs are the main objective of the cell formation problem as it's a critical point that improving production efficiency. Because the intercell moves could be changed according to the sequence of operation, it should be considered in assigning parts and machines to machine cells. This paper presents a method that eliminates EEs under the constraints of machine duplication cost and cell space capacity attaining two goals of minimizing machine duplications and minimizing intercell moves simultaneously. Developing an algorithm that calculates the machine duplications by cell-machine incidence matrix and part-machine incidence matrix, and calculates the exact intercell moves considering the sequence of operation. Based on the number of machine duplications and exact intercell moves, the goal programming model which satisfying minimum machine duplications and minimum intercell moves is developed. A linear programming model is suggested that could calculates more effectively without damaging optimal solution. A numerical example is provided to illustrate these methods.

In this paper we examine long-term memory of the financial time-series by employing the R/S analysis, the Hurst exponent estimation, and the modified R/S analysis. The null hypothesis of white-noise is tested using the NYSE daily indexes from January 1966 to July 1998, and the results show that long-range dependence exists before the apparent structural break of the Black Monday in 1987.

최근 Ravi와 Goemanns는 즉 전체 길이의 합이 일정한 값을 넘지 않는 최소비용신장나무(minimum spanning tree problem)를 구하는 문제의 (1+$\varepsilon$,1)-근사해를 구할 수 있는 알고리듬을 제시하였다. 즉 비용은 최적을 보장하지만 전체길이 제약조건은 근사적으로 만족하는 해를 생성한다. 그러나 이러한 알고리듬은 문제의 비가능해를 생성 할 수 있으며 1/$\varepsilon$에 대하여 지수함수의 수행시간을 갖는다. 본 논문에서는 Ravi와 Geomanns의 알고리듬을 실용적으로 변형하여 전체 길이 제약조건을 정확히 만족하며, 그 비용은 최적비용과의 차이가 호의 비용 중 최대값을 넘지 않도록 보장하는 강성다항식 알고리듬을 제사한다.

This paper examines the mutlivariate nearest neighbor forecasting model which considers the volume traded as well as the stock price. The empirical results using the data from KOSPI indicate that the predictive power of the nearest neighbor model increases as the model becomes mutlivariate.

The purpose of this study is to present a method for determining the k most vital arcs in the maximum flow problem using a heuristic method. Generally, the problem which determine the k most vital arcs in maximum flow problem has known as NP-hard. Therefore, in this study we propose a method for determining all the k most vital arcs in maximum flow problem using a genetic algorithm. The proposed algorithm found all alternatives within shorter time than other heuristic methods. The method presented in this study can determine all the alternatives when there exists other alternative solutions.

Two reasons for the low success rate of the practical implementation of BPR are the lack of good models and consideration of information system development stage in a BPR project. This paper suggests an Integrated Business Process Model (IBPM), which incorporates two distinct but interrelated points of view: form and business process. By integrating the form model with the business process model, the IBPM has advantages in performing BPR projects; it helps to build the model, to analyze and redesign business processes, and to do requirement analysis of information systems. This paper also suggests a new BPR supporting tool, BRAWII(Business Reengineering Assistance Workbench version 2.0). BRAWIIsupports IBPM and manages full stages of BPR project. In the design of BRAWII, the linkage between results of a BPR project and requirements for information system development is considered.

BPR에 있어서 다른 경영혁신 기법이나 모든 사회적 활동에 공통적인 요소 즉 인간적, 정치적, 조직행태적 요소를 제외하면 재설계된 프로세스를 실세계에 구현 시키는 정보전략계획, 정보시스템 개발, 정보시스템 인프라스트럭춰 구축등 정보기술이 가장 핵심적인 요소가 된다 본 논문에서는 BPR 프로젝트의 성공적인 수행을 위한 방법론으로서 동시공학적 BPR을 제시한다. 컨커런트 BPR은 BPR과 IT를 동시 연계시키는 방법론과 BPR과 IT구현 사이의 커다란 단절을 이어주는 모델을 제시한다. 이렇게 함으로써 BPR의 자리 매김을 다시 하고 BPR을 간접비 절감, 인원과 조직의 축소, 생산성 향상운동의 일환으로 이해 할 것이 아니라 기업의 근본적 변혁 매니지먼트의 핵심기법으로서 부서를 넘어선 회사전체, 나아가 그 회사가 속한 가치 시스템(Value System), Supply Chain에서 고객을 포함한 모든 이해 관계자의 가치증진을 추구하는 것으로 받아 들여야 함을 강조한다.

본 연구는 백화점에 대한 전체적인 고객만족에 관하여 기존 연구들을 확장하여 매장관련과 서비스 관련으로 구분하고 이에 지역적 특성을 고려한 향토성관련요인을 추가하여 이러한 특징들이 향토백화점, 지방백화점(부산 외 지역소재)간의 고객만족에 미치는 중요성과 차이를 밝히고 또한, 만족에 관한 결과 변수간의 구조적인 관계를 규명해 보고자 시행하였다. 연구결과, 도입된 매장관련과 서비스관련특성들이 전체적인(향토/지방) 고객만족평가에 긍정적 영향을 미쳤고, 이러한 고객만족은 결과변수인 재구매와 구전의사에 유의한 영향을 미치는 것으로 나타났다. 그러나 향토성관련요인은 향토백화점들과 타지방백화점들간의 차이는 보이고 있으나 이러한 차이들이 실제로 고객만족에 유의한 영향을 미치지는 못하는 것으로 밝혀졌다. 또한 향토백화점과 지방백화점을 구분하여 향토성관련요인을 분석한 결과 향토백화점인 경우 부정적인 영향을 미치는 것으로 나타났고, 지방백화점인 경우는 유의한 영향을 미치지 못하는 것으로 나타났다.

With the advances in concurrent engineering, schedulability has become an important design issue in machine loading and routing procedure. In this paper, four rules to improve schedulability of loading and routing are formulated as a mixed-integer programming model based on machine, routing and tool flexibilities. In this model, these rules are represented as an objective function or constraints. The impact of rules on the quality of schedules for the result of loading and routing is measured with makespan, throughput and average machine utilization.

The increased demand for distance learning has created a need to explore the implications of the emerging paradigm shift on the learning environment. This paper is introducing the framework of distance learning in higher education. It also presents the experience of developing a course for distance learning.

본 연구에서는 공간정보를 활용한 전산망 관리시스템을 개발하고자 한다. 이 시스템은 Spatial Data Manager, Network Manager, 3D Viewer 세 부분으로 구성되었다. Spatial Data Manger는 공간상의 Network 장비 및 각종 시설물의 위치와 속성정보를 보여준다. 속성정보 중에서 IP(Internet Protocol)정보는 Network Manager와 연결된다. Network Manager는 ICMP(Internet Control Message Protocol)를 사용하여 네트워크 상태를 파악한다. 3D Viewer는 사용자가 원하는 위치 및 방향에서 시설물을 볼 수 있도록 한다. Spatial Data Manager의 좌표는 3D Viewer의 Camera 좌표와 연동하여 사용자가 원하는 지역을 동시에 2차원과 3차원형태로 볼 수가 있다. 기존 전산망 관리시스템이 단지 수치적으로 네트워크의 상태에 관한 정보를 보여주던 것에 비하여, 개발된 시스템은 공간 위치를 같이 보여줌으로써 누전, 누수 등과 같이 다른 시설물이 전산망에 미칠 수 있는 영향과 전산망 케이블의 종류에 따라 다른 길이의 제약에 따른 영향 등을 분석할 수가 있다. 또한 다른 시설물의 도면 및 시설물에 관련된 기타 정보를 빠르게 검색할 수 있으므로 전산망관리 뿐만 아니라 통합적인 관리를 할 수 있다. 이를 통해 전산망 관리비용을 줄일 수 있을 것으로 기대된다.

본 연구에서는 위성영상 및 항공영상을 이용하여 여러 가지 정보를 추출하였다. 시간적으로 차이가 있는 Landsat TM (Thematic Mapper) 영상과 항공영상을 이용하여 변화 지역을 검출하였다. 변화지역 검출시 각 연도별로 비교사 알고리듬인 ISODATA를 이용하여 영상 분류를 행한 후, 분류 결과를 이용하여 지형이 변화된 지역을 추출함으로써 지형변화 추출 곁과의 정확도를 높일 수 있었다. 또한 부화소 (sub-pixel) 개념을 도입하여 비접근 지역의 도로망과 경작지역에 대한 피복 분류를 행하였다. 본 연구에서 사용한 알고리듬이 비접근 지역에 대한 지형정보 분석에 유용함을 알 수 있었다.

Recently, local governments have started projects of implementing Geographic Information Systems (GIS) as an infrastructure for the collection, storage, and analysis of the spatial information. So far, these projects have been approached from the areas such as the civil engineering and the computer science perspectives. Nonetheless, in order for a GIS project to be successful, it should be approached from the management perspectives as well. In this paper, the authors discusses about the management issues such as the determination of priority of the sub-projects, the organizational structure that takes charge of the project and the evaluation of the performance of the project.

정보기술의 발달과 경영패러다임의 변화로 데이터웨어하우스가 등장했다. 기존의 관계형 데이터베이스를 기반으로 하는 데이터웨어하우스에서는 사용자가 다양하고 복잡한 분석을 효율적으로 수행하기가 매우 어렵다. 따라서 새로운 데이터모델 즉 다차원 모델이 필요하게 되었다. OLAP(Online Analytical Processing)은 이런 다차원적인 기업 데이터를 사용자가 분석하고 Report 할 수 있게 만들고 관리하는 역할을 한다. 이러한 OLAP은 클라이언트/서버 구조를 가지는데 OLAP 제품별로 질의방법이나 보고방식들이 다르다. 따라서 최종 사용자는 다른 Client 툴을 사용할 경우 새로운 질의 방법과 보고방식을 익혀야한다. 그리고 커스텀화된 OLAP Client툴을 사용할 경우 Server가 바뀌면 사용할 수 없게 되는 단점이 있다. 이런 문제의 원인은 OLAP Client가 Server에 의존적이기 때문이다. 본 논문에서는 이러한 문제점을 해결하기 위해서 OLAP의 특성과 OLAP Client가 지녀야 하는 특성을 알아보고 이러한 요구사항에 맞는 OLAP Server에 의존적이지 않은 통합된 OLAP Client를 제시하고 실제 구현하였다.

본 연구는 A카드사에서 현재 실시하고 텔레마케팅 시스템에 데이터 마이닝을 적용하여 현실에서 어떻게 기업이 데이터마이닝을 이용하여 데이터베이스를 마케팅에 효과적으로 사용할 것인지에 대한 방향을 제시하고 있을 뿐만 아니라 현재와 미래에 대한 연구 방향을 제시하고 있다.

본 논문에서는 최근 데이터마이닝의 도구로 활발하게 소개되고 있는 의사결정나무 분석을 이용하여 개인휴대통신의 해지자 분석을 실시한다. 또한 로지스틱 회귀모형을 이용하여 가입고객의 해지 가능성에 대한 점수화를 시도한다.

방대한 양의 데이터들 속에 존재하는 일관된 흐름이나 경향을 파악해 내는 데이터 마이닝에 대한 관심이 확산되고 있다. 특히 항목들 상호간의 연관성을 나타내는 연관 규칙과 시간 개념이 포함되어 항목들 사이의 순서를 찾아내는 순차 패턴의 탐사는 데이터 마이닝에서 중요한 역할을 하고 있다. 본 논문에서는 트랜잭션 데이터베이스에서 연관 규칙과 순차 패턴을 탐사하는 시스템의 설계 및 구현에 관하여 기술한다. 연관 규칙을 위해 Aproiri, DHP를, 순차패턴을 위해 AprioriAll등 기존에 연구된 대표적인 알고리즘들을 사용하였고, Windows NT상에서 Visual C++과 JAVA언어로 구현하였다. 편리한 사용자 환경 구축을 위해, 데이터의 입력 형식으로 텍스트 타입과 MDB(Microsoft Access)형태를 모두 처리할 수 있게 하였고, 출력형식은 스프레드시트이다. 입력 데이터로 실험 데이터와 통계청의 DB 이용 로그 데이터에 대하여 본 시스템 을 수행하였다.

급격한 경영환경의 변화로 인하여 고객만족을 최우선시하게 됨에 따라, 고객의 다양한 품질 요구를 신속 정확히 만족시키는 것이 주요 경영과제가 되었다. 이러한 상황에 대처 가능한 품질관리가 이루어지기 위해서는 품질기준에 대한 객관적 검증 및 지속적인 보완이 필요하며, 품질설계에 관련된 지식들을 체계적으로 수집하여 공유할 수 있는 체제가 갖추어져야 한다. 이와 같은 목적을 달성하기 위해 인공지능 기법들을 이용한 지능형 품질시스템(Intelligent Quality System, IQS)이 많은 관심을 모으고 있다. 본 연구에서는 일관 제철소의 품질관리를 위해 개발된 IQS중 품질설계 시뮬레이션 지원시스템(Quality Design Simulation Support System, QDSim)에 대해 설명한다. QDSim은 신경망을 기반으로 설계 구현되었는데, 품질설계 시뮬레이션을 지원하기 위해 크게 두가지 기능을 수행한다. 첫째 기능은 주어진 원재료의 구성비와 조업조건에 의해 생산될 제품의 최종 품질특성을 예측하는 것이며, 두 번째는 품질예측치가 고객의 요구 품질, 즉 목표품질을 만족시키는 입력 조건을 찾아가는 것이다. 본 연구에서는 QDSim의 이론적 근거 및 구현내용을 설명한 후, IQS내의 타 시스템과의 관계를 설명한다.

This paper suggests the“infinite-retailer model”to approximate expected backorders per cycle of the One-warehouse N-retailer distribution system where the warehouse holds back some of the replenishment quantity to satisfy retailer backorders at the end of the cycle through direct shipping to customers. The main objective is to show the functional relationship between the warehouse inventory and the expected backorders per cycle. We illustrate the relationship using a uniform demand case.

This paper has a dual purpose. First, we consider a relaxation algorithm which seems to be particularly suitable for multicasting routing problems. We show that the algorithm has polynomial complexity. Second, to measure the quality of solutions in comparison to the optimal solutions over a wide range of network sizes for which the computation of the optimal costs is too excessive, we also propose a random graph generation scheme in which an asymptotic lower bound on the expected optimal cost can be computed as a function of network node size.

본 연구는 인터넷과 같은 가상공간에서의 칼라 영상 데이터에 대한 지적재산권 보호를 위한 Watermarking 기술을 연구하였다. 이미지에 Invisible Watermark를 삽입하였으며, 칼라 이미지를 압축, Filtering, truncation등과 같은 처리에도 Watermark의 내구성을 높이는 기술연구에 중점을 두었다.

Configuration is a set of building block processes, a series of selection and combining parts or components which composes a whole thing. A whole thing could be such a configurable object as manufacturing product, network system, financial portfolio, system development plan, project team, etc. Configuration problem could happen during any phase of product life cycle: design, production, sales, installation, and maintenance. Configuration has long been one of cost and time consuming work, because only high salaried technical experts on product and components can do configuration. Rework for error adjustments of configurations at later process causes far much cost and time, so accurate configuration is required. Under the on-line electronic commerce environment, configuration problem solving becomes more important, because component-based sales should be done automatically on the merchant web site. Automated product search, order placement, order fulfillment and payment make that manual configuration is no longer feasible. Automated configuration means that all the constraints among components should be checked and confirmed by configuration engine automatically. In addition, technical constraints and customer preferences like price range and a specific function required should be considered. This paper gives an brief overview of configuration problems: characteristics, representation paradigms, and solving algorithms and introduce CRSP(Constraint and Rule Satisfaction Problem) method. CRSP method adopts both constraint and rule for configuration domain knowledge representation. A survey and analysis on web sites adopting configuration functions are provided. Future directions of configuration for EC is discussed in the three aspects: methodology itself, companies adopting configuration function, and electronic commerce industry.

This paper presents a real-time Spatial Decision Support System(SDSS) for security camera image monitoring. Other SDSSs are not real-time systems, i.e., they show the images that are already transformed into data format such as virtual reality. In our system, the image is broadcasted in real-time since the purpose of the security camera needs to do it in real-time. With these real-time images, other systems do not add up anything more; the screen just shows the images from the camera. However in our system, we created a motion detection system so that the supervisor(Judge) of a sec.urity monitoring system does not have to pay attention to it constantly. In other words, we created a judge advising system for the supervisor of the security monitoring system. Most of small objects do not need the supervisor's attention since they could be birds, cats, dogs, etc. if they show up in the screen image. In this new system the system only report the unusual change to the supervisor by calculating the motion and size of objects in the screen. Thus the supervisor can be liberated from the 24-hour concentration duty; instead he/she can be only alerted when the real security threat such as a big moving object like an human intruder appears. Thus this system can be called a real-time Spatial DSS. The utility of this system is proved mathematically by using the concept of entropy. In other words, big objects like human intruders increase the entropy of the screen images significantly therefore the supervisor must be alerted. Thus by proving its utility of the system theoretically, we can claim that our new real-time SDSS is superior to others which do not use our technique.hnique.