• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.798-801
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• 1993

This paper presents the decision support system using fuzzy knowledge to adapt the cutting conditions chosen by a conventional expert system to a particular machine tool, workpiece and clamping system. These preliminary results demonstrate the capability of fuzzy logic to adjust cutting parameters taking into account parameters difficult to quantify.

• Asia pacific journal of information systems
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• 제11권3호
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• pp.127-147
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• 2001

This paper presents an analysis of Korean middle managers' decision-making processes. The sample included the observations of decisions made by 17 groups with 5 to 7 members each. The 5 hour-long, in average, decision processes were analysed by a modified system of Fisher's(1970) Interaction Process Analysis. The results showed that Korean managers followed alternative-focused decision processes, as opposite to value-focused ones. That is, the decision-making groups showed a strong trend to elaborate on alternative generation and evaluation right after the situation analysis. They tended to discuss the objectives of decision and relevant criteria only to resolve conflicts arisen during the evaluation process of alternatives. The analysis also showed that a decision proposition was more frequently followed by negative responses than positive ones and by interpretative evaluations than substantiative ones. The lessons from this study suggest a direction for the development of group decision support systems tailored for Korean cultural characteristics. This study is also meaningful as the first observation and empirical analysis of Korean middle managers' decision-making processes.

• 산업공학
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• 제25권3호
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• pp.338-346
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• 2012

Regarding the green environment, it is important to boost the spread of environmentally friendly vending machines and to operate the vehicles for their inventory replenishments while minimizing emissions of greenhouse gases. In general, the vending machine management company lacks capability to operate the supply chain effectively in an integrated way under the dynamic, complex, and stochastic environment. This paper presents a decision support system, termed DSSVM, for the operations of the general and smart vending machine supply chains with stock-out-based, one stage item substitution in a green logistics environment. The DSSVM supports the estimation of item demand and substitution probabilities, determination of operation parameters, supply chain analysis, what-if analysis, and $CO_2$ analysis for which various analytical models are employed.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권2호
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• pp.140-145
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• 2008

In this paper, we constructed the advanced cargo monitoring system for liquid cargo tankers which embedded the Decision Support System (DSS) based on the International Ship Management Code (ISM Code). To make this system, we first organized a base of expert's knowledge concerning liquid tanker operations that largely affect ocean accidents. We can find out the knowledge via inference method which simply imitates the fuzzy inference method. Based on this expert's knowledge, we constructed the DSS that provides a code of conduct for operating cargo tanks safely. The proposed monitoring system could eliminate human error when confronting dangerous situations, so the system will help sailors to operate cargo tanks safely.

• 한국군사과학기술학회지
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• 제25권5호
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• pp.501-512
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• 2022

The purpose of the weapon live test during the phase of development is to provide essential information to decision makers that verify and validate the performance capabilities of weapons. Due to varying allocation and high variance of test resources with an increase in the weapon system's capability, the test environment can get highly complex, which can lead to a decrease in the reliability of test results. This issue can be addressed by applying a decision support system that provides various timely information collected by resources during the test process. The decision support system can be designed by applying the concept of digital twins, that are defined as digital replicas of components, systems and processes. This paper describes a design methodology of the decision support system that consists of digital models and service functions using digital twin architecture. A case study illustrates the feasibility of the proposed methodology in supporting the weapon live test process.

• 산업공학
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• 제15권2호
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• pp.159-171
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• 2002

Data Warehouses integrate data from multiple heterogeneous information sources and transform them into a multidimensional representation for decision support applications. Data warehousing has emerged as one of the most powerful tools in delivering information to users. Most previous researches have focused on marketing, customer service, financing, and insurance industry. Further, relatively less research has been done on data warehouse systems in the complex manufacturing industry such as ship production, which is characterized complex product structures and production processes. In the ship production, data warehouse systems is a requisite for effective cost analysis because collecting and analysis of diverse and large of cost-related(material/production cost, productivity) data in its operational systems, was becoming increasingly cumbersome and time consuming. This paper proposes architecture of the data warehouse systems to support cost analysis in the ship production. Also, in order to illustrate the usefulness of the proposed architecture, the prototype system is designed and implemented with the object of the enterprise of producing a large-scale ship.

• Asia pacific journal of information systems
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• 제7권2호
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• pp.35-49
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• 1997

The usability of the Internet including WWW (World Wide Web) is dramatically growing in current business environment. These allow decision makers to enhance the productivity of decision making by referring valuable information in the remote sites, This paper presents the possibilities how WWW can be applied to build distributed and collaborative DSS, especially model management subsystem. A framework of Internet-based DSS is delineated, and then an idea of representing and managing models in the Internet-based DSS is suggested.

• Spatial Information Research
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• 제21권2호
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• pp.85-97
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• 2013

공간적 의사결정지원시스템을 이용하여 합리적 의사결정을 성공적으로 이끌어내기 위해서는 오랜 기간 축적된 사람, 건물, 토지, 사업체 등에 대한 공간정보가 필요하다. 해외에서는 공간의 최소단위를 정의하고 이 기반으로 정보를 구축하여 공간적 의사결정서비스에 활용하고 있다. 이러한 목적으로 우리나라에서도 국가기초구역이 고시되었지만 국가기초구역의 활용도를 높이기 위해서는 속성정보의 구축이 미비한 실정이다. 본 연구는 국가기초구역단위 공간데이터 축적을 통해 국가기초구역기반 의사결정지원시스템을 구축하는 전략제안을 목표로 한다. 전략은 정보시스템 구성요소에 맞도록 제도부문, 데이터 및 시스템 부문, 서비스 부문으로 나누어 제시되었으며, 이를 통해 국가의 최소 공간단위로서 국가기초구역의 역할이 더욱 견고해질 것으로 기대한다.

• 경영과학
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• 제9권1호
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• pp.53-65
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• 1992

Decision Support System(DSS) is an advanced information system concept prevailing since 1980s. It supports managers' decision making activities by providing not only information but decision alternatives. It essentially consists of the components of database, modelbase and dialogue systems. With the development of its databases, POSCO needs a number of modelbases in establishing DSSs in various areas such as production planning and investment. This research particularly focuses on establishment of a mid-and long-range investment DSS and investigates the necessity and the problems of an investment DSS and the decision criteria for investment priority. We (1) propose a modelbase which uses the concepts of Analytic Hierarchy Process(AHP) and Zero-Base Budgeting(ZBB), along with an appropriate scoring method, database and dialogue system to support the investment manager in evaluating investment proposals ; (2) implement the system using relational database management system ; and (3) discuss the results of implementing the investment DSS.

• Journal of Construction Engineering and Project Management
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• 제1권2호
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• pp.1-10
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• 2011

Bridges are critical and valuable components in any road and rail transportation network. Therefore bridge remediation has always been a top priority for asset managers and engineers, but identifying the nature of true defect deterioration and associated remediation treatments remains a complex task. Nowadays Decision Support Systems (DSS) are widely used to assist decision makers across an extensive spectrum of unstructured decision environments. The main objective of this research is to develop a requirements-driven methodology for bridge monitoring and maintenance which has the ability to assess the bridge condition and find the best remediation treatments using Simple Multi Attribute Rating Technique (SMART); with the aim of maintaining a bridge within acceptable limits of safety, serviceability and sustainability.