• 경영과학
• /
• 제28권2호
• /
• pp.17-29
• /
• 2011

The purpose of this paper is to schedule elective surgery patients using a stochastic programming approach and to illustrate how operating room utilization behaves when a decision-maker varies costs associated with utilization. Because of the uncertainty in surgery durations, the underage and overage costs that a decision-maker considers plays an important role in allocating surgery cases into available operating room capacity. We formulate the problem as a stochastic mixed integer programming and propose a sampling-based approximation method for a computational purpose. Newsvendor model is employed to explain the results from numerical experiments that are conducted with the actual data from a hospital. The results show that the operating room utilization is more sensitive when the unit overtime cost is relatively larger than the unit cost for underutilized time.

• 한국경영과학회지
• /
• 제40권3호
• /
• pp.49-61
• /
• 2015

We study the problem of multiple response optimization (MRO) and focus on the selection of input levels which will produce desirable output quality. We propose an interactive multiple objective optimization approach to the input design. The earlier interactive methods utilized for MRO communicate with the decision maker only using the response variable values, in order to improve the current response values, thereby resulting in the corresponding design solution automatically. In their interaction steps of preference articulation, no account is taken of any active changes in design variable values. On the contrary, our approach permits the decision maker to change the design variable values in its interaction stage, which makes possible the consideration of the preference or economics of the design variable side. Using some typical value functions, we also demonstrate that our method converges reasonably well to the known optimal solutions.

• 경영과학
• /
• 제10권2호
• /
• pp.11-26
• /
• 1993

This paper presents a new interactive procedure for multiple objective linear programming problem (MOLP). In practical multiple objective linear programming applications, there is usually no need for the decision maker to consider solutions which are not efficient. Therefore, the interactive procedure presented here searches only among efficient solutions and terminates with a solution that is guaranteed to be efficient. It also can converge to nonextreme efficient final solutions rather than being restricted to only extreme efficient points of the feasible set. The procedure does not require sophisticated judgements or inputs from the decision maker. One of the most attractive features of the procedure however, is that the method allows the DM to examine the efficient faces it finds. As iteration goes, the DM can explore a wide variety of efficient faces rather than efficient faces confined to only certain subregion of the feasible set of problem MOLP since the efficient faces that the procedure finds need not be adjacent. This helps the DM explore the nature of the efficient set of problem MOLP and also helps the DM have confidence with a final solution. For these reasons, I feel that the procedure offer significant promise in solving multiple objective linear programs rapidly and in a satisfying manner to the DM.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2001년도 ICCAS
• /
• pp.134.6-134
• /
• 2001

The purpose of navigation algorithm is to reach a given target point without collision with obstacles while an autonomous mobile robot is navigating. To achieve a safe navigation, this paper presents an effective navigation algorithm for the autonomous mobile robot equipped with ultrasonic sensors in unknown environments. The proposed navigation algorithm consists of an obstacle-avoidance behavior, a target-reaching behavior and a fuzzy-based decision maker. In the obstacle-avoidance behavior and the target-reaching behavior, artificial immune networks are used to select a proper steering angle, make the autonomous mobile robot avoid obstacles and approach a given target point. The decision maker using fuzzy inference systems weights the steering angles selected ...

• 한국전자거래학회:학술대회논문집
• /
• 한국전자거래학회 2004년도 e-Biz World Conference
• /
• pp.134-149
• /
• 2004

This paper is aimed at proposing a fuzzy inference mechanism to enhancing the quality of cognitive map-based inference. Its main virtue lies in the two mechanisms： (1) a mechanism for avoiding a synchronization problem which is often observed during inference process with traditional cognitive map, and (2) a mechanism for fuzzifying decision maker's subjective judgment. Our proposed fuzzy inference mechanism (FIM) is basically based on the cognitive map stratification algorithm which can stratify a cognitive map into number of strata and then overcome the synchronization problem successfully. Besides, the proposed FIM depends on fuzzy membership function which is administered by decision maker. With an illustrative B2B negotiation problem, we applied the proposed FIM, deducing theoretical and practical implications. Implementation was conducted by Matlab language.

• 한국지능시스템학회논문지
• /
• 제19권3호
• /
• pp.350-354
• /
• 2009

Y. R$\acute{e}$ball$\acute{e}$[Fuzzy Sets and Systems, vol.157, pp.3025-2039, 2006] discussed the representation of necessity measure through the Choquet integral criterian. He also considered a decision maker who ranks necessity measures related with Choquet integral representation. Our motivation of this paper is that a decision maker have an "ambiguity" necessity measure to present preferences. In this paper, we discuss the representation of interval-valued necessity measures through the Choquet integral criterian.

• 품질경영학회지
• /
• 제33권1호
• /
• pp.64-72
• /
• 2005

The ever increasing demand for enhanced competitiveness of engineered products requires "designing-in-quality" strategies that can effectively and efficiently incorporate concepts of uncertainty and quality into design. Multi-attribute utility function is commonly used to represent the decision-maker's preference on multiple design attributes under conditions of uncertainty and risk. One of the major issues in implementing this approach concerns the generation of appropriate utility function, especially in a complex engineering design environment. Typically, the decision maker's preference is revealed through lottery questions rather than being structured on the deductive reasoning to reflect the nonlinear tradeoffs among the attributes. The use of such intuitive procedures can lead to inexact preference information that may result in inaccuracy and rank reversal problems. This paper presents an alternative procedure based on the pair-wise comparisons between design alternatives towards a consistent preference presentation in assessing multiplicative utility function. The effectiveness of the overall procedures is tested with the aid of an injection-molding process design for a capacitor can and the results are discussed.

• 정보과학회지
• /
• 제24권3호
• /
• pp.35-42
• /
• 2006

본 논문에서는 내장형 소프트웨어 시스템, 특히 로봇 소프트웨어를 위한 self-managed 소프트웨어 개발 프레임워크로서 SHAGE 프레임워크를 제안하였다. SHAGE 프레임워크는 소프트웨어를 실행시간에 동적으로 변경시킬 수 있도록 지원하는 여러 모듈로 구성되어 있다. Observer가 외부 상황을 관찰하고 관찰된 상황이 Architecture Broker로 전달되면 후보 아키텍처 재구성 전략을 검색하고 Component Broker가 구체화 컴포넌트들을 검색한 후 상황에 적절한 아키텍처 재구성 전략과 컴포넌트 구성을 Decision Maker가 선택한다. Reconfigurator가 선택된 전략과 컴포넌트 구성을 기초로 로봇의 아키텍처를 재구성한다. 적응행위를 Evaluator가 평가하고 그 결과를 Learner가 축적하여 나중에 Decision Maker가 사용할 수 있게 한다. 프레임워크의 효용성을 확인하기 위해서 실제 로봇을 이용한 사례연구를 수행하였고, 이 실험을 통해 적응 과정을 확인하였다. 로봇은 상황과 사용자의 피드백에 적응하였다.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
• /
• pp.123-128
• /
• 1996

In this paper, a fuzzy controller is proposed for the operation of stoker-type refuse incinerator with many kinds of uncertain factors. To build the exact mathematical model is very difficult because of the variation of physical/chemical properties of refuse as a fuel and the complexity of the combusiton process. The fuzzy controller consists of fuzzy sensor, fuzzy decision maker and tracking part. The rules based on the professional operators empirical knowledge are made for the control of the boiler evaporation rate, emission gas and refuse throughput. For the performance measure of the proposed fuzzy controller, the model of the incinerator is constructed and the simulation results are given.

• Asia pacific journal of information systems
• /
• 제9권1호
• /
• pp.99-113
• /
• 1999

Studies of information technology assimilation have been limited primarily to information technology implementation issues that arise after purchasing and/or developing information technology and applications. Thus there is a need to step back and investigate what motives a manager to implement a information technology for his organization use. The purpose of this paper is to examine decision maker's attitudes and internal beliefs, especially the construct of alienation. This study findings indicate that decision-maker computer knowledge, computer experience, and education level are closely associated with alienated beliefs and attitudes toward information technology. Assuming technologies can provide advantages, these findings point to the need for change agents to minimize alienating beliefs and attitudes.