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Extended TOPSIS를 이용한 생산 스케줄의 만족도 평가
차영필,정무영 한국경영과학회 2001 한국경영과학회 학술대회논문집 Vol.- No.1(2)
In the rapidly changing manufacturing environment and marketplaces of today, the selection and evaluation of an appropriate manufacturing policy is a vital issue. However, this is a difficult task for decision makers, because manufacturing objectives are multiple, complex, conflict, and often vague. This paper presents a methodology for a satisfaction assessment of multi-objective schedules with results from the scheduling simulator. Various performance indicators(criteria) are aggregated into a satisfaction score for schedule assessment. We propose an aggregation methodology to provide a consistent and dimensionless degree of satisfaction using fuzzy logic and neural network technology to assess a production schedule respect to the company's global, objective and purpose. This paper extends TOPSIS, which is a common technique for MADM(Multi-Attribute Decision Making) problems, by using fuzzy logic to deal with inaccurate and linguistic information, such as expertise, and uses Extended TOPSIS as the aggregation tool.
분산 생산 시스템을 위한 에이전트 기반의 협업 시뮬레이션 체계
차영필,정무영 한국경영과학회 2003 한국경영과학회 학술대회논문집 Vol.- No.1
Maintaining agility and responsiveness in designing and manufacturing activities we the key issues for manufacturing companies to cope with global competition. Distributed design and control systems we regarded as an efficient solution for agility and responsiveness. However, distributed nature of a manufacturing system complicates production activities such as design, simulation, scheduling, and execution control. Especially, existing simulation systems have limited external integration capabilities, which make it difficult to implement complex control mechanisms for the distributed manufacturing systems. Moreover, integration and coupling of heterogeneous components and models are commonly required for the simulation of complex distributed systems. In this paper, a collaborative and adaptive simulation architecture is proposed as an open framework for simulation and analysis of the distributed manufacturing enterprises. By incorporating agents with their distributed characteristics of autonomy, intelligence, and goal-driven behavior, the proposed agent-based simulation architecture can be easily adapted to support the agile and distributed manufacturing systems. The architecture supports the coordination and cooperation relations, and provides a communication middleware among the participants in simulation.