• Title/Summary/Keyword: intelligent manufacturing

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Adaptive Genetic Algorithm for the Manufacturing/Distribution Chain Planning

  • Kiyoung Shin;Chiung Moon;Kim, Yongchan;Kim, Jongsoo
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.170-174
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    • 2003
  • In this research, we consider an integrated manufacturing/distribution planning problem in supply chain (SC) which has non-integer time lags. We focus on a capacitated manufacturing planning and capacity allocation problem for the system. We develop a mixed binary integer linear programming (MBLP) model and propose an efficient heuristic procedure using an adaptive genetic algorithm, which is composed of a regeneration procedure for evaluating infeasible chromosomes and the reduced costs from the LP-relaxation of the original model. The proposed an adaptive genetic algorithm was tested in terms of the solution accuracy and algorithm speed during numerical experiments. We found that our algorithm can generate the optimal solution within a reasonable computational time.

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A Study on Intelligent FMS Designer (FMS Designer 의 지능화에 관한 연구)

  • Hwang, Jong-Hyun;Jung, Moo-Young
    • IE interfaces
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    • v.5 no.2
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    • pp.53-74
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    • 1992
  • In order to design an FMS(Flexible Manufacturing System), an effective design tool is necessary for selecting and anlayzing the complex interacting factors of a manufacturing system. Considering most of the previous researches have been focused on evaluating the designed FMS, development of an integrated FMS designing system is needed for performing the design task such as machine selection and layout determination as well as the evaluation task of the designed FMS. In this paper, we developed a prototype of such a system called the intelligent FMS designer based on the techniques of Expert System and Simulation. By using this designing system, possible design alternatives can be analyzed and appropriate manufacturing capacity can be estimated at the designing stage. Various operating characteristics of the designed FMS can be also predicted before it is implemented. Eventually a suitable design alternative can be provided with cost details within relatively short time period. To demonstrate the performance and effectiveness of the designer, a simple example is tested. The results show a great potential for automating design processes of an FMS.

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Solvent Manufacturing Process Monitoring using Artificial Neural Networks

  • Lim, Chang-Gyoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.2
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    • pp.264-269
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    • 2005
  • Advances in sensors, actuators, and computers and developments In information systems offer unprecedented opportunities to implement highly ambitious automation, control and decision strategies. There are also new challenges and demands for control and automation in modern industrial practices. There is a growing need for an active participation from the information systems in industrial, manufacturing and process industry environments because currently there are many control problems. This paper provides pattern recognition to the monitoring system for solvent manufacturing process and shows performance in real-time response with multiple input signals. Data is teamed by a multilayer feedforward network trained by error-backpropagation. The two kinds of test results show that the trained network has the ability to show the current system status with different input data sets.

H-infinity Discrete Time Fuzzy Controller Design Based on Bilinear Matrix Inequality

  • Chen M.;Feng G.;Zhou S.S.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.6 no.2
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    • pp.127-137
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    • 2006
  • This paper presents an $H_{\infty}$ controller synthesis method for discrete time fuzzy dynamic systems based on a piecewise smooth Lyapunov function. The basic idea of the proposed approach is to construct controllers for the fuzzy dynamic systems in such a way that a Piecewise smooth Lyapunov function can be used to establish the global stability with $H_{\infty}$ performance of the resulting closed loop fuzzy control systems. It is shown that the control laws can be obtained by solving a set of Bilinear Matrix Inequalities (BMIs). An example is given to illustrate the application of the proposed method.

An object-oriented approach to the cell activity representation for an intelligent manufacturing system (IMS)

  • Choi, Kyunghyun;Cho, Kyu-Kab
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.39-42
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    • 1995
  • A new methodology for representing the interaction between machines and the interlock signals required in FMCs has been developed. Object-Oriented Philosophies (OOPs) lend themselves to the development of such a scheme. A methodology developed here regards the tasks to be performed by the cell or any of its constituent machines for being primal. Sensory signals indicating the changes of state pf machines are used to trigger or initiate tasks. A task may be simple and require a relatively short time to execute, or may be complex and lengthy. This methodology may be depicated by a set of diagrams called Task Initiation Diagram (TID) and their accompanying rules.

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Design and Control of Industrial Dual Arm Robot (산업용 양팔로봇의 설계 및 제어)

  • Park, Chan-Hun;Park, Kyoung-Taik
    • Journal of the Korean Society for Precision Engineering
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    • v.25 no.11
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    • pp.58-65
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    • 2008
  • The study on dual arm robot manipulator which consists of two 6-DOF srms and one 2-DOF torso is introduced. This dual arm robot manipulator is designed for automation of assembly process in automotive manufacturing line. Each industrial 6-DOF arm can be used as a stand-alone type of industrial robot manipulator with 6-DOF and as a manipulator part of dual arm robot at the same lime. These structures help the robot maker willing to succeed in emerging market of dual arm robots have the high competitive power for the current industrial robot market and the emerging market of dual arm robot at the same time. The research results of the design concept, workspace analysis and the PC-based controller will be introduced.

Agile and Intelligent Manufacturing System for Automatic Assembly of a Tiny Ultrasonic Actuator (초소형 초음파 선형 모터의 조립 자동화를 위한 지능형 민첩 생산시스템)

  • Kim W.;Kang H.S.;Cho Y.J.;Lee G.B.;Jung J.Y.;Suh I.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.607-608
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    • 2006
  • This article deals the development of Agile and Intelligent Manufacturing System(AIM) for the assembly automation of a tiny ultrasonic actuator used in camera phones and PDAs. The system consists of multi-vision modules, end-effectors, a standard base frame, dispensers, jigs and modular manipulators. Subsystems are a vision system, a force control system and a virtual reality system. Experimental results show that the assembly process for the small components in the various IT applications can be realized by the AIM system.

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Development of Heterarchical Control System through Automated Plant Monitoring (공장모니터링을 통한 수평구조 공장제어시스템의 개발)

  • Lee, Seok-Hee;Bae, Yong-Hwan
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.1
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    • pp.108-118
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    • 1997
  • The heterarchical structure provides a more attractive solution to the conventional hierarchical structure as the density and level of distrubution of computing resources in manufacturing system expands. Tracing the evolution of control structures for automated manufacturing systems, this paper discusses the design principles for heterarchical system to reduce complexity, increase extendability, flexible configurability and suggests a good example of real-time adaptation using the concept of intelligent agent of manufac- turing entities and fault diagmosis system.

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Design of an Intelligent Controller of Mobile Robot Using Genetic Algorithm (제네틱 알고리즘을 이용한 이동로봇의 지능제어기 설계)

  • 정동연;김종수;한성현
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2003.10a
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    • pp.207-212
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    • 2003
  • This paper proposed trajectory tracking control of Mobile Robot. Trajectory tracking control scheme are Real coding Genetic-Algorithm and Back-propergation Algorithm. Control scheme ability experience proposed simulation.

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