Performance management of integrated manufacturing system networks

Suk Lee, Asok Ray, Keum Shik Hong, Joongsun Yoon, Myung Chul Han

    Research output: Contribution to journalArticle

    Abstract

    Performance management of communication networks is critical for speed, reliability, and flexibility of information exchange between different components, subsystems, and sectors (e.g., factory, engineering design, and administration) of production process organizations in the environment of Computer Integrated Manufacturing (CIM). The objective is to improve the efficiency in handling various types of messages, e.g., control signals, sensor data and production orders, by on-line adjustment of the parameters of the network protocol. This paper presents conceptual design, development, and implementation of a performance management procedure for CIM applications. The performance management algorithm is formulated using the concepts of: (i) perturbation analysis of discrete event dynamic systems; (ii) stochastic approximation; and (iii) learning automata. The performance management procedure has been tested via emulation on a network testbed that is based on the Manufacturing Automation Protocol (MAP). The conceptual design presented in this paper offers a step forward to bridging the gap between management standards and users' demands for efficient network operations since most standards such as ISO and IEEE address only the architecture, services, and interfaces for network management. The proposed concept for performance management can also be used as a general framework to assist design, operation, and management of flexible manufacturing systems.

    Original languageEnglish (US)
    Pages (from-to)269-285
    Number of pages17
    JournalKSME Journal
    Volume9
    Issue number3
    DOIs
    StatePublished - Jan 1 1995

    Fingerprint

    Computer integrated manufacturing
    Conceptual design
    Network protocols
    Flexible manufacturing systems
    Network management
    Testbeds
    Telecommunication networks
    Interfaces (computer)
    Industrial plants
    Dynamical systems
    Automation
    Sensors

    All Science Journal Classification (ASJC) codes

    • Mechanics of Materials
    • Mechanical Engineering

    Cite this

    Lee, Suk ; Ray, Asok ; Hong, Keum Shik ; Yoon, Joongsun ; Han, Myung Chul. / Performance management of integrated manufacturing system networks. In: KSME Journal. 1995 ; Vol. 9, No. 3. pp. 269-285.
    @article{180d94163964408092766afcba296496,
    title = "Performance management of integrated manufacturing system networks",
    abstract = "Performance management of communication networks is critical for speed, reliability, and flexibility of information exchange between different components, subsystems, and sectors (e.g., factory, engineering design, and administration) of production process organizations in the environment of Computer Integrated Manufacturing (CIM). The objective is to improve the efficiency in handling various types of messages, e.g., control signals, sensor data and production orders, by on-line adjustment of the parameters of the network protocol. This paper presents conceptual design, development, and implementation of a performance management procedure for CIM applications. The performance management algorithm is formulated using the concepts of: (i) perturbation analysis of discrete event dynamic systems; (ii) stochastic approximation; and (iii) learning automata. The performance management procedure has been tested via emulation on a network testbed that is based on the Manufacturing Automation Protocol (MAP). The conceptual design presented in this paper offers a step forward to bridging the gap between management standards and users' demands for efficient network operations since most standards such as ISO and IEEE address only the architecture, services, and interfaces for network management. The proposed concept for performance management can also be used as a general framework to assist design, operation, and management of flexible manufacturing systems.",
    author = "Suk Lee and Asok Ray and Hong, {Keum Shik} and Joongsun Yoon and Han, {Myung Chul}",
    year = "1995",
    month = "1",
    day = "1",
    doi = "10.1007/BF02953626",
    language = "English (US)",
    volume = "9",
    pages = "269--285",
    journal = "KSME Journal",
    issn = "1738-494X",
    number = "3",

    }

    Performance management of integrated manufacturing system networks. / Lee, Suk; Ray, Asok; Hong, Keum Shik; Yoon, Joongsun; Han, Myung Chul.

    In: KSME Journal, Vol. 9, No. 3, 01.01.1995, p. 269-285.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Performance management of integrated manufacturing system networks

    AU - Lee, Suk

    AU - Ray, Asok

    AU - Hong, Keum Shik

    AU - Yoon, Joongsun

    AU - Han, Myung Chul

    PY - 1995/1/1

    Y1 - 1995/1/1

    N2 - Performance management of communication networks is critical for speed, reliability, and flexibility of information exchange between different components, subsystems, and sectors (e.g., factory, engineering design, and administration) of production process organizations in the environment of Computer Integrated Manufacturing (CIM). The objective is to improve the efficiency in handling various types of messages, e.g., control signals, sensor data and production orders, by on-line adjustment of the parameters of the network protocol. This paper presents conceptual design, development, and implementation of a performance management procedure for CIM applications. The performance management algorithm is formulated using the concepts of: (i) perturbation analysis of discrete event dynamic systems; (ii) stochastic approximation; and (iii) learning automata. The performance management procedure has been tested via emulation on a network testbed that is based on the Manufacturing Automation Protocol (MAP). The conceptual design presented in this paper offers a step forward to bridging the gap between management standards and users' demands for efficient network operations since most standards such as ISO and IEEE address only the architecture, services, and interfaces for network management. The proposed concept for performance management can also be used as a general framework to assist design, operation, and management of flexible manufacturing systems.

    AB - Performance management of communication networks is critical for speed, reliability, and flexibility of information exchange between different components, subsystems, and sectors (e.g., factory, engineering design, and administration) of production process organizations in the environment of Computer Integrated Manufacturing (CIM). The objective is to improve the efficiency in handling various types of messages, e.g., control signals, sensor data and production orders, by on-line adjustment of the parameters of the network protocol. This paper presents conceptual design, development, and implementation of a performance management procedure for CIM applications. The performance management algorithm is formulated using the concepts of: (i) perturbation analysis of discrete event dynamic systems; (ii) stochastic approximation; and (iii) learning automata. The performance management procedure has been tested via emulation on a network testbed that is based on the Manufacturing Automation Protocol (MAP). The conceptual design presented in this paper offers a step forward to bridging the gap between management standards and users' demands for efficient network operations since most standards such as ISO and IEEE address only the architecture, services, and interfaces for network management. The proposed concept for performance management can also be used as a general framework to assist design, operation, and management of flexible manufacturing systems.

    UR - http://www.scopus.com/inward/record.url?scp=84951658821&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84951658821&partnerID=8YFLogxK

    U2 - 10.1007/BF02953626

    DO - 10.1007/BF02953626

    M3 - Article

    VL - 9

    SP - 269

    EP - 285

    JO - KSME Journal

    JF - KSME Journal

    SN - 1738-494X

    IS - 3

    ER -