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Automated Manufacturing

The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform

C. Wongladkown – 1st expert on this subject based on the ideXlab platform

  • A real-time control simulator design for Automated Manufacturing systems using Petri nets
    Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991
    Co-Authors: Y. Chen, C. Wongladkown

    Abstract:

    A real-time control simulator for Automated Manufacturing systems is developed using a Petri net approach. This software provides an intuitive design tool with graphical orientation and convenient debugging capability for modeling and control of Automated Manufacturing systems. The complex interactions among control, communication, and database functions in a Manufacturing environment can also be addressed by using a Petri net model. The performance of the system can be easily evaluated by the developed software through computer simulation and real-time implementation. By choosing a proper firing time, the efficiency of the operation of a Manufacturing system can be improved. A laboratory prototype Automated Manufacturing system is used as an example to illustrate the applicability and novelty of the software design.

  • ICRA – A real-time control simulator design for Automated Manufacturing systems using Petri nets
    Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991
    Co-Authors: Y. Chen, C. Wongladkown

    Abstract:

    A real-time control simulator for Automated Manufacturing systems is developed using a Petri net approach. This software provides an intuitive design tool with graphical orientation and convenient debugging capability for modeling and control of Automated Manufacturing systems. The complex interactions among control, communication, and database functions in a Manufacturing environment can also be addressed by using a Petri net model. The performance of the system can be easily evaluated by the developed software through computer simulation and real-time implementation. By choosing a proper firing time, the efficiency of the operation of a Manufacturing system can be improved. A laboratory prototype Automated Manufacturing system is used as an example to illustrate the applicability and novelty of the software design. >

Mengchu Zhou – 2nd expert on this subject based on the ideXlab platform

  • Robust deadlock control for Automated Manufacturing systems with a single type of unreliable resources
    Advances in Mechanical Engineering, 2018
    Co-Authors: Yunchao Wu, Mengchu Zhou, Keyi Xing, Yanxiang Feng

    Abstract:

    In Automated Manufacturing systems, resource failures are often inevitable. They reduce the number of available resources and may cause some processing routes of parts to halt and sometimes the whole system to shutdown. This article focuses on the robust deadlock control problem in Automated Manufacturing systems with multiple resource failures. To obtain such a robust controller, we first put forward a new concept of blocked states of Automated Manufacturing systems. From such a state, the production of some part types through one of their routes is blocked as caused by resource failures, and only after some failed resources are repaired, these parts can resume their normal processing. Then, these blocked states are characterized in terms of emptied siphons caused by resource failures. In order to prevent the system from deadlocks and blocked states, a robust controller is proposed by the following two steps. First, for siphons without unreliable resources, optimal deadlock control places are added. Then…

  • deadlock control methods in Automated Manufacturing systems
    Systems Man and Cybernetics, 2004
    Co-Authors: Maria Pia Fanti, Mengchu Zhou

    Abstract:

    As more and more producers move to use flexible and agile Manufacturing as a way to keep them with a competitive edge, the investigations on deadlock resolution in Automated Manufacturing have received significant attention for a decade. Deadlock and related blocking phenomena often lead to catastrophic results in Automated Manufacturing systems. Their efficient handling becomes a necessary condition for a system to gain high productivity. This paper intends to present a tutorial survey of state-of-the art modeling and deadlock control methods for discrete Manufacturing systems. It presents the updated results in the areas of deadlock prevention, detection and recovery, and avoidance. It focuses on three modeling methods: digraphs, automata, and Petri nets. Moreover, for each approach, the main and relevant contributions are selected enlightening pros and cons. The paper concludes with the future research needs in this important area in order to bridge the gap between the academic research and industrial needs.

  • Petri net approaches to deadlock modeling and resolution in Automated Manufacturing
    IEEE International Conference on Systems Man and Cybernetics, 2002
    Co-Authors: Maria Pia Fanti, Mengchu Zhou

    Abstract:

    As more and more producers move to use flexible and agile Manufacturing as a way to keep them in a competitive edge, the investigations on deadlock resolution in Automated Manufacturing have received much attention for a decade. Deadlock and related blocking phenomena often lead to catastrophic results in Automated Manufacturing systems (AMS). Their efficient handling becomes a necessary condition for a system to gain high productivity. This paper presents a comprehensive survey of deadlock control methods for AMS in a framework of Petri nets (PN). It recalls the updated results in the areas of deadlock prevention, detection and recovery, and avoidance.

Sanjay Joshi – 3rd expert on this subject based on the ideXlab platform

  • deterministic finite capacity automata a solution to reduce the complexity of modeling and control of Automated Manufacturing systems
    International Conference on Control Applications, 1996
    Co-Authors: Sanjay Joshi

    Abstract:

    The solution complexity of a synthesized control model of an Automated Manufacturing system grows exponentially in the number of constituent components in the system (Ho, 1992), thus resulting in the control model being either theoretically untractable in computation (Ramadge, 1989) or practically unfeasible in implementation. By taking advantage of both Petri nets and supervisory control theory, this paper presents a new methodology, called deterministic finite capacity automaton, which when used to model the control of an Automated Manufacturing system can significantly reduce model complexity. By taking into account the nature of Manufacturing automation and combining the technology advances in multiprocessing systems, an automaton-based control model capable of running coordinated computing processes is defined. An adjustable language is introduced into the control model, to make it function more efficiently.

  • deadlock free schedules for Automated Manufacturing workstations
    International Conference on Robotics and Automation, 1996
    Co-Authors: S Ramaswamy, Sanjay Joshi

    Abstract:

    Scheduling Automated, unmanned Manufacturing systems is significantly different from traditional job shops where human presence is implicitly assumed. Deadlocking has been identified as one of the critical problem in the control of Automated Manufacturing systems. Past approaches have been myopic in the sense that deadlock avoidance and recovery have been treated as run time problems of the system. In this paper, formulations for deadlock-free schedules are proposed and the importance of considering both material handling and buffer space availability while scheduling such an Automated workstation are discussed. Extensions to the basic model and solution methods are also presented.

  • ICRA – Deadlock avoidance in Automated Manufacturing workstations-a scheduling approach
    Proceedings of the 1994 IEEE International Conference on Robotics and Automation, 1994
    Co-Authors: S.e. Ramaswamy, Sanjay Joshi

    Abstract:

    Scheduling Automated, unmanned Manufacturing systems is significantly different from traditional job shops where human presence is implicitly assumed. Deadlocking has been identified as one of the critical problem in the control of Automated Manufacturing systems. In this paper, formulations for deadlock-free schedules are proposed and the importance of considering both material handling and buffer space availability while scheduling such an Automated workstation are discussed. >