An object-oriented simulation framework for real-time control of automated flexible manufacturing systems

Yalçin, Ali; Namballa, R.K.

doi:10.1016/j.cie.2004.07.010

Cited by 21 publications

(10 citation statements)

References 10 publications

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“…In various industries there are already many simulation approaches (Dangelmaier et al 2006, Kapp et al 2005, Mönch 2007, Yalcin and Namballa 2004 of networked production systems even in digital factory environments (Bley et al 2005, Schloegl 2005, Wenzel et al 2005. So what is especial in print production networks.…”

Section: Introductionmentioning

confidence: 97%

Advanced modeling of networked print production by use of XML-based job definition and job messaging communication

Kuehn¹

2008

2008 Winter Simulation Conference

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Networked production gains increasing importance in many industries. In print media industries networked production requires advanced print and media specific job definitions and the communication of job relevant information along the complete production chain. The relatively young XML based communication standard JDF/JMF allows to specify workflow models and data exchange. Based on an object-oriented approach a simulation and modeling framework is proposed, which implements modules for the resources and controls applied in this particular industry. For this framework the available JavaSim-simulation library shall be extended to enable modeling of networked print production using the same JDF-/JMF-communication algorithms as applied in realworld system communication. This leads towards integration of simulation for factory planning and operative planning and control of networked print production in a digital factory environment.

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Section: Introductionmentioning

confidence: 97%

Advanced modeling of networked print production by use of XML-based job definition and job messaging communication

Kuehn¹

2008

2008 Winter Simulation Conference

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“…Recently, modern information technology has been increasingly and extensively applied to AMSs research. On the basis of the up-to-date technology in information science and engineering, researchers addressed a number of issues regarding modeling, simulation, control, and scheduling for AMSs (Ahmad et al, 2011;Choi & Ko, 2009;Ferrarini & Piroddi, 2008;Hsueh, 2010;Huang, Shi, & Xu, 2012;Huang et al, 2013;Jeng et al, 2002;Roszkowska & Reveliotis, 2013;Wang & Wu, 1998;Wu et al, 2008;Xing et al, 2012;Yalcin & Namballa, 2005). As a consequence, this field develops rapidly, and manufacturers can benefit much in reducing cost, increasing productivity, and improving products' quality so as to meet the global market competition.…”

Section: Introductionmentioning

confidence: 98%

Robust supervision using shared-buffers in automated manufacturing systems with unreliable resources

Hao

Xing

et al. 2015

Computers & Industrial Engineering

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“…Brandin (1996) presents the development of a supervisory control system for an experimental manufacturing cell; and the automata models for the complete cell are provided together with the corresponding supervisor. Yalcin (2004) and Yalcin and Namballa (2005) discuss the issue of resource failures in automated flexible manufacturing cells. The failures both during processing and in the idle mode are considered, and systematic procedures are described to re-configure the supervisor to continue operation of the system.…”

Section: Introductionmentioning

confidence: 99%

“…The failures both during processing and in the idle mode are considered, and systematic procedures are described to re-configure the supervisor to continue operation of the system. The described supervisory controller based on finite automata formalism accommodates the resource failures (Yalcin 2004, Yalcin andNamballa 2005).…”

Section: Introductionmentioning

confidence: 99%

A new approach to modelling, control and simulation of knowledgeable manufacturing cell

Yan

Dong

2007

International Journal of Production Research

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The running of the knowledgeable manufacturing cell (KMC) is a typical discrete event dynamic process. Methods used to model and analyse discrete event dynamic systems (DEDS) include Petri net and automata theory. In this paper, a new matrix-automaton is proposed to model the KMC and solve the task control problems existing in the KMC. The automaton is of structured property and can be used to analyse the dynamic performance of the KMC. Stochastic dynamic programming is used to derive the optimal task control strategy of the automaton, and a simulation method and program are proposed to simulate the running of the KMC. The matrix-automaton model of an experimental KMC including m manufacturing agents and n classes of workpieces is built and solved by the methods in this paper. Compared with the random control principle, the objective function value of the control strategy in this paper is obviously lower, which testifies the validity and feasibility of the control strategy.

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An object-oriented simulation framework for real-time control of automated flexible manufacturing systems

Cited by 21 publications

References 10 publications

Advanced modeling of networked print production by use of XML-based job definition and job messaging communication

Advanced modeling of networked print production by use of XML-based job definition and job messaging communication

Robust supervision using shared-buffers in automated manufacturing systems with unreliable resources

A new approach to modelling, control and simulation of knowledgeable manufacturing cell

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