A JADE Environment for Product Driven Automation of Holonic Manufacturing

Răileanu, Silviu; Parlea, Mihai; Borangiu, Theodor; Stocklosa, Octavian

doi:10.1007/978-3-642-27449-7_20

Cited by 12 publications

(6 citation statements)

References 8 publications

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“…A different approach is the proactive mechanism, where the architectures execute normally until an event occurs (perturbation or evolution opportunity). At this moment, the architecture switches either to a predefined configuration according to the type of event (Raileanu et al 2012;Pach et al 2014;Borangiu et al 2015), or it executes a post-event process to adjust structure and/behaviour of the decisional entities (Böhnlein, Schweiger, and Tuma 2011;Herrera, Thomas, and Parada 2014;. With predefined configurations, the system has a pre-determined architecture with production strategies and control objectives tailored for using according to a specific event.…”

Section: Switching Mechanism In D-hcamentioning

confidence: 99%

Pollux: a dynamic hybrid control architecture for flexible job shop systems

Jiménez

Bekrar

Zambrano-Rey

et al. 2016

International Journal of Production Research

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Nowadays, manufacturing control systems can respond more effectively to exigent market requirements and real-time demands. Indeed, they take advantage of changing their structural and behavioural arrangements to tailor the control solution from a diverse set of feasible configurations. However, the challenge of this approach is to determine efficient mechanisms that dynamically optimise the configuration between different architectures. This paper presents a dynamic hybrid control architecture that integrates a switching mechanism to control changes at both structural and behavioural level. The switching mechanism is based on a genetic algorithm and strives to find the most suitable operating mode of the architecture with regard to optimality and reactivity. The proposed approach was tested in a real flexible job shop to demonstrate the applicability and efficiency of including an optimisation algorithm in the switching process of a dynamic hybrid control architecture.

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Section: Switching Mechanism In D-hcamentioning

confidence: 99%

Pollux: a dynamic hybrid control architecture for flexible job shop systems

Jiménez

Bekrar

Zambrano-Rey

et al. 2016

International Journal of Production Research

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“…In the second approach, a supervisor/coordinator activates the switching mechanism as it has a global view of the system (global detection in Figure 2). This supervisor monitors the system execution and/or system dynamic to activate the triggering (Raileanu et al 2012;Borangiu et al 2015). The advantage of this approach is that the detection might trigger structural and/or behavioural switching due the visibility of the entire system's behaviour.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, this approach does not demonstrate clear identification of the operating mode due to the difficulty of knowing in advance the expected configuration after switching. Characterised-based approaches ( Figure 2) define a unique composition of each operating mode to be used by the switching mechanism (Raileanu et al 2012;Borangiu et al 2015;Jimenez et al 2015b). This distinctiveness is interesting as it identifies the operating mode and allows the switching mechanism to choose from a variety of alternatives.…”

Section: Literature Reviewmentioning

confidence: 99%

A switching mechanism framework for optimal coupling of predictive scheduling and reactive control in manufacturing hybrid control architectures

Jiménez

Bekrar

Trentesaux

et al. 2016

International Journal of Production Research

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Nowadays, manufacturing systems are seeking control architectures that offer efficient production performance and reactivity to disruptive events. Dynamic hybrid control architectures are a promising approach as they are not only able to switch dynamically between hierarchical, heterarchical and semi-heterarchical structures, they can also switch the level of coupling between predictive scheduling and reactive control techniques. However, few approaches address an efficient switching process in terms of structure and coupling. This paper presents a switching mechanism framework in dynamic hybrid control architectures, which exploits the advantages of hierarchical manufacturing scheduling systems and heterarchical manufacturing execution systems, and also mitigates the respective reactivity and optimality drawbacks. The main feature in this framework is that it monitors the system dynamics online and shifts between different operating modes to attain the most suitable production control strategy. The experiments were carried out in an emulation of a real manufacturing system to illustrate the benefits of including a switching mechanism in simulated scenarios. The results show that the switching mechanism improves response to disruptions in a global performance indicator as it permits to select the best alternative from several operating modes.

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“…So, the selforganization arrangements might be applied to conduct rules, coordination guidelines, entities roles or monitoring strategies, among others. In (Raileanu et al , 2012), the authors present a switching mechanism that exploits three different production strategies used during manufacturing execution. Basically, each strategy, with its own objective and perturbation avoidance, manages differently certain shopfloor events.…”

Section: Literature Reviewmentioning

confidence: 99%

Governance mechanism in control architectures for flexible manufacturing systems

Jiménez¹,

Bekrar²,

Trentesaux³

et al. 2015

IFAC-PapersOnLine

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Manufacturing systems, and specifically Flexible Manufacturing Systems (FMS), face the challenge of accomplish global optimal performance and reactiveness at dynamic manufacturing environments. For this reason, manufacturing control systems must incorporate mechanisms that support dynamic custom-build responses. This paper introduces a framework that includes a governance mechanism in control system architectures that dynamically steers the autonomy of decision-making between predictive and reactive approaches. Results from experiments led in simulation show that it is worth studying in depth a governance mechanism that tailors the structure and/or behaviour of a manufacturing control system and, at the same time, potentiate the reactivity required in manufacturing operations.

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A JADE Environment for Product Driven Automation of Holonic Manufacturing

Cited by 12 publications

References 8 publications

Pollux: a dynamic hybrid control architecture for flexible job shop systems

Pollux: a dynamic hybrid control architecture for flexible job shop systems

A switching mechanism framework for optimal coupling of predictive scheduling and reactive control in manufacturing hybrid control architectures

Governance mechanism in control architectures for flexible manufacturing systems

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