Production Plan-Driven Flexible Assembly Automation Architecture

Zoitl, Alois; Kainz, Gerd; Keddis, Nadine

doi:10.1007/978-3-642-40090-2_5

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…Moreover, Zoitl et al chose the interesting approach of minimizing the programming effort by generating the machine programs from a production plan [14]. This is alike to our method where we modularize and encapsulate functionality to make it attachable to production plans directly.…”

Section: Related Workmentioning

confidence: 99%

Collaborative and robot-based plug & produce for rapid reconfiguration of modular production systems

Wojtynek

Oestreich

Beyer³

et al. 2017

2017 IEEE/SICE International Symposium on System Integration (SII)

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The manufacturing of individualized products down to batch size 1 poses ongoing challenges for the design and integration of future production systems. Today's production lines with a high degree of automation achieve high efficiency, but usually come with high costs for adaptation to product variants. In order to combine full automation with high flexibility, we propose a concept for the dynamic composition of automation components in a modular production system that facilitates the rapid adaptation of collaborative and robotsupported manufacturing processes. To achieve this, we integrate self-descriptive automation components at runtime into the control architecture of the production system using a Plugand-Produce approach. While the location and orientation of automation components in the modular production system are derived from physical human-robot interaction, the adaptation and verification of the robot behavior is made possible through a simulation-based planning subsystem. Once this dynamic reconfiguration process by the machine setter is finished, the adapted production process is executed in a fully automated way with high efficiency. A case study carried out in an industrial collaboration project on flexible assembly demonstrates the benefits of the presented approach.

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Section: Related Workmentioning

confidence: 99%

Collaborative and robot-based plug & produce for rapid reconfiguration of modular production systems

Wojtynek

Oestreich

Beyer³

et al. 2017

2017 IEEE/SICE International Symposium on System Integration (SII)

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“…Production resources in this context refer to hardware entities that can execute production steps and are called resources throughout this paper. Resources have to provide predefined interfaces that give access to available control code implementations to execute actions (Zoitl et al, 2013). Additionally, the approach is based on models of resource capabilities and material flows.…”

Section: Introductionmentioning

confidence: 99%

Product-Driven Generation of Action Sequences for Adaptable Manufacturing Systems

2015

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In times of fast changing markets and short product life-cycles manufacturing systems have to be adaptable and able to support a variety in products and product volumes. Production has to be product-driven and switching between different products should be possible with little manual intervention. We suggest an action sequence generation approach that tailors the control programs of resources to product needs. The approach requires a model of the available resources with their capabilities and internal material flow, the material flow between resources as well as a product description. An action sequence can then be generated out of these models and later translated into an executable action sequence. The action sequence can be automatically downloaded and executed on a resource. The approach is evaluated on an educational production system with industrial components.

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“…These action sequences are translated into executable action sequences that can be downloaded to the resources and executed. Resources have to provide predefined interfaces that give access to available control code implementations to execute actions (Zoitl et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Adaptable Capability-Based Planning

2015

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Future manufacturing systems are required to be adaptable and to quickly react on changes in markets and demands. There is a shift towards mass customization. Therefore, future manufacturing systems must be able to support individualized products that are tailored to customer needs. The switch between different products should involve little manual intervention. In this paper, the issues that need to be resolved to achieve adaptability in production planning are highlighted and ideas for solutions are presented. A detailed approach for the question of automatically generating action sequences is presented here. It is based on a capability model of the resources and their material flow. We also suggest decoupling product descriptions from factories and planning adaptably based on pre-defined product descriptions and factory setups. Action sequences can then be generated out of these models and later translated into executable action sequences. The action sequence can be automatically downloaded and executed on a resource. The presented approach is evaluated on an educational production system with industrial components. Issues and future research directions are illustrated as well.

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Production Plan-Driven Flexible Assembly Automation Architecture

Cited by 7 publications

References 7 publications

Collaborative and robot-based plug & produce for rapid reconfiguration of modular production systems

Collaborative and robot-based plug & produce for rapid reconfiguration of modular production systems

Product-Driven Generation of Action Sequences for Adaptable Manufacturing Systems

Adaptable Capability-Based Planning

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