Skill Modeling in Cyber-Physical Production Systems for Process Monitoring

Gonnermann, Clemens; Weth, Johannes; Reinhart, Gunther

doi:10.1016/j.procir.2020.03.095

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…Production capabilities are also called skills in the literature. For example, taxonomies of sensorial skills for assembly lines are analysed by [17]. A definition of skills as an extension of the productprocess-resource concept is presented by [29].…”

Section: Background and Related Workmentioning

confidence: 99%

An integrated data- and capability-driven approach to the reconfiguration of agent-based production systems

Scrimieri

Adalat

Afazov

et al. 2022

Int J Adv Manuf Technol

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Industry 4.0 promotes highly automated mechanisms for setting up and operating flexible manufacturing systems, using distributed control and data-driven machine intelligence. This paper presents an approach to reconfiguring distributed production systems based on complex product requirements, combining the capabilities of the available production resources. A method for both checking the “realisability” of a product by matching required operations and capabilities, and adapting resources is introduced. The reconfiguration is handled by a multi-agent system, which reflects the distributed nature of the production system and provides an intelligent interface to the user. This is all integrated with a self-adaptation technique for learning how to improve the performance of the production system as part of a reconfiguration. This technique is based on a machine learning algorithm that generalises from past experience on adjustments. The mechanisms of the proposed approach have been evaluated on a distributed robotic manufacturing system, demonstrating their efficacy. Nevertheless, the approach is general and it can be applied to other scenarios.

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Section: Background and Related Workmentioning

confidence: 99%

An integrated data- and capability-driven approach to the reconfiguration of agent-based production systems

Scrimieri

Adalat

Afazov

et al. 2022

Int J Adv Manuf Technol

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show abstract

“…They focus on skills in assembly so that an existing production system is able to offer these skills for the assembly and thereby satisfy product requirements. [30] build upon this approach and defined skills that are relevant for monitoring processes in assembly. The results of these studies [29,30] make it possible to generate a skill model of an existing assembly system by focusing on actorial and sensorial functionalities.…”

Section: Automated Process Planningmentioning

confidence: 99%

“…[30] build upon this approach and defined skills that are relevant for monitoring processes in assembly. The results of these studies [29,30] make it possible to generate a skill model of an existing assembly system by focusing on actorial and sensorial functionalities. The combination of skills has also been presented in these papers.…”

Section: Automated Process Planningmentioning

confidence: 99%

“…Different topological entities are found, for example, solids and faces. Skill parameters [30], standard components (fasteners, such as DIN 912 for screws and DIN 934 for nuts), and standards related to connection (such as DIN 13-1 for ISO threads) are stored in the parameter template subsystem, describing requirements of processes (e.g., templates for assembly processes). According to the classification of joining processes from DIN 8593-0, each parameter template stores the specifications for a specific assembly process.…”

Section: Generation Of Process Monitoring Alternatives For Existing A...mentioning

confidence: 99%

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A skill- and feature-based approach to planning process monitoring in assembly planning

Gonnermann

Hashemi-Petroodi

Thevenin

et al. 2022

Int J Adv Manuf Technol

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Frequent changes in customer needs and large product variety are forcing manufacturing companies to move from mass production to mass customization. Customized production can be achieved by introducing reconfigurable production systems (RMS). The customized flexibility and several characteristics of RMSs provide many opportunities in terms of process and production planning. However, those characteristics greatly increase the complexity of the design and planning of production systems. This paper presents a decision support system relying on a skill-based approach to design a reconfigurable assembly line considering the planning of assembly processes and monitoring. The proposed decision aid system is modular in design and is composed of four modules. The main input data is a CAD model of a new product variant for the identification of the assembly and monitoring requirements. Besides, a current assembly system layout with its resource descriptions exists. In the first developed module, assembly-by-disassembly and a skill-based approach are used to generate different assembly plans. In the second module, feature recognition and skill-based approaches generate process monitoring alternatives. The third module uses a linear program (LP) that aims to minimize the total cost of workstation activation and reconfiguration, as well as cycle time, and to maximize the process quality of the assembly tasks. A user-based generative model design approach is applied to optimize the values of three objective functions. In the fourth and final module, a simulation of the optimized assembly plan allows either the validation of the assembly plan and process monitoring plan or initiates a new iteration due to their infeasibility. To further demonstrate how the proposed methodology works, some computational experiments are provided for two use cases.

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Optimization-based estimation of the execution time of a robotic assembly task sequence

Saeed,

Demasure,

Aghezzaf

et al. 2024

Int J Adv Manuf Technol

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Skill Modeling in Cyber-Physical Production Systems for Process Monitoring

Cited by 8 publications

References 18 publications

An integrated data- and capability-driven approach to the reconfiguration of agent-based production systems

An integrated data- and capability-driven approach to the reconfiguration of agent-based production systems

A skill- and feature-based approach to planning process monitoring in assembly planning

Optimization-based estimation of the execution time of a robotic assembly task sequence

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