Characterization of an agile bio-inspired shop-floor

Dias-Ferreira, João; Ribeiro, Luís; Akillioglu, Hakan; Neves, Pedro; Maffei, Antonio; Onori, Mauro

doi:10.1109/indin.2014.6945547

Cited by 3 publications

(2 citation statements)

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“…In this way, if the attraction radius is precisely defined and the RSs are methodically deployed, so that the attractiveness areas encompasses the adjacent RSs respecting the PT flows [as depicted in Fig. 4)], then the performance of the system should be "optimal" (considering BIOSOARM and the instantiated system), as demonstrated in Dias-Ferreira et al (2014).…”

Section: Deployment Methodologymentioning

confidence: 99%

BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors

et al. 2016

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Biological collective systems have been an important source of inspiration for the design of production systems, due to their intrinsic characteristics. In this sense, several high level engineering design principles have been distilled and proposed on a wide number of reference system architectures for production systems. However, the application of bio-inspired concepts is often lost due to design and implementation choices or are simply used as heuristic approaches that solve specific hard optimization problems. This paper proposes a bio-inspired reference architecture for production systems, focused on highly dynamic environments, denominated BIO-inspired Self-Organising Architecture for Manufacturing (BIOSOARM). BIOSOARM aims to strictly adhere to bio-inspired principles. For this purpose, both shopfloor components and product parts are individualized and extended into the virtual environment as fully decoupled autonomous entities, where they interact and cooperate towards the emergence of a self-organising behaviour that leads to the emergence of the necessary production flows. BIOSOARM therefore introduces a fundamentally novel approach to production that decouples the system’s operation from eventual changes, uncertainty or even critical failures, while simultaneously ensures the performance levels and simplifies the deployment and reconfiguration procedures. BIOSOARM was tested into both flow-line and “job shop”-like scenarios to prove its applicability, robustness and performance, both under normal and highly dynamic conditions

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Section: Deployment Methodologymentioning

confidence: 99%

BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors

et al. 2016

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“…As mentioned earlier, this research work is carried out within the EPS context (Ferreira et al , 2014; Onori et al , 2012) in which precisely selected assembly processes are to be derived from features extracted from the product design. The desire to more closely link the assembly process to the design phase is self-evident, and this endeavor focuses on how to improve and simplify process planning by determining which features will define the ensuing process, their subdivision into classes depending on targeted process, and their final extraction.…”

Section: Introductionmentioning

confidence: 99%

Object-oriented design of product assembly feature data requirements in advanced assembly planning

Khabbazi

Wikander

Onori

et al. 2018

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Purpose This paper introduces a schema for the product assembly feature data in an object-oriented and module-based format using Unified Modeling Language (UML). To link production with product design, it is essential to determine at an early stage which entities of product design and development are involved and used at the automated assembly planning and operations. To this end, it is absolutely reasonable to assign meaningful attributes to the parts’ design entities (assembly features) in a systematic and structured way. As such, this approach empowers processes such as motion planning and sequence planning in assembly design. Design/methodology/approach The assembly feature data requirements are studied and definitions are analyzed and redefined. Using object-oriented techniques, the assembly feature data structure and relationships are modeled based on the identified requirements as five UML packages (Part, three-dimensional (3D) models, Mating, Joint and Handling). All geometric and non-geometric design data entities endorsed with assembly design perspective are extracted or assigned from 3D models and realized through the featured entity interface class. The featured entities are then associated (used) with the mating, handling and joints features. The AssemblyFeature interface is realized through mating, handling and joint packages related to the assembly and part classes. Each package contains all relevant classes which further classify the important attributes of the main class. Findings This paper sets out to provide an explanatory approach using object-oriented techniques to model the schema of assembly features association and artifacts at the product design level, all of which are essential in several subsequent and parallel steps of the assembly planning process, as well as assembly feature entity assignments in design improvement cycle. Practical implications The practical implication based on the identified advantages can be classified in three main features: module-based design, comprehensive classification, integration. These features help the automation and solution development processes based on the proposed models much easier and systematic. Originality/value The proposed schema’s comprehensiveness and reliability are verified through comparisons with other works and the advantages are discussed in detail.

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Enhancing a Biological inspired Self-organized Architecture towards Smart Manufacturing

Estrada-Jimenez

Pulikottil

Kalateh

et al. 2022

2022 IEEE International Conference on Industrial Technology (ICIT)

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Characterization of an agile bio-inspired shop-floor

Cited by 3 publications

References 18 publications

BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors

BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors

Object-oriented design of product assembly feature data requirements in advanced assembly planning

Enhancing a Biological inspired Self-organized Architecture towards Smart Manufacturing

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