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Genetics and intelligence: new approaches in production engineering

TLDR
This paper presents the techniques and methods that enable this new approach in production engineering by transferring biological principles from the field of genetics into the manufacturing environment.
Abstract
Parts which inherently store data about their fabrication and find their own way through the production, or, machine components that autonomously monitor themselves and arrange inspections as required may still sound like a vision of the future. Nonetheless, in the Collaborative Research Centre 653 ‘Gentelligent Components in their Lifecycle—Utilisation of Inheritable Component Information in Production Engineering’ they will soon be a reality. Transferring characteristics that are similar to those found in nature to industrial production will lead to a paradigm shift in the development and manufacturing of prospective components. This paper presents the techniques and methods that enable this new approach in production engineering by transferring biological principles from the field of genetics into the manufacturing environment.

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Citations
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Towards a Characterisation of Smart Systems: A Systematic Literature Review

TL;DR: A Systematic Literature Review is performed aiming at gathering papers including definitions of Smart Systems, regardless of the application domain and a diagrammatic view of the elements of a Smart System and their relationships through a meta-model is provided.
Journal ArticleDOI

Self-optimizing machining systems

TL;DR: Enabling technologies, principles, and methods are described that allow for the implementation of machining systems which are capable of adapting their parameters and settings autonomously, in order to optimize for productivity, quality, and efficiency in manufacturing.
Journal ArticleDOI

An autonomous manufacturing system based on swarm of cognitive agents

TL;DR: In this paper, an Autonomous Manufacturing System based on Swarm of Cognitive Agents (AMS-SCA) is proposed to adapt to the disturbances in the manufacturing system, where work pieces, machines, robots, and transporters are controlled by the corresponding cognitive agents.
Journal ArticleDOI

Development and first applications of gentelligent components over their lifecycle

TL;DR: The following paper demonstrates the advances and advantages of gentelligent components and systems over their lifecycle in terms of component-inherent information storage or decentralized communication capabilities.
References
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Journal ArticleDOI

Changeable Manufacturing - Classification, Design and Operation

TL;DR: In this article, the main change drivers for a manufacturing en-terprise can be classified and operationalized, and the evaluation and economic justification of changeability are addressed and a control loop is presented.
Journal ArticleDOI

Flexible and reconfigurable manufacturing systems paradigms

TL;DR: Reconfigurable manufacturing systems (RMS) as discussed by the authors are a new manufacturing systems paradigm that aims at achieving cost-effective and rapid system changes, as needed and when needed, by incorporating principles of modularity, integrability, flexibility, scalability, convertibility, and diagnosability.
Journal ArticleDOI

Intelligent Products: A survey

TL;DR: The technical foundations in the areas of automatic identification and embedded processing, distributed information storage and processing, and agent-based systems are discussed, as well as the achievable practical goals in the contexts of manufacturing, supply chains, asset management, and product life cycle management.
Proceedings ArticleDOI

The intelligent product driven supply chain

TL;DR: It is demonstrated that by enabling intelligent products, Auto ID systems will be instrumental in driving future supply chains, and specific application areas for this technology in the product supply chain are identified.
Journal ArticleDOI

Intelligent products: a step towards a more effective project delivery chain

TL;DR: The paper presents a control system being built at Helsinki University of Technology, which is based on distributed programming, and wireless identification technologies, which enables the material flows in the project delivery chains to be controlled from the inside of the material flow itself.
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Genetics and intelligence: What's new?

The paper discusses the application of genetic principles in production engineering, leading to advancements in component development and manufacturing.