Degeneracy and networked buffering: principles for supporting emergent evolvability in agile manufacturing systems
Degeneracy and networked buffering: principles for supporting emergent evolvability in agile manufacturing systems
This article introduces new principles for improving upon the design and implementation of agile manufacturing and assembly systems. It focuses particularly on challenges that arise when dealing with novel conditions and the associated requirements of system evolvability, e.g. seamless reconfigurability to cope with changing production orders, robustness to failures and disturbances, and modifiable user-centric interfaces. Because novelty in manufacturing or the marketplace is only predictable to a limited degree, the flexible mechanisms that will permit a system to adequately respond to novelty cannot be entirely pre-specified. As a solution to this challenge, we propose how evolvability can become a pervasive property of the assembly system that, while constrained by the system’s historical development and domain-specific requirements, can emerge and re-emerge without foresight or planning. We first describe an important mechanism by which biological systems can cope with uncertainty through properties described as degeneracy and networked buffering. We discuss what degeneracy means, how it supports a system facing unexpected challenges, and we review evidence from simulations using evolutionary algorithms that support some of our conjectures in models with similarities to several assembly system contexts. Finally, we discuss potential design strategies for encouraging emergent changeability in assembly systems. We also discuss practical challenges to the realization of these concepts within a systems engineering context, especially issues related to system transparency, design costs, and efficiency. We discuss how some of these difficulties can be overcome while also elaborating on those factors that are likely to limit the applicability of these principles.
417-430
Frei, Regina
fa00170f-356a-4a0d-8030-d137fd855880
Whitacre, James
afcd3d6a-c9a7-4f40-8c1c-952b0b49e7da
1 September 2012
Frei, Regina
fa00170f-356a-4a0d-8030-d137fd855880
Whitacre, James
afcd3d6a-c9a7-4f40-8c1c-952b0b49e7da
Frei, Regina and Whitacre, James
(2012)
Degeneracy and networked buffering: principles for supporting emergent evolvability in agile manufacturing systems.
Natural Computing, 11 (3), .
(doi:10.1007/s11047-011-9295-4).
Abstract
This article introduces new principles for improving upon the design and implementation of agile manufacturing and assembly systems. It focuses particularly on challenges that arise when dealing with novel conditions and the associated requirements of system evolvability, e.g. seamless reconfigurability to cope with changing production orders, robustness to failures and disturbances, and modifiable user-centric interfaces. Because novelty in manufacturing or the marketplace is only predictable to a limited degree, the flexible mechanisms that will permit a system to adequately respond to novelty cannot be entirely pre-specified. As a solution to this challenge, we propose how evolvability can become a pervasive property of the assembly system that, while constrained by the system’s historical development and domain-specific requirements, can emerge and re-emerge without foresight or planning. We first describe an important mechanism by which biological systems can cope with uncertainty through properties described as degeneracy and networked buffering. We discuss what degeneracy means, how it supports a system facing unexpected challenges, and we review evidence from simulations using evolutionary algorithms that support some of our conjectures in models with similarities to several assembly system contexts. Finally, we discuss potential design strategies for encouraging emergent changeability in assembly systems. We also discuss practical challenges to the realization of these concepts within a systems engineering context, especially issues related to system transparency, design costs, and efficiency. We discuss how some of these difficulties can be overcome while also elaborating on those factors that are likely to limit the applicability of these principles.
This record has no associated files available for download.
More information
e-pub ahead of print date: 5 November 2011
Published date: 1 September 2012
Identifiers
Local EPrints ID: 433041
URI: http://eprints.soton.ac.uk/id/eprint/433041
ISSN: 1567-7818
PURE UUID: 4602559a-66eb-4e6a-836d-33c8e543bdf0
Catalogue record
Date deposited: 07 Aug 2019 16:30
Last modified: 16 Mar 2024 04:40
Export record
Altmetrics
Contributors
Author:
Regina Frei
Author:
James Whitacre
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics