NDLI: Degeneracy and networked buffering: principles for supporting emergent evolvability in agile manufacturing systems

Content Provider	Springer Nature Link
Author	Frei, Regina Whitacre, James
Copyright Year	2011
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.
Starting Page	417
Ending Page	430
Page Count	14
File Format	PDF
ISSN	15677818
Journal	Natural Computing
Volume Number	11
Issue Number	3
e-ISSN	15729796
Language	English
Publisher	Springer Netherlands
Publisher Date	2011-11-05
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Networked buffering Degeneracy Agile manufacturing Assembly systems Robotics Multi-agent systems Complexity Evolvability Evolutionary Biology Statistical Physics, Dynamical Systems and Complexity Processor Architectures Artificial Intelligence (incl. Robotics) Theory of Computation
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications

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