Self-organization in distributed manufacturing control: state-of-the-art and future trends

Facing new and varied customer's needs, strategies of production have radically changed during these list three decades leading to a need for agile and, as a consequence, self-organized manufacturing control systems. One possible way to integrate self-organization capability is to move from rigid centralized architectures towards distributed architectures. In this paper, we present a state-of-the-art of self-organization models in distributed manufacturing control, according to the bionic, holonic, multi-agent and heterarchical design approaches. We show the potential capabilities offered by these approaches to integrate self-organization mechanisms. Meanwhile, we also point out the insufficiencies of existing contributions, which lead us to highlight some future trends in the design of effective self-organized manufacturing control systems.

[1]  Luc Bongaerts,et al.  Programming, scheduling, and control of flexible assembly systems , 1994 .

[2]  Hendrik Van Brussel,et al.  Pheromone based emergent shop floor control system for flexible flow shops , 1999, Artif. Intell. Eng..

[3]  N. A. Duffie Heterarchical control of highly distributed manufacturing systems , 1996 .

[4]  Guan-Chun Luh,et al.  Behavior-based intelligent mobile robot using an immunized reinforcement adaptive learning mechanism , 2002, Adv. Eng. Informatics.

[5]  Neil A. Duffie,et al.  Real-time distributed scheduling of heterarchical manufacturing systems , 1994 .

[6]  A. Tharumarajah,et al.  Approaches and issues in scheduling a distributed shop-floor environment , 1997 .

[7]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[8]  A. Tharumarajah,et al.  Survey of resource allocation methods for distributed manufacturing systems , 2001 .

[9]  Albert D. Baker,et al.  A survey of factory control algorithms that can be implemented in a multi-agent heterarchy: Dispatching, scheduling, and pull , 1998 .

[10]  Pierre Massotte,et al.  Future production systems: Influence of self-organization on approaches to quality engineering , 2000 .

[11]  K. Ueda,et al.  Factory animation by self-organization principles , 1997, Proceedings. International Conference on Virtual Systems and MultiMedia VSMM '97 (Cat. No.97TB100182).

[12]  T. Nishikawa,et al.  Nonlinear phenomena in a self-organizing model , 1997 .

[13]  A. Ferrarini,et al.  A new decentralized approach for FMS control , 1993, 1993 CompEuro Proceedings Computers in Design, Manufacturing, and Production.

[14]  Vincent Patriti Systèmes de pilotage auto-organisés et gammes distribuées : méthode de conception et application à une machine-outil , 1998 .

[15]  Milan Straškraba Natural control mechanisms in models of aquatic ecosystems , 2001 .

[16]  A. Tharumarajah,et al.  Comparison of the bionic, fractal and holonic manufacturing system concepts , 1996 .

[17]  Klaus-Dieter Thoben,et al.  A conceptual system support framework for distributed product development and manufacturing , 1996 .

[18]  H. Van Dyke Parunak,et al.  Entropy and self-organization in multi-agent systems , 2001, AGENTS '01.

[19]  Neil A. Duffie,et al.  Fault-tolerant heterarchical control of heterogeneous manufacturing system entities , 1988 .

[20]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[21]  John A. Mathews Organizational foundations of intelligent manufacturing systems — the holonic viewpoint , 1995 .

[22]  Douglas H. Norrie,et al.  Fault recovery in distributed manufacturing systems by emergent holonic re-configuration: A fuzzy multi-agent modeling , 2000, Inf. Sci..

[23]  Botond Kádár,et al.  Hierarchy in distributed shop floor control , 2000 .

[24]  Angappa Gunasekaran,et al.  Agile manufacturing: A framework for research and development , 1999 .

[25]  David Naso,et al.  Evolutionary adaptation of dispatching agents in heterarchical manufacturing systems , 2001 .

[26]  Miran Brezocnik,et al.  A genetic-based approach to simulation of self-organizing assembly , 2001 .

[27]  Damien Trentesaux,et al.  Hybrid production control approach for JIT scheduling , 1998, Artif. Intell. Eng..

[28]  Ambalavanar Tharumarajah A Self-organizing Model for Scheduling Distributed Autonomous Manufacturing Systems , 1998, Cybern. Syst..

[29]  Kanji Ueda,et al.  Biological concept of self-organization for dynamic shop-floor configuration , 1996, APMS.