Wireless Holon Network for job shop isoarchic control

This paper highlights that new forms of decisional intelligence could be deployed in production system control.Wireless Holon Network is presented, combining holonic and isoarchic control with wireless sensor network technology.Behavior and decision making models of the various holons types are described through Discrete EVent System specification formalism.An application to the internal logistics of a job shop is presented.A discussion on organizational implications of the operationalization of the proposed control is conducted. This work introduces a novel perspective in the field of Holonic Manufacturing Systems, based on wireless intelligent control of production systems. The presented control approach uses isoarchic control architecture and considers wireless sensor network technology as support for its implementation. A wireless holon network (WHN) is thus proposed. WHN is an instance of CPPS (Cyber-physical production systems). This allows decision-making capacities to each physical entity of the production system constituting a set of holons. These holons are connected entities of three types (Product, Resource or Order), that interact to bring out a collective intelligence. The formal models of the various holons are described as well as their exploitation via the wireless sensor network technology. An application to the internal logistics of a job shop is presented. A discussion focuses on organizational changes resulting from the exploitation of a WHN to highlight organizational implications of the operationalization of the proposed approach.

[1]  Shreyas Sundaram,et al.  The Wireless Control Network: A New Approach for Control Over Networks , 2011, IEEE Transactions on Automatic Control.

[2]  Gündüz Ulusoy,et al.  Simultaneous scheduling of machines and automated guided vehicles , 1993 .

[3]  Patrick Pujo Pilotage isoarchique des systèmes de production , 2012 .

[4]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[5]  Tag Gon Kim,et al.  The DEVS framework for discrete event systems control , 1994, Fifth Annual Conference on AI, and Planning in High Autonomy Systems.

[6]  Patrick Pujo,et al.  Pull control for job shop: holonic manufacturing system approach using multicriteria decision-making , 2012, J. Intell. Manuf..

[7]  Robert W. Brennan,et al.  An architecture for metamorphic control of holonic manufacturing systems , 2001, Comput. Ind..

[8]  Ian F. Akyildiz,et al.  Wireless sensor and actor networks: research challenges , 2004, Ad Hoc Networks.

[9]  Hendrik Van Brussel,et al.  A Benchmarking Service for the Manufacturing Control Research Community , 2004 .

[10]  Damien Trentesaux,et al.  Distributed artificial intelligence for FMS scheduling, control and design support , 2000, J. Intell. Manuf..

[11]  Feng Xia,et al.  Wireless Sensor/Actuator Network Design for Mobile Control Applications , 2007, Sensors.

[12]  Miroslav Pajic,et al.  Robust architectures for embedded wireless network control and actuation , 2012, TECS.

[13]  James C. Taylor,et al.  Performance By Design: Sociotechnical Systems In North America , 1992 .

[14]  Ian F. Akyildiz,et al.  Wireless Sensor Networks: Akyildiz/Wireless Sensor Networks , 2010 .

[15]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[16]  Adam Dunkels,et al.  Contiki - a lightweight and flexible operating system for tiny networked sensors , 2004, 29th Annual IEEE International Conference on Local Computer Networks.

[17]  Sumit Ghosh,et al.  GDEVS: a generalized discrete event specification for accurate modeling of dynamic systems , 2000, Proceedings 5th International Symposium on Autonomous Decentralized Systems.

[18]  N. Giambiasi,et al.  Customers-Suppliers Relationship Management in an Intelligent Supply Chain , 2007 .

[19]  Gary W. Muller,et al.  Designing Effective Organizations: The Sociotechnical Systems Perspective , 1988 .

[20]  Jiangchuan Liu,et al.  A real-time communication framework for wireless sensor-actuator networks , 2006, 2006 IEEE Aerospace Conference.

[21]  Hendrik Van Brussel,et al.  Intelligent products: Agere versus Essere , 2009, Comput. Ind..

[22]  Patrick Pujo,et al.  Study of an intelligent and multicriteria scheduling service, using academic benchmarks , 2016, Int. J. Comput. Integr. Manuf..

[23]  Raymond W. Yeung,et al.  HSCF: A holonic shop floor control framework for flexible manufacturing systems , 2000, Int. J. Comput. Integr. Manuf..

[24]  A Koestler,et al.  Ghost in the Machine , 1970 .

[25]  E. Trist,et al.  Towards a Social Ecology: Contextual Appreciation of the Future in the Present , 1973 .

[26]  Manuel Mazo,et al.  Decentralized Event-Triggered Control Over Wireless Sensor/Actuator Networks , 2010, IEEE Transactions on Automatic Control.

[27]  Lida Xu,et al.  The internet of things: a survey , 2014, Information Systems Frontiers.

[28]  László Monostori,et al.  Cooperative control in production and logistics , 2015, Annu. Rev. Control..

[29]  Nikolay Tchernev,et al.  A simple metaheuristic approach to the simultaneous scheduling of machines and automated guided vehicles , 2008 .

[30]  Edward A. Lee Cyber-physical Systems -are Computing Foundations Adequate? Position Paper for Nsf Workshop on Cyber-physical Systems: Research Motivation, Techniques and Roadmap , 1998 .

[31]  JeongGil Ko,et al.  MEDiSN: medical emergency detection in sensor networks , 2008, SenSys '08.

[32]  Carlos Ramos,et al.  The Fabricare system: a multi-agent-based scheduling prototype , 2004 .

[33]  B. Shneiderman Science 2.0 , 2008, Science.

[34]  V. Vyatkin,et al.  Usability and Interoperability of IEC 61499 based distributed automation systems , 2006, 2006 4th IEEE International Conference on Industrial Informatics.

[35]  Julian Warner,et al.  Leonardo's Laptop: Human Needs and the New Computing Technologies , 2006, J. Documentation.

[36]  Reid G. Smith,et al.  The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver , 1980, IEEE Transactions on Computers.

[37]  Miroslav Pajic,et al.  Distributed Control for Cyber-Physical Systems , 2013 .

[38]  Jan Nikodem Modelling an Activity in Wireless Sensors Network , 2007, EUROCAST.

[39]  T. Saaty The Analytic Network Process , 2001 .

[40]  D. McFarlane,et al.  Holonic Manufacturing Control: Rationales, Developments and Open Issues , 2003 .

[41]  James Fealey,et al.  Performance by design , 2004 .

[42]  Felix T.S. Chan,et al.  A holonic architecture of the concurrent integrated process planning system , 2003 .

[43]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[44]  Paulo Leitão,et al.  ADACOR: A holonic architecture for agile and adaptive manufacturing control , 2006, Comput. Ind..

[45]  Patrick Pujo,et al.  Service Oriented Architecture for Holonic Isoarchic and Multicriteria Control , 2012, Service Orientation in Holonic and Multi-Agent Manufacturing Control.

[46]  Rolf H. Weber,et al.  Internet of Things - Legal Perspectives , 2010 .

[47]  Kusum Jain Application Domain of Wireless Sensor Network: - A Paradigm in Developed and Developing Countries , 2011 .

[48]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[49]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[50]  N. Giambiasi,et al.  Customer–supplier relationship management in an intelligent supply chain network , 2007 .

[51]  Rainer Unland Chapter 2 – Industrial Agents , 2015 .

[52]  Alessandro Vespignani Modelling dynamical processes in complex socio-technical systems , 2011, Nature Physics.

[53]  Raúl Carvajal,et al.  Systemic-Netfields: The Systems' Paradigm Crisis. Part I , 1983 .

[54]  Duncan McFarlane,et al.  Radio frequency identification data capture and its impact on shelf replenishment , 2007 .

[55]  Paul Valckenaers,et al.  Interacting Holons in Evolvable Execution Systems: The NEU Protocol , 2015, HoloMAS.

[56]  Ashraf Labib,et al.  Performance evaluation of reconfigurable manufacturing systems via holonic architecture and the analytic network process , 2011 .

[57]  A. G. U Lso,et al.  Reconfigurable manufacturing systems: Key to future manufacturing , 2000 .

[58]  László Monostori,et al.  ScienceDirect Variety Management in Manufacturing . Proceedings of the 47 th CIRP Conference on Manufacturing Systems Cyber-physical production systems : Roots , expectations and R & D challenges , 2014 .

[59]  S. M. Deen,et al.  Agent-Based Manufacturing , 2003, Advanced Information Processing.

[60]  Eddy Bajic,et al.  Smart Objects Design for Active Security Management of Hazardous Products , 2007 .

[61]  Judith S. Olson,et al.  From Shared Databases to Communities of Practice: A Taxonomy of Collaboratories , 2007, J. Comput. Mediat. Commun..

[62]  Prakash J. Singh,et al.  The e-integration dilemma: The linkages between Internet technology application, trading partner relationships and structural change , 2007 .

[63]  Paulo Leitão,et al.  Agent-based distributed manufacturing control: A state-of-the-art survey , 2009, Eng. Appl. Artif. Intell..

[64]  Luc Bongaerts,et al.  Reference architecture for holonic manufacturing systems: PROSA , 1998 .

[65]  Bernard P. Zeigler,et al.  Theory of modeling and simulation , 1976 .

[66]  Norbert Giambiasi,et al.  G-DEVS/HLA Environment for Distributed Simulations of Workflows , 2008, Simul..

[67]  Carlos F. García-Hernández,et al.  Wireless Sensor Networks and Applications: a Survey , 2007 .

[68]  Patrick Pujo,et al.  Holonic Logistics System: a novel point of view for Physical Internet , 2016, ICIS 2016.

[69]  Vicent J. Botti,et al.  Engineering Holonic Manufacturing Systems , 2009, Comput. Ind..

[70]  P. Pujo,et al.  Internal logistics as a service in a holonic and isoarchic control model , 2012, CCCA12.

[71]  Bernard P. Zeigler,et al.  Theory of Modelling and Simulation , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[72]  Patrick Pujo,et al.  PROSIS: An isoarchic structure for HMS control , 2009, Eng. Appl. Artif. Intell..