The deployment of modern information and communication technologies (ICT) within manufacturing systems leads to the creation of so-called cyber-physical production systems that consist of intelligent interconnected production facilities. One of the expected features of cyber-physical production systems is found to be the capability of self-organization and decentralized process planning in manufacturing. The functionality as well as the benefit of such self-organization concepts is yet to be proved. In this paper, the implementation of a virtual test field for the simulation of manufacturing systems based on a multi-agent system modeling concept is presented and used to evaluate a concept of decentralized process planning. Thereby, special focus is laid on the impact on energy consumption. The simulation results show the potential for energy reduction in manufacturing by a decentralized process-planning concept and yields hints for further development of such concepts.
Issue Section:
Research Papers
References
1.
Kagermann
, H.
, Wahlster
, W.
, and Helbig
, J.
, 2013
, “Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0: Final Report of the Industrie 4.0 Working Group
,” Acatech—National Academy of Science and Engineering, Munich, Germany.2.
Broy
, M.
, 2013
, “Engineering Cyber-Physical Systems: Challenges and Foundations
,” Complex Systems Design and Management
, M.
Aiguier
, Y.
Caseau
, D.
Krob
, and A.
Rauzy
, eds., Springer, Berlin
, Heidelberg
, pp. 1
–13
.3.
Li
, Y.
, Chang
, Q.
, Jin
, X.
, and Ni
, J.
, 2015
, “Stochastic Energy Opportunity Windows in Advanced Manufacturing Systems
,” ASME
Paper No. MSEC2015-9257.4.
Leitão
, P.
, 2009
, “Agent-Based Distributed Manufacturing Control: A State-of-the-Art Survey
,” Eng. Appl. Artif. Intell.
, 22
(7
), pp. 979
–991
.5.
Warnecke
, H.-J.
, 1993
, The Fractal Company
, Springer
, Berlin
.6.
Brennan
, R. W.
, Christensen
, J. H.
, Gruver
, W. A.
, Kotak
, D. B.
, Norrie
, D. H.
, and van Leeuwen
, E. H.
, 2005
, “Holonic Manufacturing Systems: A Technical Overview
,” The Industrial Information Technology Handbook
(Industrial Electronics Series), Richard
Zurawski
, ed., CRC Press LLC
, Boca Raton, FL
, pp. 160-1
–160-15
.7.
Okino
, N.
, 1993
, “Bionic Manufacturing System
,” Flexible Manufacturing Systems
, J.
Peklenik
, ed., CIRP and Univerza v Ljubljani, Faculty of Mechanical Engineering, Ljubljana
, Slovenia and Paris
, pp. 73
–95
.8.
Monostori
, L.
, Váncza
, J.
, and Kumara
, S.
, 2006
, “Agent-Based Systems for Manufacturing
,” Ann. CIRP
, 55
(2
), pp. 697
–720
.9.
van Brussel
, H.
, Wyns
, J.
, Valckenaers
, P.
, Bongaerts
, L.
, and Peeters
, P.
, 1998
, “Reference Architecture for Holonic Manufacturing Systems: PROSA
,” Comput. Ind.
, 37
(3
), pp. 255
–274
.10.
Leitão
, P.
, and Restivo
, F.
, 2006
, “Adacor: A Holonic Architecture for Agile and Adaptive Manufacturing Control
,” Comput. Ind.
, 57
(2
), pp. 121
–130
.11.
Chemnitz
, M.
, Krüger
, J.
, Patzlaff
, M.
, and Tuguldur
, E.-O.
, 2010
, “SOPRO—Advancements in the Self-Organising Production
,” IEEE Conference on Emerging Technologies and Factory Automation
(ETFA
), Sept. 13–16.12.
Zühlke
, D.
, 2009
, “Smartfactory—A Vision Becomes Reality
,” IFAC Proc.
, 42
(4
), pp. 31
–39
.13.
Helu
, M.
, and Hedberg
, T.
, Jr., 2015
, “Enabling Smart Manufacturing Research and Development Using a Product Lifecycle Test Bed
,” 43rd Proceedings of the North American Manufacturing Research Institution of
SME
, Charlotte, NC, June 8–12, pp. 86
–97
.14.
Ilsen
, R.
, Meissner
, H.
, and Aurich
, J. C.
, 2015
, “Virtual Test Field for Sustainability Assessment of Cybertronic Production Systems
,” ASME
Paper No. MSEC2015-9232.15.
Thiede
, S.
, and Herrmann
, C.
, 2011
, “Energy Flow Simulation for Manufacturing Systems
,” Advances in Sustainable Manufacturing
, G.
Seliger
, M. M.
Khraisheh
, and I.
Jawahir
, eds., Springer, Berlin Heidelberg
, pp. 275
–280
.16.
Thiede
, S.
, 2012
, Energy Efficiency in Manufacturing Systems
, Springer
, Berlin
.17.
Weinert
, N.
, Rohrmus
, D.
, and Dudeck
, S.
, 2012
, “Energy-Aware Production Planning Based on EnergyBlocks in a Siemens AG Generator Plant
,” Sustainable Manufacturing
, G.
Seliger
, ed., Springer
, Berlin
, pp. 211
–216
.18.
Verl
, A.
, Westkämper
, E.
, Abele
, E.
, Dietmair
, A.
, Schlechtendahl
, J.
, Friedrich
, J.
, Haag
, H.
, and Schrems
, S.
, 2011
, “Architecture for Multilevel Monitoring and Control of Energy Consumption
,” Glocalized Solutions for Sustainability in Manufacturing
, J.
Hesselbach
and C.
Herrmann
, eds., Springer
, Berlin
, pp. 347
–352
.19.
Diaz
, N.
, and Dornfeld
, D.
, 2012
, “Cost and Energy Consumption Optimization of Product Manufacture in a Flexible Manufacturing System
,” Leveraging Technology for a Sustainable World
, D. A.
Dornfeld
and B. S.
Linke
, eds., Springer, Berlin Heidelberg
, pp. 411
–416
.20.
Weiss
, G.
, ed., 2013
, Multiagent Systems
(Intelligent Robotics and Autonomous Agents), 2nd ed., The MIT Press
, Cambridge, MA
.21.
Diaz
, N.
, Redelsheimer
, E.
, and Dornfeld
, D.
, 2011
, “Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use
,” Glocalized Solutions for Sustainability in Manufacturing
, J.
Hesselbach
and C.
Herrmann
, eds., Springer, Berlin
Heidelberg
, pp. 263
–267
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