nach oben

Journal of Intelligent Manufacturing

Erschienen in:

18.10.2014

Measures of reconfigurability and its key characteristics in intelligent manufacturing systems

verfasst von: Amro M. Farid

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 2/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In recent years, the fields of reconfigurable manufacturing systems, holonic manufacturing systems, and multi-agent systems have made technological advances to support the ready reconfiguration of automated manufacturing systems. While these technological advances have demonstrated robust operation and been qualitatively successful in achieving reconfigurability, limited effort has been devoted to the measurement of reconfigurability in the resultant systems. Hence, it is not clear (1) to which degree these designs have achieved their intended level of reconfigurability, (2) which systems are indeed quantitatively more reconfigurable and (3) how these designs may overcome their design limitations to achieve greater reconfigurability in subsequent design iterations. Recently, a reconfigurability measurement process based upon axiomatic design knowledge base and the design structure matrix has been developed. Together, they provide quantitative measures of reconfiguration potential and ease. This paper now builds upon these works to provide a set of composite reconfigurability measures. Among these are measures for the key characteristics of reconfigurability: integrability, convertibility, and customization, which have driven the qualitative and intuitive design of these technological advances. These measures are then demonstrated on an illustrative example followed by a discussion of how they adhere to requirements for reconfigurability measurement in automated and intelligent manufacturing systems.

Vorheriger Artikel A multi-objective scheduling algorithm with self-evolutionary feature for job-shop-like knowledgeable manufacturing cell

Nächster Artikel A multi-objective genetic algorithm for assembly line resource assignment and balancing problem of type 2 (ALRABP-2)

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Abadir, K. M., & Magnus, J. R. (2005). Matrix algebra (Vol. 1). Cambridge: Cambridge University Press.CrossRef

ANSI-ISA. (2005). Enterprise control system integration part 3: Activity models of manufacturing operations management. Technical report: The International Society of Automation.

Babiceanu, R., & Chen, F. (2006). Development and applications of holonic manufacturing systems: A survey. Journal of Intelligent Manufacturing, 17, 111–131.CrossRef

Baca, E. E. S., Farid, A. M., & Tsai, I. T. (2013) An axiomatic design approach to passenger itinerary enumeration in reconfigurable transportation systems. In Proceedings of ICAD2013 the 7th international conference on axiomatic design, Worcester, MA (pp. 138–145). http://amfarid.scripts.mit.edu/resources/ETN-C02.pdf.

Bellifemine, F., Caire, G., & Greenwood, D. (2007) Developing Multi-agent systems with JADE. Wiley, Hoboken. http://homepages.abdn.ac.uk/w.w.vasconcelos/pages/teaching/CS4027/abdn.only/jade_book.pdf.

Brennan, R., & Norrie, D. H. (2001). Agents, holons and function blocks: Distributed intelligent control in manufacturing. Journal of Applied Systems Science: Special Issue, 2(1), 1–19.

Carr, J. (2002) Recipes for intelligent products. Technical Report.

Cerni, R. H., & Foster, L. E. (1962). Instrumentation for engineering measurment. Hoboken: Wiley.

Dashchenko, A. I. (2006). Reconfigurable manufacturing systems and transformable factories. Berlin: Springer.CrossRef

Dijkstra, E. W. (1990). Beyond structured programming: An introduction to the principles of software metrics. Journal of Structured Programming, 11(1) 268–277.

Ejiogu, L. O. (1991). Software engineering with formal metrics. New York: QED Technical Publishing Group: McGraw-Hill Book Company.

Farid, A. M. (2007). Reconfigurability measurement in automated manufacturing systems. Ph.d. dissertation, University of Cambridge Engineering Department Institute for Manufacturing. http://amfarid.scripts.mit.edu/resources/RMS-T01.pdf.

Farid, A. M. (2008a). Facilitating ease of system reconfiguration through measures of manufacturing modularity. In Proceedings of the Institution of Mechanical Engineers, Part B (Journal of Engineering Manufacture)-invited paper, 222(B10):1275–1288. doi:10.1243/09544054JEM1055.

Farid, A. M. (2008b). Product degrees of freedom as manufacturing system reconfiguration potential measures. International Transactions on Systems Science and Applications-invited paper, 4(3):227–242. http://amfarid.scripts.mit.edu/resources/RMS-J03.pdf.

Farid, A. M. (2013). An axiomatic design approach to non-assembled production path enumeration in reconfigurable manufacturing systems. In 2013 IEEE international conference on systems man and cybernetics (pp. 1–8). Manchester, UK. doi:10.1109/SMC.2013.659.

Farid, A. M. (2014a). Static resilience of large flexible engineering systems : part I—Axiomatic design model. In 4th International engineering systems symposium (pp. 1–8). Hoboken, NJ. http://amfarid.scripts.mit.edu/resources/CESUN1.pdf.

Farid, A. M. (2014b) Static resilience of large flexible engineering systems : Part II—axiomatic design measures. In 4th International engineering systems symposium (pp. 1–8)

Farid, A. M., & Covanich, W. (2008). Measuring the effort of a reconfiguration process. In IEEE international conference on emerging technologies and factory automation, 2008. ETFA 2008 (pp. 1137–1144). Hamburg, Germany. doi:10.1109/ETFA.2008.4638540.

Farid, A. M., & McFarlane, D. C. (2006a). A development of degrees of freedom for manufacturing systems. In IMS’2006: 5th international symposium on intelligent manufacturing systems: agents and virtual worlds (pp. 1–6). Sakarya, Turkey. http://amfarid.scripts.mit.edu/resources/RMS-C03.pdf.

Farid, A. M., & McFarlane, D. C. (2006b). A tool for assessing reconfigurability of distributed manufacturing systems. In: 12th IFAC symposium on information control problems in manufacturing, INCOM 2006, and associated industrial meetings: EMM’2006, BPM’2006, JT’2006, May 17, 2006– May 19, 2006, IFAC Secretariat, Saint Etienne, France, IFAC Proceedings Volumes (IFAC-PapersOnline) (Vol. 12, pp. 1–6). http://amfarid.scripts.mit.edu/resources/RMS-C02.pdf.

Farid, A. M., & McFarlane, D. C. (2006c). An approach to the application of the design structure matrix for assessing reconfigurability of distributed manufacturing systems. In Proceedings of the IEEE workshop on distributed intelligent systems: Collective intelligence and its applications (DIS’06), IEEE Comput. Soc, Prague, Czech republic, IEEE workshop on distributed intelligent systems: collective intelligence and its applications (pp. 1–6). doi:10.1109/DIS.2006.10.

Farid, A. M., & McFarlane, D. C. (2007). A design structure matrix based method for reconfigurability measurement of distributed manufacturing systems. International Journal of Intelligent Control and Systems Special Issue- invited paper, 12(2):118–129. http://www.ezconf.net/IJICS/files/77/final-3.pdf.

Farid, A. M., & McFarlane, D. C. (2008). Production degrees of freedom as manufacturing system reconfiguration potential measures. Proceedings of the Institution of Mechanical Engineers, Part B (Journal of Engineering Manufacture)-invited paper, 222(B10):1301–1314. doi:10.1243/09544054JEM1056, http://pib.sagepub.com/content/222/10/1301.

Friedenthal, S., Moore, A., & Steiner, R. (2011). A practical guide to SysML: The systems modeling language (2nd ed.). Burlington, MA: Morgan Kaufmann.

Gasevic, D., Djuric, D., & Devedzic, V. (2009). Model driven engineering and ontology development (2nd ed.). Dordrecht: Springer.

Group, O. (2007). Common object request broker architecture: Core specification. Technical report.

Heilala, J., & Voho, P. (2001). Modular reconfigurable flexible final assembly systems. Assembly Automation, 21(1), 20–28.CrossRef

Hirtz, J., Stone, R., McAdams, D., Szykman, S., & Wood, K. (2002). A functional basis for engineering design: Reconciling and evolving previous efforts. Research in Engineering Design, 13, 65–82.CrossRef

Koren, Y., Heisel, U., Jovane, F., Moriwaki, T., Pritschow, G., Ulsoy, G., et al. (1999). Reconfigurable manufacturing systems. CIRP Annals: Manufacturing Technology, 48(2), 527–540.CrossRef

Kristianto, Y., Helo, P., & Jiao, R. (2013). Mass customization design of engineer-to-order products using Benders’ decomposition and bi-level stochastic programming. Journal of Intelligent Manufacturing, 24(5), 961–975. doi:10.1007/s10845-012-0692-z.CrossRef

Landers, R. G., Min, B. K., & Koren, Y. (2001). Reconfigurable machine tools. CIRP Annals: Manufacturing Technology, 50, 269–274.CrossRef

Leitao, P., & Restivo, F. (2006). ADACOR: A holonic architecture for agile and adaptive manufacturing control. Computers in Industry, 57(2), 121–130. doi:10.1016/j.compind.2005.05.005.CrossRef

Leitao, P. (2009). Agent-based distributed manufacturing control: A state-of-the-art survey. Engineering Applications of Artificial Intelligence, 22(7), 979–991. doi:10.1016/j.engappai.2008.09.005.CrossRef

Leitao, P., Barbosa, J., & Trentesaux, D. (2012). Bio-inspired multi-agent systems for reconfigurable manufacturing systems. Engineering Applications of Artificial Intelligence, 25(5), 934–944. doi:10.1016/j.engappai.2011.09.025.CrossRef

Lepuschitz, W., Zoitl, A., Vallee, M., & Merdan, M. (2010). Toward self-reconfiguration of manufacturing systems using automation agents. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 41(1), 52–69. doi:10.1109/TSMCC.2010.2059012.CrossRef

Lin, Y. I., Chou, Y. W., Shiau, J. Y., & Chu, C. H. (2013). Multi-agent negotiation based on price schedules algorithm for distributed collaborative design. Journal of Intelligent Manufacturing, 24(3), 545–557. doi:10.1007/s10845-011-0609-2.CrossRef

Marik, V., Fletcher, M., Pechoucek, M., Stepankova, O., Krautwurmova, H., & Luck, M. (2002) Holons and agents: Recent developments and mutual impacts. In Multi-agent systems and applications II: Lecture Notes in Artificial Intelligence (pp. 233–267). Springer, Berlin.

Marik, V., & McFarlane, D. (2005). Industrial adoption of agent-based technologies. IEEE Intelligent Systems [see also IEEE Intelligent Systems and Their Applications], 20(1), 27–35.CrossRef

McFarlane, D., & Bussmann, S. (2000). Developments in holonic production planning and control. Production Planning and Control, 11(6), 522–536.CrossRef

McFarlane, D., Bussmann, S., & Deen, S. M. (2003). Holonic manufacturing control: Rationales, developments and open issues. In: Agent-Based Manufacturing (pp. 303–326). Berlin: Springer.

McFarlane, D., Carr, C., Harrison, M., & McDonald, A. (2002). Auto-ID’s three R’s: Rules and recipes for product requirements. Technical report.

Mehrabi, M. G., Ulsoy, A. G., & Koren, Y. (2000a). Reconfigurable manufacturing systems and their enabling technologies. International Journal of Manufacturing Technology and Management, 1(1), 113–130.CrossRef

Mehrabi, M. G., Ulsoy, A. G., & Koren, Y. (2000b). Reconfigurable manufacturing systems: Key to future manufacturing. Journal of Intelligent Manufacturing, 11(4), 403–419.CrossRef

Mehrabi, M. G., Ulsoy, A. G., Koren, Y., & Heytler, P. (2002). Trends and perspectives in flexible and reconfigurable manufacturing systems. Journal of Intelligent Manufacturing, 13(2), 135–146.CrossRef

Müller, R., Esser, M., & Vette, M. (2013). Reconfigurable handling systems as an enabler for large components in mass customized production. Journal of Intelligent Manufacturing, 24(5), 977–990. doi:10.1007/s10845-012-0624-y.CrossRef

Munroe, M. E. (1971). Measure and integration. Reading, MA: Addison-Wesley.

Oliver, D. W., Kelliher, T. P., & Keegan, J. G. (1997). Engineering complex systems with models and objects. New York: McGraw-Hill.

Pine, J. B. (1993). Mass customization: The new frontier in business competition. Cambridge, MA: Harvard Business School Press.

Ribeiro, L., & Barata, J. (2013). Self-organizing multiagent mechatronic systems in perspective. In IEEE international conference on industrial informatics, IEEE, Bochum, Germany, 2013 11th IEEE International Conference on Industrial Informatics (INDIN) (pp. 392–397). doi:10.1109/INDIN.2013.6622916.

Setchi, R. M., & Lagos, N. (2005). Reconfigurability and reconfigurable manufacturing systems: State of the art review. In: Innovative production machines and systems: Production automation and control state of the art review (pp. 131–143). Cardiff, UK: Nework of Excellence, Innovative Production Machines and Systems.

Shen, W., & Norrie, D. (1999). Agent-based systems for intelligent manufacturing: A state-of-the-art survey. Knowledge and Information Systems: An International Journal, 1(2), 129–156.CrossRef

Shen, W., Norrie, D., & Barthes, J. P. (2000). MultiAgent systems for concurrent intelligent design and manufacturing. London: Taylor and Francis.CrossRef

Shirinzadeh, B. (2002). Flexible fixturing for workpiece positioning and constraining. Assembly Automation, 22(2), 112–120. doi:10.1108/01445150210423143.CrossRef

Smith, S., Jiao, R., & Chu, C. H. (2013a). Editorial: Advances in mass customization. Journal of Intelligent Manufacturing, 24(5), 873–876. doi:10.1007/s10845-012-0700-3.CrossRef

Smith, S., Smith, G., Jiao, R., & Chu, C. H. (2013b). Mass customization in the product life cycle. Journal of Intelligent Manufacturing, 24(5), 877–885. doi:10.1007/s10845-012-0691-0.CrossRef

Stevens, S. S. (1946). On the theory of scales and measurement. Science, 103, 677–680.CrossRef

Suh, N. P. (2001). Axiomatic design: Advances and applications. Oxford: Oxford University Press.

Trappey, A., Trappey, C., & Ni, W. C. (2013). A multi-agent collaborative maintenance platform applying game theory negotiation strategies. Journal of Intelligent Manufacturing, 24(3), 613–623. doi:10.1007/s10845-011-0606-5.

Vallee, M., Merdan, M., Lepuschitz, W., & Koppensteiner, G. (2011). Decentralized reconfiguration of a flexible transportation system. IEEE Transactions on Industrial Informatics, 7(3), 505–516. doi:10.1109/TII.2011.2158839.

Viswanath, A., Baca, E. E. S., & Farid, A. M. (2013). An axiomatic design approach to passenger itinerary enumeration in reconfigurable transportation systems. IEEE Transactions on Intelligent Transportation Systems (99):1–10. doi:10.1109/TITS.2013.2293340.

Vyatkin, V. (2007). IEC 61499 function blocks for embedded and distributed control systems. Research Triangle Park, NC: Instrumentation Society of America.

Wikipedia. (2007) Ontology. Technical report.

Wu, D., Zhang, L., Jiao, R., & Lu, R. (2013). SysML-based design chain information modeling for variety management in production reconfiguration. Journal of Intelligent Manufacturing, 24(3), 575–596. doi:10.1007/s10845-011-0585-6.

Zuse, H. (1991). Software complexity: Measures and methods. Hawthorne, NJ: Walter de Gruyter & Co

Titel: Measures of reconfigurability and its key characteristics in intelligent manufacturing systems
verfasst von: Amro M. Farid
Publikationsdatum: 18.10.2014
Verlag: Springer US
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 2/2017
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-014-0983-7

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 2/2017

An inverse model for injection molding of optical lens using artificial neural network coupled with genetic algorithm

Solving dynamic systems with multi-responses by integrating desirability function and data envelopment analysis

Bearing fault diagnosis using multiclass support vector machines with binary particle swarm optimization and regularized Fisher’s criterion

Modified genetic algorithm for simple straight and U-shaped assembly line balancing with fuzzy processing times

Decision guidance methodology for sustainable manufacturing using process analytics formalism

A multi-objective genetic algorithm for assembly line resource assignment and balancing problem of type 2 (ALRABP-2)

Premium Partner

Marktübersichten