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Information requirements analysis for holonic manufacturing systems in a virtual environment

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Abstract

The design and development of holonic manufacturing systems requires careful, and sometimes risky, decision making to ensure that they will successfully satisfy the demands of an ever-changing market. In this paper, the authors propose a methodology for a holonic manufacturing systems requirement analysis that is based on a virtual reality approach and aimed at assisting designers of such systems along the entire systems design and development process. Exploiting virtual reality helps the user collect valid information quickly and in a correct form by putting the user and the information support elements in direct relation with the operation of the system in a more realistic environment. A prototype software system tool is designed to realise the features outlined in each phase of the methodology. A virtual manufacturing environment for matching the physical and the information model domains is utilised to delineate the information system requirements of holonic manufacturing systems implementation. A set of rules and a knowledge base is appended to the virtual environment to remove any inconsistency that could arise between the material and the information flows during the requirement analysis.

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References

  1. Brennan RW (2003) Norrie DH Metrics for evaluating distributed manufacturing control systems. Comput Ind 51:225–235

    Article  Google Scholar 

  2. Tiwari MK, Mondal S (2002) Application of an autonomous agent network to support the architecture of a holonic manufacturing system. Int J Adv Manuf Technol 20(12):931–942

    Article  Google Scholar 

  3. Fletcher M, Dean SM (2001) Common generic model of the holonic manufacturing systems project. Proc Ints Mech Eng B J Eng Manuf 215(9):1293–1297

    Article  Google Scholar 

  4. Babiceanu RF, Chen FF, Sturges RH (2005) Real-time holonic scheduling of material handling operations in a dynamic manufacturing environment. Robot Comput Integr Manuf 21:328–337

    Article  Google Scholar 

  5. Giret A, Botti V (2006) From requirements to holonic manufacturing system analysis. Int J Prod Res 44(18–19):3917–3928

    Article  MATH  Google Scholar 

  6. Giachetti RE, Martinez LD, Sáenz OA, Chen CS (2003) Analysis of the structural measures of flexibility and agility using a measurement theoretical framework. Int J Prod Econ 86(1):47–62

    Article  Google Scholar 

  7. Requirements engineering for the automotive industry. Published by IBM-America one Jun 02, 2009, http://whitepapers.manufacturing.net/whitepaper5676/, Accessed 1 February 2010

  8. Jin JQ, Loftus M, Franks IT (1998) A method for the acquisition of users’ requirements in discrete manufacturing cell systems. Comput Integr Manuf 11(3):229–242

    Article  Google Scholar 

  9. Giret A, Botti V (2009) Engineering holonic manufacturing systems. Comput Ind 60(6):228–440

    Article  Google Scholar 

  10. Blanc P, Demongodin I, Castagna P (2008) A holonic approach for manufacturing execution system design: an industrial application. Eng Appl Artif Intell 21(3):315–330

    Article  Google Scholar 

  11. Speck A, Pulvermuller E, Heuzeroth D (2003) Validation of business process models. Proceedings of ECOOP2003 Workshop Correctness of Model-based Software Composition (CMC), Darmstadt, pp 75–83

    Google Scholar 

  12. Wand Y, Weber R (2002) Research commentary: information systems and conceptual modelling—a research agenda. Inf Syst Resh 13(4):363–376

    Article  Google Scholar 

  13. The Standish Group International, The CHAOS Report, 1994 URL: http://www.standishgroup.com/sample_research/chaos_1994_1.php, Accessed 1 February 2010

  14. Billo RE, Rucker R, Paul BK (1994) Three rapid and effective requirements definition modelling tools: evolving technology for manufacturing system investigations. Int J Comp Integ M 7(3):186–199

    Article  Google Scholar 

  15. Schmid R, Ryser J, Berner S, Glinz M, Reutemann R, Fahr E (2000) Technical Report 2000.06. Institut for Informatik University of Zurich, Switzerland

    Google Scholar 

  16. Hlupic V (2000) Simulation software: an Operational Research Society survey of academic and industrial users. Proc Winter Simul Conf 2(10–13):1676–1683

    Google Scholar 

  17. Yang SM, Ahn B, Seo KK (2--6) Development of a prototype customer-oriented virtual factory system. Int J Adv Manuf Technol 28:1031–1037

    Article  Google Scholar 

  18. Cecil J, Kanchanapiboon A (2007) Virtual engineering approaches in product and process design. Int J Adv Manuf Technol 31:846–856

    Article  Google Scholar 

  19. Wenbin Z, Juanqi Y, Dengzhe M, Ye J, Xiumin F (2006) Production engineering-oriented virtual factory: a planning cell-based approach to manufacturing systems design. Int J Adv Manuf Technol 28:957–965

    Article  Google Scholar 

  20. Peng Q, Yu C (2007) Enhanced integrated manufacturing systems in an immersive virtual environment. P I Mech Eng B J Eng 221(3):477–487

    Article  Google Scholar 

  21. Freiheit T, Shpitalni M, Hu SJ, Koren Y (2004) Productivity of synchronized serial production lines with flexible reserve capacity. Int J Prod Res 42(10):2009–2027

    Article  MATH  Google Scholar 

  22. Knoll JM, Heim JM (2000) Ensuring the successful adoption of discrete event simulation in a manufacturing environment. Proceedings of the 32nd Conference on Winter Simulation, pp. 1297–1304

  23. Giret A, Botti V (2004) Holons and agents. J Intell Manuf 15:645–659

    Article  Google Scholar 

  24. Fischer K, Schillo M, Siekmann J (2003) Holonic multiagent systems: a foundation for the organisation of multiagent systems. Proceedings first international conference on industrial application of holonic and multi-agent-systems (HoloMas) (2003) LNAI 2744. Springer, Prague, pp 71–80

    Google Scholar 

  25. Huget MP, Odell J (2004) Representing Agent Interaction Protocols with Agent UML. Proc. 5th Int'l Workshop on Agent-Oriented Software Eng. Springer, New York

  26. Agent UML Website, http://www.auml.org/, Accessed 1 February 2010

  27. FIPA Modelling Technical Committee http://www.fipa.org/activities/modeling.html, Accessed 1 February 2010

  28. Bergamaschi S, Gionata G, Guerra F, Vincini M (2003) Experiencing AUML for the WINK Multi-Agent System, in Proceedings of AIIA and TABOO Workshop: From Object to Agents (WOA03), Villassimius, CA

  29. Beer M, Huang W, Hill R (2003) Designing Community Care Systems with AUML, Proceedings of the International Conference on Computer, Communication and Control Technologies (CCCT '03) and the 9th International Conference on Information Systems Analysis and Synthesis (ISAS '03). IEEE Computer Society, Orlando, pp 247–253

    Google Scholar 

  30. Huget MP (2002) An Application of Agent UML to Supply Chain Management, in Proceedings of the Fourth International Bi-Conference Workshop on Agent-Oriented Information Systems. Bologna, Italy

    Google Scholar 

  31. Unified Modelling Language (UML) 2.2, http://www.omg.org/spec/UML/2.2/, Accessed 1 February 2010

  32. Huget MP (2004) Agent UML notation for multi-agent system design. IEEE Int Comput 8(4):63–71

    Article  Google Scholar 

  33. Bal M, Hashemipour M (2009) Virtual factory approach for implementation of holonic control in industrial applications: a case study in die-casting industry. Robot Com Integr Manuf 25(3):570–580

    Article  Google Scholar 

  34. Brussel HV, Wyns J, Valckenaers P, Bongaerts L, Peeters P (1998) Reference architecture for holonic manufacturing systems: PROSA. Comput Ind Special Issue Intelligent Manufacturing Systems 37(3):255–276

    Google Scholar 

  35. Xu ZJ, Zhao ZX (2000) Baines RW constructing virtual environments for manufacturing simulation. Int J Prod Res 38(17):4171–4191

    Article  MathSciNet  Google Scholar 

  36. Maccarthy BL, Fernandes FCF (2000) A multi-dimensional classification of production systems for the design and selection of production planning and control systems. Prod Plan Control 11(5):481–496

    Article  Google Scholar 

  37. Egyed A (2007) UML/Analyser: A tool for the instant Consistency Checking of UML Models, 29th international Conference on Software Engineering (ICSE’07)

  38. DuCharme B (1998) XML: the annotated specification. Prentice Hall PTR, Upper Saddle River

    Google Scholar 

  39. Goldfarb C (2002) XML handbook. Prentice Hall, Upper Saddle River

    Google Scholar 

  40. Manufacturing XML Promotion Forum: {http://www.mfgx-forum.org/}, Accessed 1 February 2010

  41. McLean C, Jones A, Lee T, Riddick F (2002) Manufacturing modelling architectures: an architecture for a generic data-driven machine shop simulator. Proceedings of the 34th conference on Winter simulation: exploring new frontiers, December 08–11, San Diego, California

  42. Kojima T, Ohtani S, Ohashi T (2008) A manufacturing XML schema definition and its application to a data management system on the shop floor. Robot Com Integr Manuf 24(4):545–552

    Article  Google Scholar 

  43. Delmia QUEST, Dassault Systems. http://www.delmia.com, Accessed 1 February 2010

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Correspondence to Hamed Farahani Manesh.

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Farahani Manesh, H., Schaefer, D. & Hashemipour, M. Information requirements analysis for holonic manufacturing systems in a virtual environment. Int J Adv Manuf Technol 53, 385–398 (2011). https://doi.org/10.1007/s00170-010-2822-0

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  • DOI: https://doi.org/10.1007/s00170-010-2822-0

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