Intelligent Scheduling for Manufacturing Systems: A Case Study

Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

The aim of this paper is the presentation of a scheduling method, its implementation to a software system, and its application to a commercial refrigerator factory. The method employs the modeling of the factory’s resources and the assignment of the workload of the resources in a hierarchical fashion. The developed software system simulates the operations of the factory and provides a schedule for the manufacturing system’s resources. The system is integrated with a holistic virtual platform, namely Virtual Factory Framework that allows it to exchange data related to product, process, resources, and key performance indicators along with other software components also integrated with the Virtual Factory Framework. A set of digital scheduling experiments with data, coming from a real manufacturing system are conducted in order to validate the proposed method and the implemented system under different operational conditions.

References

  1. 1.
    Chryssolouris G (2006) Manufacturing systems: theory and practice, 2nd edn. Springer, New YorkGoogle Scholar
  2. 2.
    El Moudani W, Mora-Camino F (2000) A dynamic approach for aircraft assignment and maintenance scheduling by airlines. J Air Transp Manage 6(4):233–237CrossRefGoogle Scholar
  3. 3.
    Herroelen W, Leus R (2005) Project scheduling under uncertainty: survey and research potentials. Eur J Oper Res 165:289–306MATHCrossRefGoogle Scholar
  4. 4.
    Michalos G, Makris S, Mourtzis D (2011) A web based tool for dynamic job rotation scheduling using multiple criteria. CIRP Ann Manuf Technol 60(1):453–456CrossRefGoogle Scholar
  5. 5.
    Chryssolouris G, Mourtzis D, Geronimaki M (2003) An approach to planning of industry: a case study for a refrigerators producing facility. CIRP J Manuf Syst 32(6):499–506Google Scholar
  6. 6.
    Alagoz O, Azizogl M (2003) Rescheduling of identical parallel machines under machine eligibility constraints. Eur J Oper Res 149:523–532Google Scholar
  7. 7.
    Calhoun KM, Deckro RF, Moore JT, Chrissis JW, Van Hove JC (2002) Planning and re-planning in project and production planning. Omega 30:155–170CrossRefGoogle Scholar
  8. 8.
    Ozdamar L, Alanya E (2000) Uncertainty modelling in software development projects (with case study). Ann Oper Res 102:157–178Google Scholar
  9. 9.
    Wang J (2004) A fuzzy robust scheduling approach for product development projects. Eur J Oper Res 152:180–194MATHCrossRefGoogle Scholar
  10. 10.
    Efthymiou K, Michalopoulou M, Sipsas K, Giannoulis C, Mourtzis D, Chryssolouris G (2012) On plant reconfiguration following a collaborative engineering and knowledge management approach. In: (MITIP 2012) 14th International conference on modern information technology in the innovation processes of the industrial enterprises, Budapest, Hungary ISBN: 978-963-311-373-8Google Scholar
  11. 11.
    Chryssolouris G, Chan S (1985) An integrated approach to process planning and scheduling. CIRP Ann 34(1):413–417Google Scholar
  12. 12.
    Chryssolouris G, Lee M, Dicke K (1991) An approach to short interval scheduling for discrete parts manufacturing. Int J Comput Integr Manuf 4(3):157–168CrossRefGoogle Scholar
  13. 13.
    Ghielmini G, Pedrazzoli P, Rovere D, Terkaj W, Boër CR, Dal Maso G, Milella F, Sacco M (2011) Virtual factory manager of semantic data. In: Proceedings of DET2011 7th international conference on digital enterprise technology Athens, GreeceGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Lab for Manufacturing Systems and Automation, Department of Mechanical Engineering and AeronauticsUniversity of PatrasRioGreece

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