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Adaptive job shop control based on permanent order sequencing

Balancing between knowledge-based control and complete rescheduling

  • Production Management
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Abstract

Shop floors organized as job shops are indispensable for many single- and small-series productions with low repetition rates. Due to its high complexity regarding production control, job shop production systems have efficiency disadvantages compared to other forms of organization. This paper presents a new approach for a job shop control system which bases on a deviation-caused, autonomous adaption of the production schedule, aiming at low production costs.

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References

  1. Bechte W (1998) Theory and practice of load-oriented manufacturing control. Int J Prod Res 26(3):375–395

    Article  Google Scholar 

  2. Bharathi K, Vijaylakshmi C (2014) Optimization for flexible job shop scheduling by evolutionary representation. Ann Pure Appl Math 1(7):29–34

    Google Scholar 

  3. Bley H, Jostock J, Reck K (1995) Order control by a hierarchical, selforganizing computer system. Ann CIRP 44(1):407–411

    Article  Google Scholar 

  4. van Brackel T (2008) Adaptive Steuerung flexibler Werkstattfertigungssysteme (Adaptive Control of Flexible Job Shop Production Systems). Dissertation, University of Paderborn

  5. Breithaupt JW, Land M, Nyhuis P (2002) The workload control concept: theory and practical extensions of Load Oriented Order Release. Prod Plan Control 13(7):625–638

    Article  Google Scholar 

  6. Davis L (1985) Job Shop Scheduling with Genetic Algorithms. In: Grefenstette J (ed) Proceedings of an International Conference on Genetic Algorithms and their Applications. Lawrence Erlbaum Associates, Hillsdale, pp 136-140

  7. Engelhardt P, Reinhart G (2012) Approach for an RFID-based Situational Shop Floor Control. In: Proceedings of the 2012 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2012). Hongkong

  8. Goncalves JF, de Magalhes Mendes JJ, Resende MGC (2005) A Hybrid Genetic Algorithm for the job shop scheduling problem. Eur J Oper Res 167(1):77–95

    Article  MathSciNet  MATH  Google Scholar 

  9. Hopp WJ, Spearman ML (2001) Factory physics—foundation of manufacturing management, 3rd edn. McGraw-Hill/Irwin, New York

    Google Scholar 

  10. Liao C, Gen M, Tiwari M, Chang P (2013) Meta-heuristics for manufacturing scheduling and logistics problems. In: International Journal of Production Economics, vol 141

  11. Loedding H, Yu KW, Wiendahl HP (2003) Decentralized WIP-oriented manufacturing control (DEWIP). Prod Plan Control 14(1):42–54

    Article  Google Scholar 

  12. Miltenburg J (2005) Manufacturing strategy: how to formulate and implement a winning plan. Productivity Press, New York

    Google Scholar 

  13. Nestler H (1969) Methoden zur Bestimmung der Raumgroesse und Raumausnutzung von Fertigungswerkstaetten (Methods for Determining Space and Space Utilization of Manufacturing Job Shops). Dissertation, University of Hannover

  14. Niehues M, Reinhart G, Nissen F (2012) Moderne Werkstattfertigung (Modern job shop production). ZWF Zeitschrift fuer wirtschaftlichen Fabrikbetrieb 107(12):892–896

    Article  Google Scholar 

  15. Niehues M, Buschle F, Reinhart G (2015) Adaptive job-shop control based on permanent order sequencing. In: 9th CIRP International Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME). Procedia CIRP, vol 33, pp 127–132

  16. Niehues M, Sellmaier P, Steinhaeusser T, Reinhart G (2016) Adaptive job-shop control using resource accounts. In: 49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016). Stuttagrt

  17. Nyhuis P, Wiendahl HP (2009) Fundamentals of production logistics: theory, tools and applications. Springer, Berlin

    Book  Google Scholar 

  18. Scheduling PM (2008) Theory, algorithms, and systems, 3rd edn. Springer, New York, London

    Google Scholar 

  19. Pipho KH (1979) Verfahren zur Ermittlung der Zwischenlagerflaeche bei Werkstattfertigung (Method for Determining the Intermediate Storage Area in Job Shop Production Systems). Dissertation, University of Hannover

  20. Pritschow G, Wiendahl HP (1995) Application of control theory for production logistics—results of a joint project. Ann CIRP 44(1):421–424

    Article  Google Scholar 

  21. Reinhart G, Niehues M, Ostgathe M (2012) Adaptive, location-based shop floor control. In: ElMaraghy HA (ed) Enabling manufacturing competitiveness and economic sustainability. Springer, Heidelberg, Dordrecht, London, New York, pp 482–487

    Chapter  Google Scholar 

  22. Rempp B (2003) Regelungstechnische Untersuchung durchsatzgeregelter Produktionssysteme (Control Theory-oriented Investigation of Throughput-controlled Production Systems). Dissertation, University of Stuttgart

  23. Schuh G, Gottschalk S, Hoehne T (2007) High resolution production management. Ann CIRP 56(1):439–442

    Article  Google Scholar 

  24. Schwartz F (2003) Stoerungsmanagement in Produktionssystemen (Interference Management in Production Systems). Dissertation, RWTH Aachen University

  25. Sheikh K (2003) Manufacturing resource planning (MRP II). McGraw-Hill, New York

    Google Scholar 

  26. Simon D (2014) Fertigungsregelung durch zielgroessenorientierte Planung und logistisches Stoerungsmanagement (Production Control by Target-oriented Planning and Logistical Failure Management). Dissertation, Technical University of Munich

  27. Sonnenschein K (1998) Feinplanung in flexiblen Fertigungssystemen (Detailed Planning in Flexible Production Systems). Dissertation, RWTH Aachen University

  28. Tesoriero R, Tebar R, Gallud JA, Lozano MD, Penichet VMR (2010) Improving location awareness in indoor spaces using RFID technology. Expert Syst Appl 37(1):894–989

    Article  Google Scholar 

  29. Yamada T, Nakano R (1997) Genetic algorithms for job-shop scheduling problems. In: Proceedings of Modern Heuristic for Decision Support. London, pp 67-81

  30. Weller R (2002) Verfahren zum kurzfristigen Stoerfallmanagement fuer die flexible Werkstattsteuerung (Approahc for a Short-term Failure Management for Flexible Job Shop Control). Dissertation, University of Stuttgart

  31. Zaeh MF, Moeller N, Vogl W (2005) Symbiosis of changeable and virtual production the emperors new clothes or key factor for future success. Zaeh MF (ed) Proceedings of the 1st Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV 2005). Munich, pp 3–10

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Authors and Affiliations

  1. Institute for Machine Tools and Industrial Management (iwb), Technical University of Munich (TUM), Munich, Germany

    Michael Niehues, Matthias Blum, Ulrich Teschemacher & Gunther Reinhart

Authors
  1. Michael Niehues
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  2. Matthias Blum
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  3. Ulrich Teschemacher
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  4. Gunther Reinhart
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Correspondence to Ulrich Teschemacher.

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Niehues, M., Blum, M., Teschemacher, U. et al. Adaptive job shop control based on permanent order sequencing. Prod. Eng. Res. Devel. 12, 65–71 (2018). https://doi.org/10.1007/s11740-017-0780-1

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  • DOI: https://doi.org/10.1007/s11740-017-0780-1

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