• DocumentCode
    2853462
  • Title

    Adaptive scheduling by means of product-specific emergence data

  • Author

    Reinhart, Gunther ; Geiger, Florian

  • Author_Institution
    Inst. for Machine Tools & Ind. Manage., Tech. Univ. Munchen, Munich, Germany
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    347
  • Lastpage
    351
  • Abstract
    The order-driven single and small batch production is characterized by a high variety and the demand for short delivery times. Therefore, a robust production planning is essential. Usually the master data, which is used for scheduling, does not represent the current conditions in the shop floor, due to its static nature. Thus the planning results are of poor quality. To counteract that, this article describes an approach that provides production-state-dependent master data enabled by the RFID (Radio Frequency Identification) technology.
  • Keywords
    batch production systems; flow shop scheduling; production engineering computing; production planning; radiofrequency identification; RFID technology; adaptive scheduling; order-driven single batch production; product-specific emergence data; production-state-dependent master data; radio frequency identification; robust production planning; shop floor; Adaptive scheduling; Job shop scheduling; Manufacturing; Planning; Radiofrequency identification; Throughput; Production Planning and Control (PPC); master data; scheduling; smart product;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6117936
  • Filename
    6117936