• DocumentCode
    3372398
  • Title

    Key performance indicators for the evaluation of balanced lines

  • Author

    Marz, L.

  • Author_Institution
    LOM Innovation GmbH & Co. KG, Lindau, Germany
  • fYear
    2012
  • fDate
    9-12 Dec. 2012
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Sales and operations planning and production planning for vehicle production are carried out mainly with cascading planning processes. This paper focuses on planning of the final assembly of truck manufacturers. In this industrial sector, mixed-model assembly lines show very different capacity requirements according to the product because of high product variants and shifting product mixes. The main task of line balancing is to evenly utilize the line staff. Market requirements and process planning both influence the utilization of staff. Furthermore, peaks in capacity can be met by flexible use of employees. A system of key performance indicators for the evaluation of balanced lines in truck assembly is presented, where simulation software is necessary to include employee flexibility.
  • Keywords
    assembly planning; automobile manufacture; digital simulation; human resource management; labour resources; performance evaluation; process planning; production engineering computing; road vehicles; balanced lines evaluation; capacity requirements; cascading planning process; employee flexibility; final assembly planning; industrial sector; key performance indicators; line staff utilization; market requirements; mixed-model assembly lines; operations planning; process planning; product variants; production planning; sales planning; shifting product mixes; simulation software; truck assembly; truck manufacturers; vehicle production; Assembly; Marketing and sales; Materials; Personnel; Planning; Process planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2012 Winter
  • Conference_Location
    Berlin
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4673-4779-2
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2012.6464993
  • Filename
    6464993