UPlanIT: an evolutionary based production planning and scheduling system.

MALEKI-DIZAJI, Saeedeh, NYONGESA, Henry O. and KHAZAEI, Babak (2008). UPlanIT: an evolutionary based production planning and scheduling system. In: Nature Inspired Cooperative Strategies for Optimization (NICSO 2007). Studies in Computational Intelligence, 129 . Springer, 443-452..

Full text not available from this repository.
Link to published version:: https://doi.org/10.1007/978-3-540-78987-1_40
Related URLs:

    Abstract

    In this paper we discuss an optimization approach to a real-world production planning problem. Based on raw data from instances of production planning we have developed an architecture for optimization of production planning and scheduling for manufacturing lines in small/medium enterprises (SME). The approach referred to as “Unified Planning using Intelligent Techniques”-abbreviated UPlanIT is based on genetic algorithms (GA). The schedules are constructed using rules in which the priorities are determined by the GA, using a procedure that generates parameterized activities. The approach is tested on a set of real standard production instances. The results validate the effectiveness of the proposed algorithm.

    Item Type: Book Section
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1007/978-3-540-78987-1_40
    Page Range: 443-452.
    Depositing User: Helen Garner
    Date Deposited: 07 Jun 2011 11:17
    Last Modified: 09 Nov 2016 16:04
    URI: http://shura.shu.ac.uk/id/eprint/3684

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics