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.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: | 18 Mar 2021 22:30 |
URI: | https://shura.shu.ac.uk/id/eprint/3684 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year