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.
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:||Cultural Communication and Computing Research Institute > Communication and Computing Research Centre|
|Depositing User:||Helen Garner|
|Date Deposited:||07 Jun 2011 11:17|
|Last Modified:||09 Nov 2016 16:04|
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