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..

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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

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