UPlanIT: An Evolutionary Based Production Planning and Scheduling System

  • Saeedeh Maleki-Dizaji
  • Henry Nyongesa
  • Babak Khazaei

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Saeedeh Maleki-Dizaji
    • 1
  • Henry Nyongesa
    • 2
  • Babak Khazaei
    • 3
  1. 1.Computer Science DepartmentManchester UniversityManchester
  2. 2.Department of Computer ScienceUniversity of BotswanaGaborone
  3. 3.Faculty of Arts, Computing, Engineering and SciencesSheffield Hallam UniversitySheffield

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