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Approximating Throughput of Small Production Lines Using Genetic Programming

In: Operational Research in Business and Economics

Author

Listed:
  • Konstantinos Boulas

    (University of the Aegean)

  • Georgios Dounias

    (University of the Aegean)

  • Chrissoleon Papadopoulos

    (Aristotle University of Thessaloniki)

Abstract

Genetic Programming (GP) has been used in a variety of fields to solve complicated problems. This paper shows that GP can be applied in the domain of serial production systems for acquiring useful measurements and line characteristics such as throughput. Extensive experimentation has been performed in order to set up the genetic programming implementation and to deal with problems like code bloat or over fitting. We improve previous work on estimation of throughput for three stages and present a formula for the estimation of throughput of production lines with four stations. Further work is needed, but so far, results are encouraging.

Suggested Citation

  • Konstantinos Boulas & Georgios Dounias & Chrissoleon Papadopoulos, 2017. "Approximating Throughput of Small Production Lines Using Genetic Programming," Springer Proceedings in Business and Economics, in: Evangelos Grigoroudis & Michael Doumpos (ed.), Operational Research in Business and Economics, pages 185-204, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-33003-7_9
    DOI: 10.1007/978-3-319-33003-7_9
    as

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