Iterative Optimization-Based Simulation: A Decision Support Tool for Job Release

  • Nuno O. Fernandes
  • Mohammad Dehghanimohammadabadi
  • S. Carmo Silva
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)

Abstract

Job release is an essential scheduling function and a core part of every production planning and control system. Essentially, job release has to do with the timing and the jobs to release on to the shop floor, in such way that, a balanced and restricted workload is achieved. In this paper, an Iterative Optimization-based Simulation (IOS) decision support tool is proposed for job release. This is in line with Industry 4.0 paradigm, allowing the autonomous selection of jobs based on the current shop floor situation. This decision support tool is implemented using SIMIO as a simulation manager, MATLAB as an optimization manager and MySQL as a database manager.

Keywords

Decision support system Load-based job release Simulation-optimization 

Notes

Acknowledgments

This work had the financial support of FCT - Fundação para a Ciência e Tecnologia of Portugal under the project PEst2015-2020: UID/CEC/00319/2013.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Nuno O. Fernandes
    • 1
    • 3
  • Mohammad Dehghanimohammadabadi
    • 2
  • S. Carmo Silva
    • 3
  1. 1.Escola Superior de TecnologiaInstituto Politécnico de Castelo BrancoCastelo BrancoPortugal
  2. 2.Department of Mechanical and Industrial EngineeringNortheastern UniversityBostonUSA
  3. 3.Department of Production and Systems, ALGORITMI Research UnitUniversity of MinhoBragaPortugal

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