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An Integrated Simulation Optimisation Decision Support Tool for Multi-Product Production Systems

Author

Listed:
  • Samira Alvandi
  • Wen Li
  • Sami Kara

Abstract

Over the past decades, the rising energy prices and imposing environmental regulations have motivated manufacturers to improve the energy efficiency of their manufacturing processes. Manufacturers need to also consider energy efficiency in addition to classical performance measures. The additional performance dimension (energy-related indicators) significantly increases the complexity of classical production planning problems (e.g. scheduling), already known as NP-hard problem).To overcome the inherited complexity, an integrated simulation-optimization framework is proposed. The proposed approach tackles scheduling problem in a multi-product/multi-machine manufacturing environment and optimizes several production objectives simultaneously. A case study is presented to demonstrate the applicability of the proposed approach in a real-life industrial facility.

Suggested Citation

  • Samira Alvandi & Wen Li & Sami Kara, 2017. "An Integrated Simulation Optimisation Decision Support Tool for Multi-Product Production Systems," Modern Applied Science, Canadian Center of Science and Education, vol. 11(6), pages 1-56, June.
    • Handle: RePEc:ibn:masjnl:v:11:y:2017:i:6:p:56
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    Cited by:

    1. Samira Alvandi, 2020. "Energy Efficiency Improvement through Optimal Batch Sizing in Job Shop," Modern Applied Science, Canadian Center of Science and Education, vol. 14(10), pages 1-6, October.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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