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Framework for simulation software selection

Author

Listed:
  • Luca Fumagalli
  • Adalberto Polenghi
  • Elisa Negri
  • Irene Roda

Abstract

In the last years, the selection of the most suitable simulation software to correctly face industrial problems has become vital for companies. The choice should be made among several possibilities and some companies, especially SMEs, may not have the appropriate tools. Moreover, a change of perspective is detected in industry: the technological evolution has shifted the problem from the “best-ever” solution identification, independently from the goals, to the usability of the software, in function of the company's objectives. In this context, technicians and managers act as decision-makers, not only as receivers. The present work proposes an update of the criteria used for evaluating the most appropriate simulation software among different options. Based on that, an AHP-based evaluation framework is defined to support the selection process to face the industrial problem. The proposed methodology has been tested in an industrial case and its effectiveness has been proven.

Suggested Citation

  • Luca Fumagalli & Adalberto Polenghi & Elisa Negri & Irene Roda, 2019. "Framework for simulation software selection," Journal of Simulation, Taylor & Francis Journals, vol. 13(4), pages 286-303, October.
    • Handle: RePEc:taf:tjsmxx:v:13:y:2019:i:4:p:286-303
    DOI: 10.1080/17477778.2019.1598782
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    Cited by:

    1. Das, Saikat & Bose, Indranil & Sarkar, Uttam Kumar, 2023. "Predicting the outbreak of epidemics using a network-based approach," European Journal of Operational Research, Elsevier, vol. 309(2), pages 819-831.
    2. Clarissa Amico & Roberto Cigolini, 2024. "Improving port supply chain through blockchain-based bills of lading: a quantitative approach and a case study," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(1), pages 74-104, March.
    3. Säwén, Toivo & Sasic Kalagasidis, Angela & Hollberg, Alexander, 2024. "Critical perspectives on life cycle building performance assessment tool reviews," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).

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