Cited by 33Multi-Criteria Decision MakingSimulation Techniques and ApplicationsDecision Support System Applications

Framework for simulation software selection

Open access
Fumagalli, Luca, Polenghi, Adalberto, Negri, Elisa, Roda, Irene·2019·Journal of Simulation

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.

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Crossref · 10.1080/17477778.2019.1598782

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  • The nine services listed by Tao et al. [21] can be grouped into categories including real-time state monitoring, energy consumption analysis, product failure analysis and prediction and product maintenance strategy, intelligent optimization and update, behaviour analysis and user operation guide, and product virtual maintenance and product virtual operations.

    “Considering the nine services listed by [21], they can be grouped in these categories:”

    From Review of digital twin applications in manufacturing (2019) · cites this paper as [21]

  • The DT is often used to offer specific analyses, related to the considered system and to its lifecycle, according to the services that a DT may offer, as listed by Tao et al [21].

    “The DT is often used to offer specific analyses, related to the considered system and to its lifecycle, according to the services that a DT may offer, as listed by Tao et al [21].”

    From Review of digital twin applications in manufacturing (2019) · cites this paper as [21]

  • Tao gives indications on what services a DT must offer, and all these services require the DT to be connected to the real system.

    “Tao gives indications on what are the services that a DT must offer, which are all requiring the DT to be connected to the real system [21].”

    From Review of digital twin applications in manufacturing (2019) · cites this paper as [21]

  • Only a limited set of services are offered in one single DT application, according to Tao's classification.

    “Only a limited set of services are offered in one single DT application, according to the classification made by Tao [21].”

    From Review of digital twin applications in manufacturing (2019) · cites this paper as [21]

  • The majority of proposed applications cannot fully offer the services from Table 1 by Tao, placing the related DT in the area of 'Digital Shadows', which do not reach full DT potentials.

    “The majority of proposed applications cannot fully offer the services from Table 1 by [21], and this places the related DT in the area of 'Digital Shadows', that do not reach the full DT potentials [18].”

    From Review of digital twin applications in manufacturing (2019) · cites this paper as [21]

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Authors
Fumagalli, L., Polenghi, A., Negri, E., & Roda, I.
Affiliations
Politecnico di Milano (IT)
Corresponding author
Polenghi, Adalberto
Venue
Journal of Simulation
Published
2019-04-16
Volume
13
Issue
4
Pages
286-303
ISSN
  • 1747-7778 (ISSN-L)
  • 1747-7786
OpenAlex
W2937817701
Cited by
33
References
54
Citations by year
2026: 1 · 2024: 2 · 2023: 7 · 2022: 5 · 2021: 6 · 2020: 9 · 2019: 3
FWCI
4.12
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Journal of Simulation (publishedVersion)
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
not funded
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
Keywords
simulation software selection, software evaluation criteria, analytic hierarchy process, decision support framework, industrial simulation, small and medium-sized enterprises, software usability, decision-makers

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