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A Reflection Note on Applying Quantitative Decision-Making Approaches to Engineering Management

Author

Listed:
  • Brian J. Galli

    (Hofstra University, USA)

  • Fuwei Qiu

    (Hofstra University, China)

Abstract

Engineering management is a project management activity full of information composed of specific engineering technology and different social factors. The basic knowledge of quantitative decision-making technology and management economics is conducive to project decision-making, project investment, financing in engineering construction, and real estate. With the development of modern engineering management, quantitative decision-making has become increasingly important. This article discusses quantitative decision-making's significance, importance, and potential limitations in engineering management activities. Different quantitative decision tools have other effects on engineering management and technical management. This article also suggests that effective engineering management needs to combine scientific quantitative analysis methods and quantitative decision-making tools and comprehensively consider the engineering implementation background, the project's technical requirements, and resource sources.

Suggested Citation

  • Brian J. Galli & Fuwei Qiu, 2023. "A Reflection Note on Applying Quantitative Decision-Making Approaches to Engineering Management," International Journal of Applied Management Sciences and Engineering (IJAMSE), IGI Global, vol. 10(1), pages 1-9, January.
    • Handle: RePEc:igg:jamse0:v:10:y:2023:i:1:p:1-9
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    References listed on IDEAS

    as
    1. Brian J. Galli & Paola Andrea Hernandez Lopez, 2018. "Risks Management in Agile New Product Development Project Environments: A Review of Literature," International Journal of Risk and Contingency Management (IJRCM), IGI Global, vol. 7(4), pages 37-67, October.
    2. Brian J. Galli, 2018. "Application of System Engineering to Project Management: How to View Their Relationship," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 7(4), pages 76-97, October.
    3. Reem Al-Kadeem & Soheir Backar & Mohamed Eldardiry & Heba Haddad, 2017. "Review on Using System Dynamics in Designing Work Systems of Project Organizations: Product Development Process Case Study," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 6(2), pages 52-70, April.
    4. Brian J. Galli, 2020. "The Application of Systems Engineering to Project Management: A Review of Their Relationship," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 9(1), pages 81-106, January.
    5. Brian J. Galli, 2019. "Application of System Engineering to Project Management: How They Relate and Overlap," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 8(1), pages 79-93, January.
    6. Ulrich Lichtenthaler, 2020. "Agile Innovation: The Complementarity of Design Thinking and Lean Startup," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 11(1), pages 157-167, January.
    7. Mohsen Shafiei Nikabadi & Amir Hakaki, 2018. "A Dynamic Model of Effective Factors on Open Innovation in Manufacturing Small and Medium Sized Companies," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 7(1), pages 1-26, January.
    8. Brian J. Galli, 2019. "Thoughts of Using Economic Decision-Making to Systems Engineering and Systems Thinking: An Exploratory Study," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 8(3), pages 1-14, July.
    9. Ehsan Gale Gafi & Nikbakhsh Javadian, 2018. "A System Dynamics Model for Studying the Policies of Improvement of Chicken Industry Supply Chain," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 7(4), pages 20-37, October.
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