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

Brian J. Galli and Fuwei Qiu
Additional contact information
Brian J. Galli: Hofstra University, USA
Fuwei Qiu: Hofstra University, China

International Journal of Applied Management Sciences and Engineering (IJAMSE), 2023, vol. 10, issue 1, 1-9

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.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAMSE.324609 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jamse0:v:10:y:2023:i:1:p:1-9

Access Statistics for this article

International Journal of Applied Management Sciences and Engineering (IJAMSE) is currently edited by Carolina Machado

More articles in International Journal of Applied Management Sciences and Engineering (IJAMSE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().