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Production Engineering
Erschienen in: Production Engineering 3-4/2023

23.11.2022 | Production Management

The 3Es framework: a project framework for simulating costs for engineering efforts under uncertainties in the healthcare solution industry

verfasst von: Zaza Nadja Lee Hansen, Niels Erik Hansen, Michael Bayer, Anders Haug, Lars Hvam

Erschienen in: Production Engineering | Ausgabe 3-4/2023

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Abstract

Estimating costs associated with engineering projects accurately is vital for engineering companies to stay competitive and price their projects correctly. This is especially important in the healthcare industry, which is highly regulated and competitive and has high demands for quality and price competitiveness. This is because many countries have a healthcare sector that is partly or fully funded by the government. However, the significance of engineering costs is often underestimated, leading to cost overruns and resource mismatches. Therefore, this paper contributes to theory and practice by developing a novel framework to estimate the costs of engineering projects under uncertainties, which we name the Engineering-Effort-Estimation framework (3Es-framework). This framework has been tested in a case study in which the COSYSMO-Xpert tool was developed to simulate uncertainties of engineering effort estimates. This tool is an extension of the established Constructive Systems Engineering Cost Model (COSYSMO), which is widely used by practitioners in this field. The COSYSMO-Xpert tool is an extension of COSYSMO, adding expert insights to that model. After having used the 3Es-framework and the COSYSMO-Xpert tool for one year, the case company increased their average accuracy to a ± 5% ratio from a previous average underestimation in the range of 15–20%.
Vorheriger Artikel Planning and picking in small warehouses under industry-relevant constraints
Nächster Artikel Concept for modeling and quantitative evaluation of life cycle dynamics in factory systems

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Metadaten
Titel
The 3Es framework: a project framework for simulating costs for engineering efforts under uncertainties in the healthcare solution industry
verfasst von
Zaza Nadja Lee Hansen
Niels Erik Hansen
Michael Bayer
Anders Haug
Lars Hvam
Publikationsdatum
23.11.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Production Engineering / Ausgabe 3-4/2023
Print ISSN: 0944-6524
Elektronische ISSN: 1863-7353
DOI
https://doi.org/10.1007/s11740-022-01172-5

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