Loughborough University
Browse
jcien.19.pdf (2.12 MB)

Modularisation and offsite in engineering construction: an early decision-support tool

Download (2.12 MB)
journal contribution
posted on 2019-07-05, 08:43 authored by Chris GoodierChris Goodier, Alistair Gibb, Mauro Mancini, Christoph Turck, Osman Gjepali, Edwin Daniels
Modularisation and offsite manufacture are increasing in the engineering construction sector. Decision-support tools for determining a project’s suitability for offsite modular construction are currently limited or outdated, leading to decisions being based mainly around capital cost, experience or intuition. This paper reports on the development of a robust, empirically-based decision-support tool for decision makers and clients. A mixed-method methodology was conducted involving engineering construction clients, contractors, consultants and suppliers from all over Europe, after which the tool was developed, piloted and validated with practicing engineers. It is the first globally-applicable tool enabling informed and auditable decisions on using an offsite modular approach for project delivery.

Funding

The authors would like to thank the ECI for part-funding this research, in particular the members of the ECI modularisation task force.

History

School

  • Architecture, Building and Civil Engineering

Published in

Proceedings of the Institution of Civil Engineers - Civil Engineering

Volume

172

Issue

6

Pages

3 - 14

Citation

GOODIER, C.I. ... et al., 2019. Modularisation and offsite in engineering construction: an early decision-support tool. Proceedings of the Institution of Civil Engineers - Civil Engineering, 172 (6), pp.3-14.

Publisher

© ICE Publishing

Version

  • AM (Accepted Manuscript)

Publisher statement

This paper was accepted for publication in the journal Proceedings of the Institution of Civil Engineers - Civil Engineering and the definitive published version is available at https://doi.org/10.1680/jcien.19.00015.

Acceptance date

2019-06-18

Publication date

2019-09-20

ISSN

0965-089X

eISSN

1751-7672

Language

  • en

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC