Constructability obstacles: an FCM-based dynamic modelling

Construction projects often suffer cost/time overruns and reduced quality due to design-construction mismatches and lack of constructability. This dynamic process involves evolving variables requiring quantified, non-binary assessment to optimise buildability. This study identifies key obstacles to constructability implementation and models their interdependencies and impacts on project time, cost, and quality using fuzzy cognitive mapping (FCM). Based on literature, expert input, and an Iranian megaproject case study, a three-layer FCM with 28 obstacles, 10 consequences, and 3 failure modes was developed. Scenario analysis revealed critical barriers: viewing constructability as a cost rather than investment, contractors’ unwillingness to engage in design, inflexible contracts, and limited contractor knowledge. Results enable targeted planning, early integration, and cultural shifts to reduce duplications, enhance effectiveness, and support constructability from initial design phases.

Authors

Institutions

Publication Details

Journal
Infrastructure Asset Management
Published
2025-12-17
DOI
https://doi.org/10.1680/jinam.23.00020
Citations
1
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Constructability obstacles: an FCM-based dynamic modelling

Ehsan Saghatforoush, Samereh Jadidoleslami, Ahad Zareravasan, Taha Mansouri
1 citations
Infrastructure Asset Management
Cognitive Science and Mapping
2.48
article

Constructability obstacles: an FCM-based dynamic modelling

Ehsan Saghatforoush, Samereh Jadidoleslami, Ahad Zareravasan, Taha Mansouri
article en
1 citations

Abstract

Construction projects often suffer cost/time overruns and reduced quality due to design-construction mismatches and lack of constructability. This dynamic process involves evolving variables requiring quantified, non-binary assessment to optimise buildability. This study identifies key obstacles to constructability implementation and models their interdependencies and impacts on project time, cost, and quality using fuzzy cognitive mapping (FCM). Based on literature, expert input, and an Iranian megaproject case study, a three-layer FCM with 28 obstacles, 10 consequences, and 3 failure modes was developed. Scenario analysis revealed critical barriers: viewing constructability as a cost rather than investment, contractors’ unwillingness to engage in design, inflexible contracts, and limited contractor knowledge. Results enable targeted planning, early integration, and cultural shifts to reduce duplications, enhance effectiveness, and support constructability from initial design phases.

Infrastructure Asset Management
University of the Witwatersrand (ZA), Masaryk University (CZ), University of Salford (GB)
Openalex Percentile: Top 8%
Cognitive Science and Mapping
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.