0
  • DE
  • EN
  • FR
  • Base de données et galerie internationale d'ouvrages d'art et du génie civil

Publicité

Challenges and drivers for data mining in the AEC sector

Auteur(s):



Médium: article de revue
Langue(s): anglais
Publié dans: Engineering, Construction and Architectural Management, , n. 11, v. 25
Page(s): 1436-1453
DOI: 10.1108/ecam-01-2018-0035
Abstrait:

Purpose

The purpose of this paper is to explore the current challenges and drivers for data mining in the AEC sector.

Design/methodology/approach

Following a comprehensive literature review, the data mining concept was investigated through a workshop with industry experts and academics.

Findings

The results showed that the key drivers for using data mining within the AEC sector is associated with the sustainability, process improvement, market intelligence, cost certainty and cost reduction, performance certainty and decision support systems agendas in the sector. As for the processes with the greatest potential for data mining application, design, construction, procurement, forensic analysis, sustainability and energy consumption and reuse of digital components were perceived as the main process areas. While the key challenges were perceived as being, data issues due to the fragmented nature of the construction process, the need for a cultural change, IT systems used in silos, skills requirements and having clearly defined business goals.

Originality/value

With the increasing abundance of data, business intelligence and analytics and its related concepts, data mining and Big Data have captured the attention of practitioners and academics for the last 20 years. On the other hand, and despite the growing amount of data in its business context, the AEC sector still lags behind in utilising those concepts in its end products and daily operations with limited research conducted to explore those issues at the sector level. This paper investigates the main opportunities and barriers for data mining in the AEC sector with a practical focus.

Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1108/ecam-01-2018-0035.
  • Informations
    sur cette fiche
  • Reference-ID
    10576696
  • Publié(e) le:
    26.02.2021
  • Modifié(e) le:
    26.02.2021
 
Structurae coopère avec
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine