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Adaptation d'un modèle de maturité BIM pour les prinicpaux intervenants de la chaîne d'approvisionnement en construction

Translated title of the thesis: Adaptation of a BIM maturity model for the main stakeholders of the supply chain in construction
  • Eva-Charlotte Forgues

Student thesis: Master's thesisMaster in Engineering: Construction Engineering

Abstract

The complex and fragmented construction industry causes a decentralisation of information and a weak collaboration between the stakeholders. Building Information Modelling (BIM) proposes, using a collaborative numerical platform, to centralise the information needed in order to increase collaboration between the participants. The efficiency and performance of construction project could be highly improved. However, the lack of vision and comprehension of BIM implementation issues brings an ad hoc adoption of the BIM technologies. To identify the best practices, a maturity model can illustrate the principal steps and share an implementation vision for the stakeholders at a firm scale. The principal objective of this research project is to develop a maturity model that represents the specificity of the principal fields of the supply chain (architect, engineer, contractor, subcontractor and manufacturer). The maturity model was based on a study of the existing BIM maturity models, of the five principal actors’ firms and of a BIM project. This research approach is inspired by the Design Science methodologies in order to create two artefacts. These artefacts are a protocol to generate maturity models and the maturity model itself. These artefacts were built following the van Aken (2004) method that propose a cyclic process to emerge new concepts. The data were collected from summer 2015 to winter 2016. The model is constructed based on the Organization BIM Assessment model (OBIMA). The new model, the Supply Chain BIM Maturity Matrix (SCBIMMM), uses five specifics indicators to represent the reality of each principal stakeholders. Thirteen new generic indicators were also added to the SCBIMMM. Empiric researches should validate and improve the model.
Date20 Jun 2017
Original languageFrench
Awarding Institution
  • École de technologie supérieure
SupervisorSylvie Doré (Supervisor) & Conrad Boton (Co-supervisor)

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