Integrering av BIM och Bygglogistiksystem: En metodutveckling för informationsåterföring

Introduction The study investigates how to integrate a BIM model with a logistics system to increase traceability and Circular Economy in the construction industry. The study is carried out with the company AFRY in Gothenburg. The focus of this study is data about different materials and what benefits it can bring to different parts of the construction industry to know what is built into the building to increase the traceability and Circular Economy. Method The method used in this study was a mixed method where the study combined qualitative and quantitative approaches to obtain a more comprehensive picture. The data collection techniques chosen were workshops with key personnel from the project that the work was a part of, semi-structured interviews with respondents from different parts of the construction process, and a scenario analysis testing whether data feedback was possible. Results The empirical study includes 12 interviews, 2 workshops and a scenario analysis. The interviews provide a picture of what the industry looks like today and how to implement the concept of data re-entry. The workshops are held with key people where a more business-like model is developed to bring the concept to life. Finally, the scenario analysis shows how to re-enter data from a logistics system into a BIM model. Analysis The empirical evidence is analysed and contrasted with the collected theory, where a clear connection can be seen between some previous research and the collected theory. The analysis also presents the parts where theory and empirical evidence do not agree. The empirical evidence and theory are analysed according to the four research questions of the study. Discussion The discussion like the analysis pits the different parts against each other in a discursive text where the author's position on the empirical evidence and previous research is included. During this chapter, the purpose of the study, data quality, the ITO dimensions and how long the implementation of the data return may take are discussed. Keywords BIM, Construction industry, Data return, Digital tools, Logistics systems, Implementation

Publication Details

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KTH Publication Database DiVA (KTH Royal Institute of Technology)
Published
2025-01-01
Primary Topic
BIM and Construction Integration
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article

Integrering av BIM och Bygglogistiksystem: En metodutveckling för informationsåterföring

KTH Publication Database DiVA (KTH Royal Institute of Technology)
BIM and Construction Integration
article

Integrering av BIM och Bygglogistiksystem: En metodutveckling för informationsåterföring

article en

Abstract

Introduction The study investigates how to integrate a BIM model with a logistics system to increase traceability and Circular Economy in the construction industry. The study is carried out with the company AFRY in Gothenburg. The focus of this study is data about different materials and what benefits it can bring to different parts of the construction industry to know what is built into the building to increase the traceability and Circular Economy. Method The method used in this study was a mixed method where the study combined qualitative and quantitative approaches to obtain a more comprehensive picture. The data collection techniques chosen were workshops with key personnel from the project that the work was a part of, semi-structured interviews with respondents from different parts of the construction process, and a scenario analysis testing whether data feedback was possible. Results The empirical study includes 12 interviews, 2 workshops and a scenario analysis. The interviews provide a picture of what the industry looks like today and how to implement the concept of data re-entry. The workshops are held with key people where a more business-like model is developed to bring the concept to life. Finally, the scenario analysis shows how to re-enter data from a logistics system into a BIM model. Analysis The empirical evidence is analysed and contrasted with the collected theory, where a clear connection can be seen between some previous research and the collected theory. The analysis also presents the parts where theory and empirical evidence do not agree. The empirical evidence and theory are analysed according to the four research questions of the study. Discussion The discussion like the analysis pits the different parts against each other in a discursive text where the author's position on the empirical evidence and previous research is included. During this chapter, the purpose of the study, data quality, the ITO dimensions and how long the implementation of the data return may take are discussed. Keywords BIM, Construction industry, Data return, Digital tools, Logistics systems, Implementation

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 50%
BIM and Construction Integration
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