Abstract:The current paper analyses the application of Multiple Criteria Decision Making (MCDM) and Building Information Modelling (BIM) techniques for integrated information management when assessing redevelopment solutions of former industrial buildings with emphasis on sustainable development. The theoretical approach of complex decisionmaking model for asset redevelopment is proposed and practical case study of old equipment factory redevelopment is presented. Sixteen criteria combined in three groups as economic, environmental and technological indicators are analysed both with ranking of possible redevelopment alternatives of the building using Weighted Aggregated Sum Product Assessment method with grey attributes scores (WASPAS-G). The selection of the most rational redevelopment solution for analysed projects is also supported by BIM techniques and allows implementation of whole project life-cycle management strategy in real life.Keywords: information management, sustainable asset redevelopment, MCDM, WASPAS-G, BIM, building life cycle. 293useful for handling numerous information and for decision support [11,28,29]. Uncertainty of information and risk level are the largest in the beginning of construction project, while their influence decline to an acceptable level in the elaboration of the information in the course of the project, i.e. adjusting the data over the entire building lifecycle. Therefore, the most important is to manage and control the information at the beginning of a project and to select the most effective solution.Accordingly, the aim of the current research is to suggest application of MCDM and BIM techniques for integrated information management, when selecting and implementing the most effective sustainable asset redevelopment solution. Integrated decisionmaking model, emphasizing interconnections between the techniques, is presented in Chapter 2. Due to high level of uncertainty, using Weighted Aggregated Sum Product Assessment method with grey numbers is suggested. A case study of abandoned industrial building redevelopment, involving 3D modelling and multiple criteria evaluation, is presented in Chapter 3.The outcomes of the study revealed that the suggested information management and decision-making model is a reliable technique for project selection and management in uncertain environment. The objectives of the study were effectively attained by determining the priority order of the analysed asset redevelopment solutions and making it possible to implement the selected project using Digital Construction techniques. Methodology for Evaluation of Asset Redevelopment Solutions Asset management decision-making using MCDM and BIM techniquesThis specific subtopic of the implementation of new Digital Construction techniques (like geospatial GIS, 3D Laser Scan and BIM) was found as new research field partially analysed in some scientific works [1,15]. The best practice, knowledge, experience and "knowhow" [26,27] leads world to new approach of connecting traditional survey methods with ...
With the growth of information technologies in the field of construction industry, the concept of CAD (Computer Aided Design), which denotes just design operations using a computer acquires a new meaning and changes the contents lightening design process based on product modelling and further numerical simulation construction process and facility managing. New definitions as Building Information Modelling (BIM) and Product Lifecycle Management (PLM) are more and more usable as the definition of a new way approaching the design and documentation managing of building projects. The presented computer aided design technology based on the concept of graphical ‐ information modeling of a building, is combined with resource demand calculations, comparison of alternatives and determination of duration of all the stages of investment project life. The software based on this combined 4D PLM model is to be created as a means to manage effectively the investment project, starting from planning, designing, economical calculations, construction and afterwards to manage the finished building and to utilize it.
A balance (symmetry) between socio-cultural and socio-economic benefits as a part of the economic, social, and cultural development policy of each city and country should be assured when converting built heritage. To anticipate building conversion priorities and opportunities, modern technologies can be employed. However, currently the activity of reconstruction of heritage buildings is part of the construction domain wherein modern digital technologies have been the least ever applied. Therefore, photogrammetry and the 3D modeling of existing heritage buildings was suggested. A case study of Sapieha Palace, built in the Baroque style in 1689–1691 in Vilnius, Lithuania was explored in this research. The applied technologies and software (Agisoft Photoscan, Autodesk ReCap and Autodesk Revit) allowed for the creation of a high quality and accurate model involving both the textured exterior of the building and the interior layout. In addition, the valuable features of a building were identified and marked in a three-dimensional digital model. Based on the model, the authors formulated possible conversion alternatives of the building and identified the associated decision-making criteria, as well as determined their relative significance by an expert survey method. The authors suggested the application of the multiple criteria decision making (MCDM) method under uncertainty, namely the rough weighted aggregated sum product assessment (WASPAS), for ranking alternatives according to multiple criteria. Therefore, the suggested integration of modern digital technologies and decision-making models helps to assure the rational conversion decision of built cultural heritage based on high accuracy data as well as contributing to the sustainable development of engineering processes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.