1. Introduction

Reliable techniques are necessary to manage construction project information flows as well as to reduce uncertainties and risks when solving technological and economic challenges in construction with effective decision support [2, 12, 24]. Analysing possibilities of application of automated design and information management [17], the need for delivering mutual information in a timely manner between all the responsible and competent participants, data archiving and working in a common area with a unified computer-aided design system tools is emphasized [1, 26, 27].

Building Information Modelling (BIM) is now globally considered to be a universal digital technology which is argued to have the potential to revolutionise information management in construction industry [1, 20]. A number of studies about researches in the area as well as BIM implementation can be found, but it is dominated by application to new buildings, while conversion of existing assets or reconstruction not yet widely supported [4, 27]. However, with regard to progressive ideas of sustainable development and sustainable construction, more attention should be given to redevelopment of abandoned assets instead of expanding new urban areas and erecting new buildings. Much attention is paid to redevelopment of urban areas, including problematic issues to be addressed, analysis of potential solutions and their social and economic efficiency justification [16].

It is claimed, that due to successful redevelopment the assets become more attractive to live or to invest [6, 14], produce economic and environmental savings [10, 18]. However, proper methods and tools are important to manage the information and to take the most effective solution [8, 13].

The solutions can be supported by different digital construction techniques [2, 17], but BIM can be considered to be the best technique ensuring the quality of project [1, 21, 26]. It is applicable in any project lifecycle phase and involves a lot of benefits both for new construction and existing assets [20, 27] to ensure project information and quality control.

Every solution needs to be evaluated in regard to a lot of technical, economic, social and environmental indicators, such as physical condition of load-bearing structures, historical and architectural value of the building or area, infrastructure, potential contamination of the territory, carbon emissions [13, 34]. Strategic solutions regarding redevelopment of existing assets usually should be evaluated with respect to sustainability, building heritage and modern demands [3, 5, 15, 23]. Therefore Multiple Criteria Decision Making (MCDM) can be useful 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 decision-making 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.

REFERENCES

1. ABANDA, F. H., C. VIDALAKIS, A. H. OTI, J. H. M. TAH, A Critical Analysis of Building Information Modelling Systems used in Construction Projects, Advances in Engineering Software, vol. 90, 2015, 183-201.
2. ARASHPOUR, M., R. WAKEFIELD, E. W. M. LEE, R. CHAN, M. REZA HOSSEINI, Analysis of Interacting Uncertainties in On-site and Off-site Activities: Implications for Hybrid Construction, Intl. Journal of Project Management, in press, 2016, pp. 1-10.
3. ASSIEGO DE LARRIVA, R., G. RODRÍGUEZ, J. LÓPEZ, M. RAUGEI, P. PALMER, A Decision-making LCA for Energy Refurbishment of Buildings: Conditions of Comfort, Energy and Buildings, vol. 70, 2014, pp. 333-342.
4. BARAZZETTI, L., F. BANFI, R. BRUMANA, G. GUSMEROLI, M. PREVITALI, G. SCHIANTARELLI, Cloud-to-BIM-to-FEM: Structural Simulation with Accurate Historic BIM from Laser Scans, Sim. Model. Practice and Theory, vol. 57, 2015, pp. 71-87.
5. BLAGOJEVIC, M. R., A. TUFEGDZIC, The New Technology Era Requirements and Sustainable Approach to Industrial Heritage Renewal, Energy and Buildings, vol. 115, 2016, pp. 148-153.
6. CHAN, A., E. CHEUNG, I. WONG, Revitalizing Industrial Buildings in Hong Kong – A Case Review, Sustainable Cities and Society, vol. 15, 2015, pp. 57-63.
7. CHEN, M. F., G. H. TZENG, Combining Grey Relation and TOPSIS Concepts for Selecting an Expatriate Host Country, Mathematical and Computer Modelling, vol. 40(13), 2004, pp. 1473-1490.