A robust expert decision support system for making real estate location decisions, a case of investor-developer-user organization in industry 4.0 era. Issue 1 (17th November 2019)

• Record Type: Journal Article
• Authors: Mosallaeipour, Sam; Shavarani, Seyed Mahdi; Steens, Charlotte; Eros, Adrienn
• Is Part Of: Journal of corporate real estate. Volume 22:Issue 1(2020)
• Page Start: 21
• Page End: 47
• Publication Date: 2019-11-17
• Subjects: AHP -- Strategic decision-making -- Asset management -- Investment efficiency -- Investment appraisal -- Expert decision support systems -- Facility and real estate management (FREM) -- Location analysis -- Multi-criteria decision-making -- Technological decision-making tools -- Real estate location decisions -- Real estate strategy -- Real estate projects -- Investment efficiency; Corporations -- Real estate investments -- Periodicals; 332.6324
• DOI: 10.1108/JCRE-03-2019-0019
• Languages: English
• ISSNs: 1463-001X

Abstract

Abstract : Purpose: This paper aims to introduce a practical expert decision support system (EDSS) for performing location analysis and making real estate location decisions in the organization's facility and real estate management (FREM) department in presence of several decision criteria, under risk and uncertainty. This tool is particularly useful for making strategic decisions in facility planning, portfolio management, investment appraisal, development project evaluations and deciding on usage possibilities in an unbiased, objective manner. Design/methodology/approach: The proposed EDSS uses fuzzy logic and uncertainty theory as two of the most useful tools to deal with uncertainties involved in the problem environment. The system performs an unbiased mathematical analysis on the input data provided by the decision-maker, using a combination of Analytical Hierarchy Process (AHP) and Global Criterion Method; determines a suitable compromise level between the objectives; and delivers a set of locations that complies best with the outlined desires of the management as the final solution. The application of the system is tested on a real case and has delivered satisfactory results. Findings: The proposed EDSS took the defined objectives, the list of alternative locations, and their attributes as the required input for problem-solving, and used a combination of AHP, Possibilistic approach, and global criterion method to solve the problem. The delivered outcome was a set of proper locations with the right attributes to meet all objectives of the organization at a satisfactory level, confirmed by the problem owners. Originality/value: The application of such a system with such a degree of preciseness and complexity has been very limited in the literature. The system designed in this study is an Industry 4.0 decision making tool. For designing this system several body of knowledge are used. The present study is particularly useful for making strategic decisions in the domains of portfolio management, investment appraisal, project development evaluations and deciding on property usage possibilities. The proposed EDSS takes the information provided by the experts in the field (through qualitative and quantitative data collecting) as the inputs and operates as an objective decision-making tool using several bodies of knowledge considering the trends and developments in the world of FREM. The strong scientific method used in the core of the proposed EDSS guarantees a highly accurate result.