
A structural system carries all loads acting on the building and transfers them effectively to the soil through the foundation. Since it is the essential component of a building, selecting the most appropriate structural system is one of the critical decisions in the structural design. The design team, which consists of engineers and architects, is responsible for determining the structural system that will satisfy the owner's and end user's needs as well as the legal requirements. Due to the fact that a number of compromising and conflicting criteria may affect the structural system selection process, it is a difficult task and it should be considered as a multi-attribute-decision-making (MADM) problem. The main objective of this study is to provide the design teams with a MADM approach that will assist them in selecting the most appropriate structural system in a more objective and systematic manner. In the proposed approach, analytic hierarchy process (AHP) is used to compute the weights of the criteria and Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is employed to rank the structural system alternatives. In order to demonstrate how the proposed can be applied in a real life problem, the structural system of a housing project in Istanbul, Turkey is selected via this approach. The findings of the model were discussed with the decision making team in the studied project and they stated that the proposed approach could be easily employed as a guideline in selecting the most appropriate structural system from the managerial viewpoint. This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018 (Polat et al., 2018).
Artificial intelligence, Environmental Decision Making, Component (thermodynamics), Social Sciences, Group Decision Making, Multi-Criteria Decision Making, Management Science and Operations Research, Operations research, Decision Sciences, Systems engineering, Task (project management), Selection (genetic algorithm), Engineering, FOS: Mathematics, Business, Civil engineering, Order (exchange), Analytic hierarchy process, Physics, Structural system, Computer science, Process (computing), Management science, Operating system, Rank (graph theory), Combinatorics, Thermodynamics, Mathematics, FOS: Civil engineering, Finance
Artificial intelligence, Environmental Decision Making, Component (thermodynamics), Social Sciences, Group Decision Making, Multi-Criteria Decision Making, Management Science and Operations Research, Operations research, Decision Sciences, Systems engineering, Task (project management), Selection (genetic algorithm), Engineering, FOS: Mathematics, Business, Civil engineering, Order (exchange), Analytic hierarchy process, Physics, Structural system, Computer science, Process (computing), Management science, Operating system, Rank (graph theory), Combinatorics, Thermodynamics, Mathematics, FOS: Civil engineering, Finance
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
