Abstract
This paper develops a model, introduced in software, namely Multi-Criteria Decision-Making Model (MCDMM). The model helps decision makers selecting the most suitable alternative based on the customer requirements and preferences. Analytic Hierarchy Process (AHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) form a package that covers most available data types in construction projects. In MCDMM, AHP produces criteria relative weights according to their influence on the discussed problem, while Fuzzy TOPSIS is applied to rank the available alternatives. The model consists of two modules, first one uses AHP only to deal with precise, qualitative alongside quantitative data, while the other module combines AHP with Fuzzy TOPSIS due to the importance of linguistic variables to cover undocumented data. MCDMM is verified using two real case studies. The model is applied to a real case project for constructing solar power plants at Saudi Arabia. A decision required to select the most suitable surveying technique for producing Digital Terrain Model (DTM) among four alternatives (Total Station, Remote Sensing, Photogrammetry, and Global Positioning Systems). This issue is studied and key points are identified for prioritizing among them. Total Station is selected based on the model results.
Highlights
There are always several alternative behavior patterns to select from them, which can be the best solution to a certain problem
Civil Engineering Projects (CEPs) are characterized by specific features and conflicting criteria through all stages of the projects, as well as, they need improving the quality and minimizing costs
CEPs, with all their aspects, face the problem of making a decision to pick up the best alternative from a set, based on various criteria and factors affecting the process
Summary
There are always several alternative behavior patterns to select from them, which can be the best solution to a certain problem. Decision Making (DM) is to make a selection among the alternative behavior patterns to reach a goal and to fulfill a purpose (Forman & Selly, 2001). Multi-Criteria Decision-Making (MCDM) in CEPs is a complicated task due to nature of conflicting between different alternatives and criteria. DM techniques cover many problems associated to CEPs such as selecting the contractors, outsourcing consultancy, material suppliers, and design alternatives. MCDM can be regarded obviously in the aspects of material selection (Jahan, Edwards, & Bahraminasab, 2016), construction and demolition wastes management (Zyoud, Kaufmann, Shaheen, Samhan, & Fuchs-Hanusch, 2016), selecting ventilation system for buildings (Alwetaishi, Gadi, & Issa, 2017), and picking the best technique of repairing and strengthening of different construction elements (Hassan & Issa, 2015). Besides other none neglecting aspects include planning and construction of infrastructure (El Chanati, El-Abbasy, Mosleh, & Senouci, 2016), and materials suppliers selection (Bruno, Esposito, Genovese, & Simpson, 2016; Plebankiewicz & Kubek, 2016)
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