Available online at www.CivileJournal.org Civil Engineering Journal (E-ISSN: 2476-3055; ISSN: 2676-6957) Vol. 9, No. 01, January, 2023 127 Assessment of a Decision-Making Model for Monitoring the Success of a Project for Smart Buildings Serag Amhaimedi 1* , Sepanta Naimi 2 , Sura Alsallami 3 1 Department of Civil Engineering, Altınbaş University, Istanbul, Turkey. Received 09 September 2022; Revised 23 November 2022; Accepted 11 December 2022; Published 01 January 2023 Abstract Objective: To express the usage of intelligent concepts in the architectural building construction field that are primarily concerned with reducing building energy use. Improved energy-saving methods and the use of environmentally friendly design principles are essential in this field. This type of managerial decision-making is necessary for the success of these types of projects. Methods: monitoring the performance of intelligent buildings use the cost variance (CV) and schedule variation as standard metrics to track the progress of a project based on the save energy concept. Also, this research conducted a comparative study on Building Information Modelling (BIM) and (MCDM) decision-making limitations as presented in the article. Analysis: the conventional technique, on the other hand, is unable to offer data on variance from typical performance levels. The main point based on Delphi results of construction cost variables has been observed 19 effective factors. Finding and Novelty: The RII observed that the most effective aspects of an intelligent building are the number of floors in the building, the kind of structural design, and the size of the shadow cast on the surface of the building. The Multi-Criteria Decision Maker (MCDM) observed significant differences in planned value (PV) and actual value (AC) results. In addition, as a result of the current approach, it is possible to track project costs and timelines more precisely. Keywords: Intelligent Building; Multi-Criteria Decision Maker; MCDM; MATLAB Code. 1. Introduction Nowadays, construction manufacturing is the world's second largest industry, which has been transformed in an optimal way in the last ten years. The main issue is based on construction, as it can be identified as a unique sector characterized by the intensity of capital employed as well as the variability of turnover over time [1, 2]. Sustainability infiltrates all societal practices, especially the construction industry, because of its substantial impact on the environment. Furthermore, the success of building projects ultimately depends greatly on how well they are executed. Moreover, the effectiveness of construction projects was examined in several earlier studies [3]. The project's performance has been assessed based on the time, money, and deliverables parameters. It is a high-quality project that gains the support of all its stakeholders and is executed successfully and effectively as a result of all of these aspects [4, 5]. The construction industry prioritizes effective risk management based on a management strategy. Moreover, multiple threats exist in the main design, which is associated with the subsequent stages of construction projects [6, 7]. In order to achieve the goal of project performance, project failure must be avoided. The fact that an intelligent or smart building has a reasonable investment, great energy management, and a comfortable and convenient atmosphere is one of its most crucial qualities [8]. A smart building's design and operation deviate from the standard by utilizing cutting-edge control systems and networked technology [9]. * Corresponding author: seragamhaimed@gmail.com http://dx.doi.org/10.28991/CEJ-2023-09-01-010 © 2023 by the authors. Licensee C.E.J, Tehran, Iran. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).