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Item type:Publication, A multi-objective dynamic optimization approach to project schedule management: a case study of a gas field construction(Springer Science+Business Media, 2021-12-18)In today's changing conditions, the random disturbances have caused complexity into the construction project management. In this study, a multi-objective approach is proposed to determine the size of the time buffers in engineering and construction projects. The problem is formulated as a two-stage stochastic programming model. In order to examine the efficiency of the model, the proposed method was compared to the classic and extended critical chain management approaches. The validation is performed using simulation experiments carried out in the benchmark data test and a real case of an engineering project. The numerical examples and case studies were presented to validate the proposed methodology. The results demonstrate the efficiency of the proposed multi-objective time buffering method in the actual situation. The outcomes indicate that the proposed robust buffer sizing method results in a more stable plan, as against the traditional methods. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An integrated decision support model based on BWM and Fuzzy-VIKOR techniques for contractor selection in construction projects(Multidisciplinary Digital Publishing Institute (MDPI), 2021-06-02)Sustainable development of any country to some extent depends on successful accomplishment of construction projects, particularly infrastructures. Contractors have a key role in the success of these projects. Hence, the selection of a competent contractor as a complicated and hard decision process has a vital importance in the destiny of any construction project. Contractor selection is in essence a multicriteria decision-making that ought to encompass so many aspects of the project and the client's requirements on one hand and the capabilities and past records of the contractors on the other hand. Failure in selecting a competent contractor may cause time and cost overruns; quality shortcomings; increasing in claims, disputes and change orders; and even failure of the project. In spite of deficiencies of selecting a contractor by the rule of “the lowest bid price”, it still prevails in many countries including Iran. In this paper, a new contractor selection model based on the best-worst method (BWM) and well-known Fuzzy-VIKOR techniques is proposed as a solution to overcome the deficiencies of the traditional “lowest bid price” rule. An illustrative example of a water channel construction project verified the applicability of the proposed model in practice. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance prediction of construction projects based on the causes of claims: a system dynamics approach(MDPI, 2022-04-01)Conflict in human relations is unavoidable; therefore, it can occur in construction projects that are full of many human relationships. These conflicts can lead to claims if interlocutors do not agree. The main result of the claims is the delay and overrun of costs in construction projects. Additionally, poor management of claims affects the success of construction projects and their budget and schedule. Moreover, controlling claims ensures the successful completion of construction projects and minimizes delays and disputes. This study sought to improve the project performance by ranking the causes of claims and examining their impacts on Key Performance Indicators (KPI) using the combined AHP-TOPSIS (Analytic Hierarchy Process-Technique for Order of Preference by Similarity to Ideal Solution) method. Given that construction projects are constantly evolving and becoming more complex and have many linear and nonlinear relationships and structures, these projects can be considered as a kind of system dynamics. The system dynamics have been used for nearly four decades to analyze and improve the performance of construction projects. This study attempted to provide a model with a system dynamics approach to predict the performance of construction projects based on the reasons for the claim. In this model, the most important performance indicators, interactions between them, and the relationship of these indicators with the reasons for claiming were simulated. The results showed that delays are the most important reasons for making claims, and they have a great impact on the KPIs such as scheduling, sustainability, customer satisfaction, quality, and team satisfaction, respectively. In the modeling and simulation discussion in this study, the proposed model simulated the dependencies between the KPIs of construction projects and their changes over time and provides a better understanding of how performance indicators interact with each other. Additionally, it can be used as a basis for simulating different management policies to find the best solution to prevent and correct the negative effects of poor performance. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Construction costs prediction based on a hybrid machine learning model with sustainable development considerations: A case study in city water supply system(RELX Group (Netherlands), 2024-01-01)