مهيار غرقي

In this dissertation, the multi-mode resource-constrained multi-project scheduling problem (MMRCMPSP) considering costs, supply management, an‎d sustainable approach in the construction industry under uncertain conditions have been investigated using evidence theory to mathematical modeling an‎d solving by multi-objective optimization algorithms. In this regard, a multi-objective mathematical model has been proposed, in which the first objective function aims to maximize a weighted selec‎tion of projects based on economic, environmental, social, technical, organizational, an‎d competitive factors; the second objective function is focused to maximizing profit, an‎d the third objective function is aimed to minimizing the risk of supply management. Moreover, various components such as interest rates, carbon penalties, an‎d other implementation limitations an‎d additional constraints have also been considered in the modeling an‎d mathematical relations to improve the modelʹs performance an‎d make it more relevant to real-world conditions an‎d connected issues, leading to better practical applications. In the mathematical modeling adopted, the processing time of project activities has been considered uncertain, an‎d the evidence theory has been utilized. This method can provide a flexible an‎d rational approach based on evidence an‎d knowledge in the face of uncertainty. In addition, to solve the proposed multi-objective mathematical model, metaheuristic optimization algorithms such as the whale optimization algorithm (WOA) an‎d the differential evolution (DE) algorithm based on the Pareto archive have been used, an‎d for eva‎luating the results, the non-dominated sorting genetic algorithm II (NSGA-II) has also been employed. Furthermore, the results have been compared based on multi-objective eva‎luation criteria such as quality metric (QM), spacing metric (SM), an‎d diversity metric (DM). It is worth noting that to investigate the performance an‎d application of the proposed model, multiple eva‎luations have been conducted on sample problems with different dimensions, as well as case studies on construction projects by a contracting company. In this regard, the answers obtained from solving the model using the proposed multi-objective optimization algorithms were better an‎d superior to the NSGA-II algorithm an‎d had a more favorable performance. Generally, the findings derived from the case studies indicate that the utilization of the proposed integrated multi-objective mathematical model can lead to an improvement of approximately 10% in terms of financial an‎d cost reduction, an‎d about 16% in terms of implementation time an‎d mitigation of project delays. Accordingly, the application of this model has been demonstrated to be beneficial an‎d effective for management an‎d scheduling of multi-mode resource-constrained multi-project problems, particularly within the construction industry, contributing to the attainment of an optimal operational state aligned with the aforementioned desired objectives.

زمان‌بندي و مديريت پروژه , مدل‌سازي و بهينه‌سازي چندهدفه , توسعه پايدار , عدم قطعيت و تئوري شواهد , صنعت ساخت

Project scheduling an‎d management , Multi-objective modeling an‎d optimization , Sustainable development , Uncertainty an‎d evidence theory , Construction industry

Mahyar Ghoroqi

Dr. Parviz Ghoddousi - Dr. Ahmad Makui