Abstract

Project scheduling is an important part of construction project planning. Resource leveling is the process used within project scheduling to reduce fluctuations in resource usage over the period of project implementation. These fluctuations frequently create the untenable requirement of regularly hiring and firing temporary staff resources to meet short-term project needs. Construction project decision makers currently rely on experience-based methods to manage fluctuations. However, these methods lack consistency and may result in unnecessary wastage of resources or costly schedule overruns. This research introduces a novel optimization model called the Fuzzy Clustering Chaotic-based Differential Evolution for solving multiple resources leveling in the multiple projects scheduling problem (FCDE-MRLMP). The novel Fuzzy Clustering Chaotic-based Differential Evolution (FCDE) algorithm integrates fuzzy c-means clustering and chaotic techniques into the original Differential Evolution (DE) algorithm to handle complex optimization problems. The chaotic technique prevents the optimization algorithm from converging prematurely. The fuzzy c-means clustering technique acts as several multi-parent crossover operators in order to utilize population information efficiently and enhance convergence efficiency. Experiments run indicate that the proposed model obtains optimal results more reliably and efficiently than the benchmark algorithms considered. The proposed optimization model is a promising alternative approach to assist project managers to handle resource-leveling project scheduling problems effectively.

Abstract

Sustainable development is Qatar's main national goal. The fact that Qatar has secured the World Cup bid for 2022 will make it the first Arab country to host the world cup. This honor and Qatar's plan to advance its development has led the state to start upgrading its entire transportation infrastructure. Qatar's commitment to sustainability and the state's upcoming investments in the transportation sector has led the authors to investigate current transportation sustainability assessment systems, which can be transferred to Qatar. A thorough literature review revealed that the current initiatives have a number of limitations that render them inapplicable to Qatar. This paper presents these findings and suggests the main features of a sustainability rating system applicable to Qatar. This will be the first step in developing the Qatar Transportation Sustainability Assessment System (QTS). Scopu