8 research outputs found
Multi-Objective Multi-mode Time-Cost Tradeoff modeling in Construction Projects Considering Productivity Improvement
In today's construction industry, poor performance often arises due to
various factors related to time, finances, and quality. These factors
frequently lead to project delays and resource losses, particularly in terms of
financial resources. This research addresses the Multimode Resource-Constrained
Project Scheduling Problem (MRCPSP), a real-world challenge that takes into
account the time value of money and project payment planning. In this context,
project activities exhibit discrete cost profiles under different execution
conditions and can be carried out in multiple ways. This paper aims to achieve
two primary objectives: minimizing the net present value of project costs and
project completion times while simultaneously improving the project's
productivity index. To accomplish this, a mathematical programming model based
on certain assumptions is proposed. Several test cases are designed, and they
are rigorously evaluated using the methodology outlined in this paper to
validate the modeling approach. Recognizing the NP-hard nature of this problem,
a multi-objective genetic algorithm capable of solving large-scale instances is
developed. Finally, the effectiveness of the proposed solution is assessed by
comparing it to the performance of the NSGA-II algorithm using well-established
efficiency metrics. Results demonstrate the superior performance of the
algorithm introduced in this study.Comment: 40 pages, 20 figures, 7 table
Z-trapezoidal risk assessment for multi-objective Hazmat routing model with time windows
Hazardous material (Hazmat) transportation is an inseparable section of the industry, despite its major financial and health risks. In order to optimize Hazmat transportation, a multi-objective Hazmat routing model with time windows is employed where the risk and distance are minimized. Due to the uncertainty of Hazmat transportation risk, a Z-number fuzzy approach is used to estimate the risk, in which the probability of occurrence and the severity is considered in the context of Z-information. The severity of the event includes the affected population and depends on the amount of transported Hazmat and the number of individuals affected by the explosion. To tackle the proposed model, the present paper utilizes a multi-objective hybrid genetic algorithm, the validity of which is tested by Solomonâs problems. Furthermore, the optimization of a case study concerning the Hazmat distribution in Iran is analyzed using the suggested approach to assess the efficiency of the proposed fuzzy problem in real-world applications
Investigating the effects of building information modeling capabilities on knowledge management areas in the construction industry
In order to manage a project seamlessly, there is a need to establish effective communication be-tween different departments and identify the risks in the project, determine the affected or influ-encing stakeholders, provide timely resources and logistics, and manage the available resources to make a framework for project implementation. In order to successfully complete the project it is also necessary to focus on approved costs, project completion time and quality within the specified range. Project management is the coordination among different parts of the project to achieve the main goals of the project and the stakeholdersâ expectations. To achieve this, there are several standards and one of the most recognized standards is the Project Management Knowledge Facility (PMBOK), which has come with the assistance of Project Managers for professional, targeted and comprehensive management. PMBOK is not just a guideline and a methodology for project management. Building Information Modeling (BIM), a project man-agement methodology has been adopted in recent years to design a project integrated as a 3-D information model, which adds all project information in the various phases of the project to a 3-D information model. The purpose of this research is to gather some date from experts using some questionnaires in the area of project management to build an information modeling. The study determines that each of the basic BIM capabilities had positive effects on different domains of PMBOK knowledge. Moreover, using SAW analysis, the study suggests that BIM had the greatest impact on project integration management, and finally, the BIM general process model is introduced to implement each of the areas of knowledge
Analyzing the Influence of Building Information Modeling (BIM) on Construction Project Management Areas of Knowledge: Using a Hybrid FANP-FVIKOR Approach
In order to manage a project with integrity, a cohesive communication is needed between its various sections; possible risks, identification of stakeholders, providing the necessary resources on time and managing their availability, focusing on the approved budget and satisfactory quality the project can be successfully done. In the recent year BIM has as new aspects to engineering and architecture, and has become an accepted platform for planning and executing construction projects and contributed to integration of various fields and. also, project management standards, such as PMBOK, have come to aid construction managers. Through the basic capacities of BIM, and questionnaires according to aspects of PMBOK, the present study tries to identify the superior effects of BIM on project management. Moreover, it seeks to recognize the most significant aspects of BIM application on project management. by employing the FANP-AVIKOR decision making method to prioritize the parameters of the collected results, the studyâs conclusion will indicate that almost all of PMBOK aspects equally benefit from using BIM; in addition, it will show that 3D BIM capacities, including clash detection, plan correction, are superior in comparison with 6D BIM and 7D BIM capacities
A new bi-objective green construction model for multi project supply chain management under uncertainty
The construction supply chain is presently the focus of considerable interest among numerous project-related businesses. Strong project management is essential for the effective completion of a project, since restricted budgets and time constraints are considered for each project. The research uses multi-objective linear programming to create a mathematical model of the building supply chain. The primary aims of the present investigation are to limit the expenses associated with logistics and to diminish the release of greenhouse gases caused by transportation. Given the reality of managing several projects concurrently, the model provided comprises a network of projects. Following the completion of each project, an inspection is arranged to assess its level of success. Estimating the costs of a project relies on several variables. In reality, there are always uncertainties highlighted in several studies about the uncertainty of cost and time parameters. This research incorporates many characteristics concurrently to simulate real-world settings and address the issue of uncertainty. The expression of uncertainty for all costs, activity length, inspection, supplier capacity, and resource demand are represented by triangular fuzzy numbers. Ultimately, the precision of the model's performance has been verified using a numerical illustration