چكيده به لاتين
One of the challenges of project-oriented organizations in the construction industry is achieving a required level of quality while keeping the project budget in control. The focus of this study is the simultaneous management of many projects with an emphasis on quality. Therefore, several projects are considered, each with many activities, various modes, and shared suppliers. The suppliers supply the projects' raw materials, and a joint committee inspects the projects' quality. The projects, on the other hand, are independent of one another. This study presents a mixed-integer linear programming model for dual-objective planning. Its goal is to reduce supplier-related costs, such as buying, ordering, and transportation costs, as well as project execution costs and project delays while maximizing supplier quality, project execution, and inspection.Furthermore, this study investigates the topic of project scheduling in construction projects, specifically focusing on supplier priority. It explores applying multi-criteria decision-making methods based on quality criteria to handle this problem. This study introduces a novel approach to project execution that considers many degrees of activity quality, each associated with different costs. Additionally, project inspection is conducted depending on the specific quality level of each activity. The Augmented Epsilon Constraint Method, a method employed for solving multi-objective problems, is used for solving the model. The findings illustrate the correlation between the cost and quality level of activities, the selection of suppliers based on required standards, and the consideration of project completion time related to quality during project execution.
