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Showing 2 results for Project Scheduling
R. Sadeghian,
Volume 11, Issue 2 (3-2023)
Abstract
Nowadays, the project scheduling problem is one of the most common issues in project control and planning, especially the time-cost trade-off problem. In this paper, a bi-objective problem is presented to minimize the cost and makespan simultaneously. Besides the common constraints in literature, it is assumed some renewable resources are hired. Each of them has a specific access time and deadline; they cannot be used before the access time but can be used after the deadline due to the cost of delay penalty. The project costs consist of direct costs, indirect costs, and tardiness penalty cost of renewable resources. Because of the uncertainty, the project times are considered as fuzzy numbers. Due to the NP-Hard nature of these problems, the Tabu search algorithm is used to solve them. The results are also compared with the genetic algorithm to check the quality of answers.
M. A. Mousavi, M. Allahgholizadeh Azari, S. Tayaran,
Volume 12, Issue 1 (1-2024)
Abstract
We aimed to develop a mathematical method for planning, scheduling and increasing the productivity of projects with multiple goals, including reducing project time, resources, and negative cash flows, increasing floatiness of activities, and responding to the project's needs by considering various stakeholders and objectives. As such problems are NP-hard, particle swarm optimization was used to solve the multi-objective mathematical model. Then, the algorithm function was evaluated by changing the value of the parameters. We are looking for the use of multi-objective models for planning projects, which allow for planning each activity in different modes and functions using multiple objectives, enables project managers to implement their projects by considering various priorities. Based on previous studies on project schedules, it seems that most of them focus on reducing time and cost; nevertheless, this study intended to investigate issues like various operational modes of each activity, optimal and in-time allocation of resources, and to increase floatiness of activities.
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