Petroleum University of Technology Petroleum Business Review 2645-4726 5 1 2021 01 01 Identifying Effective Alternatives to Economic Dispatching with the Particle Swarm Optimization Algorithm Approach in the Oil Industry 59 70 129288 10.22050/pbr.2021.273166.1166 EN Nazanin Pilevari Associate Professor, Department of Islamic Azad University, West Tehran Branch, Tehran, Iran, Email: pilevari.nazanin@wtiau.ac.ir 0000-0002-0312-4231 Alireza Baghban Kohne Rouz Ph.D. Candidate, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University Tehran,Iran Ali Akbar Amiri Ph.D. Candidate, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University Tehran,Iran Mohammad Hossein Sadat Hosseini Khajouei Ph.D. Candidate, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University Tehran,Iran 0000-0001-9543-0780 Journal Article 2021 02 13 Today, management requires a new approach in the areas of production planning and operations process with a cost management approach. Organizations and industrial units to lead their lives, by recognizing the impact points of the challenges ahead and positive impact, guide and lead them to advance the goals of the organization. Economic dispatching with particle swarm optimization algorithm approach is an approach in the field of industrial units. Dispatching tries to determine the share of production capacity in a way that optimizes the overall performance of the system economically and improve system performance, including: production and process planning, supply and demand balance, cost management, productivity growth, optimal allocation of resources according to the capacity of tanks, formulation of production and operational strategies, the impact on the strategic vision document. In this research, an attempt has been made to perform economic dispatching with the approach of particle swarm optimization algorithm with hypothetical information to measure the feasibility of implementation and its impact on the overall performance of the system and production process and operations. https://pbr.put.ac.ir/article_129288_dfb1e1ac048afa677c2adfea5a80f375.pdf