Identifying Effective Alternatives to Economic Dispatching with the Particle Swarm Optimization Algorithm Approach in the Oil Industry

Pilevari, Nazanin; Baghban Kohne Rouz, Alireza; Amiri, Ali Akbar; Sadat Hosseini Khajouei, Mohammad Hossein

doi:10.22050/pbr.2021.273166.1166

Document Type : Original Article

Authors

¹ Associate Professor, Department of Islamic Azad University, West Tehran Branch, Tehran, Iran, Email: pilevari.nazanin@wtiau.ac.ir

² Ph.D. Candidate, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University Tehran,Iran

https://doi.org/10.22050/pbr.2021.273166.1166

Abstract

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.

Keywords

20.1001.1.26454726.2021.5.1.5.9

Main Subjects

Oil and Gas Economics and Management

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Petroleum Business Review

Identifying Effective Alternatives to Economic Dispatching with the Particle Swarm Optimization Algorithm Approach in the Oil Industry

References

References

Volume 5, Issue 1 - Serial Number 14
January 2021
Pages 59-70

Identifying Effective Alternatives to Economic Dispatching with the Particle Swarm Optimization Algorithm Approach in the Oil Industry

References

References

Volume 5, Issue 1 - Serial Number 14January 2021Pages 59-70

Volume 5, Issue 1 - Serial Number 14
January 2021
Pages 59-70