APPLICATION OF MATHEMATICAL PROGRAMMING TECHNIQUES IN PRODUCTION PLANNING INTHE PETROLEUM INDUSTRY

Amit Ghosh; Rohit Kumar Verma

doi:10.59367/nm2zq017

Authors

Amit Ghosh Research Scholar Department of Mathematics Bharti Vishwavidyalaya, Durg
Rohit Kumar Verma Associate Professor Department of Mathematics Bharti Vishwavidyalaya, Durg

DOI:

https://doi.org/10.59367/nm2zq017

Abstract

This review paper investigates the utilization of mathematical programming techniques in production planning, with a specific focus on their applications within the petroleum sector in India. The paper provides an overview of mathematical programming models, algorithms, and optimization methods commonly employed in production planning. It then examines the ways in which these techniques have been applied to address the unique challenges faced by the petroleum industry in India. The review emphasizes the significant contributions of mathematical programming in enhancing operational efficiency, cost optimization, and decision-making processes in the production planning of petroleum products. Finally, the paper identifies potential research directions and highlights the importance of continued advancements in this field for sustainable development in the petroleum sector.

References

Baraiya, R., Kapoor, R., & Gupta, N. (2021). Transportation cost optimization model for the petroleum industry. Proceedings of the International Conference on Industrial Engineering and Operations Management.

Joshi, B. C., & Singh, B. K. (2019). Framework for optimizing secondary logistics of automotive fuels in downstream petroleum industry in North India. International Journal of Scientific and Technology Research, 8(12).

Ahmed, S., & Gupta, H. (2018). Mathematical programming models for production planning: A comprehensive review. Computers & Industrial Engineering, 116, 326-355.

Balasubramanian, R., &Vidyarthi, N. (2020). Optimization of blending operations in the petroleum industry: A review. Journal of Petroleum Science and Engineering, 185, 106682.

Chopra, S., &Meindl, P. (2016). Supply chain management: Strategy, planning, and operation (6th ed.). Pearson.

Lai, G., & Cheong, T. (2019). Optimal blending of crude oil for refinery planning: A case study in India. Energy, 168, 126-140.

Moinuddin, M., & Mittal, M. (2017). Optimization of production planning in the petroleum sector using mathematical programming techniques. International Journal of Industrial and Systems Engineering, 26(2), 179-195.

Nasir, H., & Kumar, A. (2020). Mathematical programming models for capacity planning in the petroleum sector: A review. International Journal of Production Research, 58(11), 3331-3351.

Panigrahi, B., & Kumar, P. (2019). Mathematical programming approaches for supply chain optimization: A review. International Journal of Production Research, 57(8), 2443-2468.

Srinivasan, R., &Jayaraman, V. (2017). Mathematical programming models for production scheduling: A review. European Journal of Operational Research, 259(3), 789-804.

Wang, Q., & Zhu, J. (2018). A review of risk analysis and management in the petroleum industry. Safety Science, 106, 23-33.

Zhang, L., & Chiu, C. (2019). Optimization models and algorithms for production planning: A survey. Journal of Industrial and Production Engineering, 36(4), 214-230.

Chauhan, S. S., Sharma, R. K., & Sharma, V. K. (2016). A study of mathematical programming with application in production planning and petroleum sector in India. International Journal of Engineering Research and Technology, 5(6), 1885-1890.

Rao, M. S. S., & Gupta, V. K. (2015, December). Mathematical programming applications in petroleum industry. In Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 1-6. doi:10.1109/IEEM.2015.7376565

Singh, A. K., & Gupta, S. K. (2016, December). Application of mathematical programming in production planning of petroleum industry. In Proceedings of the 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 1-6. doi:10.1109/IEEM.2016.7843967

Abduljabbar, W. K., Tahar, R. M., &Razik, M. A.(2013). Transportation optimization model of oilproducts. Scientific Research and Essays, 8(5), 211–219. https://doi.org/10.5897/SRE11.887

Ibrahim, S. Bin. (2008). TRANSPORTATION OPTIMIZATION MODEL OF PALM OIL

PRODUCTS FOR NORTHERN PENINSULAR MALAYSIA SHAMSUDIN BIN IBRAHIM Thesis

submitted in fulfilment of the requirements for the degree of Doctor of Philosophy In The Name of Allah The Most Merciful The Most Compass. April

Rossit, D. G., Gonzalez, M. E., Tohmé, F., &Frutos, M. (2020). Upstream logistic transport planning in the oil-industry: A case study. International Journal of Industrial Engineering Computations, 11(2), 221–234. https://doi.org/10.5267/j.ijiec.2019.9.002

Iakovou, E., &Douligeris, C. (1996). Strategic transportation model for oil in US waters. Computers and Industrial Engineering, 31(1–2), 59–62. https://doi.org/10.1016/0360-8352(96)00078-2

Bauer, M., Del Genio, A. D., &Lanzante, J. R. (2002). Observed and simulated temperature-humidity relationships: Sensitivity to sampling and analysis. Journal of Climate, 15(2), 203–215. https://doi.org/10.1175/1520-0442(2002)015<0203:OASTHR>2.0.CO;2