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<p>Production planning of refineries is an important factor in increasing their profitability. This is done by reducing the costs of materials and processes, on the one hand, and producing products with more added value, on the other hand. In this paper, a framework for optimizing the oil condensate supply chain is modeled using mathematical planning to design and make strategic and tactical decisions at the petrochemical refinery. Therefore, the main unique contribution of the current study is the combination of various aspects of supply chain management, including production planning, inventory management, and distribution logistics, into a single cohesive framework. This integration allows for better coordination and optimization across all stages of the supply chain, leading to enhanced efficiency and reduced operational costs. Also, the model incorporates advanced techniques to handle uncertainties related to demand fluctuations. The main goal is to plan production and distribution simultaneously to meet uncertain needs for petroleum products. Additionally, reducing the total costs of production and distribution is another goal of this research. Considering the feasibility of this issue, implementing the aforementioned goals in the Kermanshah Oil Refinery and analyzing the results is considered the practical goal of this research. Using a real case study, all possible decisions are made to control petrochemical products in the supply chain. Thus, the structure and decisions of the supply chain are generally based on two objective functions, including the reduction of transmission (first objective) and inventory costs (second objective) in refineries and distribution centers. Finally, by solving the proposed model using the CPLEX tool in GAMS software, the values of the variables under the problem control have been determined. According to the obtained results, the proposed model is solved based on the weighted sum method (WSM), and the results show that the value of the objective function created according to the WSM is strongly dependent on the weight of the first objective function. Additionally, for the sensitivity analysis of the objective functions, different weights have been considered for the objective functions in the problem with a weight value (from 0 to 1). The results showed that the reduction of the transmission cost in the robust model is associated with demand uncertainty, and it is observed that with the increase in the weight of the objective function of cost reduction, the objective function moves towards optimization and reduction, and its value at the weight of 0.1 indicates the correct performance of the presented robust model. Finally, the results of this paper provide valuable information to managers for managing offshore and onshore oil and gas projects, as well as petrochemical and refinery projects.</p>

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An Integrated Robust Planning Model for Petrochemical Product in the Supply Chain

  • 期刊论文

  • 发表日期：

    2025年10月21日

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  • Neda Sardar,
  • Hasan Javanshir,
  • Seyed Mohammad Haji Molana,
  • Seyed Ahmad Yazdian

摘要

Production planning of refineries is an important factor in increasing their profitability. This is done by reducing the costs of materials and processes, on the one hand, and producing products with more added value, on the other hand. In this paper, a framework for optimizing the oil condensate supply chain is modeled using mathematical planning to design and make strategic and tactical decisions at the petrochemical refinery. Therefore, the main unique contribution of the current study is the combination of various aspects of supply chain management, including production planning, inventory management, and distribution logistics, into a single cohesive framework. This integration allows for better coordination and optimization across all stages of the supply chain, leading to enhanced efficiency and reduced operational costs. Also, the model incorporates advanced techniques to handle uncertainties related to demand fluctuations. The main goal is to plan production and distribution simultaneously to meet uncertain needs for petroleum products. Additionally, reducing the total costs of production and distribution is another goal of this research. Considering the feasibility of this issue, implementing the aforementioned goals in the Kermanshah Oil Refinery and analyzing the results is considered the practical goal of this research. Using a real case study, all possible decisions are made to control petrochemical products in the supply chain. Thus, the structure and decisions of the supply chain are generally based on two objective functions, including the reduction of transmission (first objective) and inventory costs (second objective) in refineries and distribution centers. Finally, by solving the proposed model using the CPLEX tool in GAMS software, the values of the variables under the problem control have been determined. According to the obtained results, the proposed model is solved based on the weighted sum method (WSM), and the results show that the value of the objective function created according to the WSM is strongly dependent on the weight of the first objective function. Additionally, for the sensitivity analysis of the objective functions, different weights have been considered for the objective functions in the problem with a weight value (from 0 to 1). The results showed that the reduction of the transmission cost in the robust model is associated with demand uncertainty, and it is observed that with the increase in the weight of the objective function of cost reduction, the objective function moves towards optimization and reduction, and its value at the weight of 0.1 indicates the correct performance of the presented robust model. Finally, the results of this paper provide valuable information to managers for managing offshore and onshore oil and gas projects, as well as petrochemical and refinery projects.