This paper presents an integrated production, maintenance, and transportation strategy for a multi-site, multi-demand, multi-tank fuel production system. Firstly, each site’s economic fuel production plan is developed under a random demand and service level. Then, a transportation plan is proposed to collaborate between sites in case of unavailability site or unmet needs, minimizing the total cost. According to the correlation between production and maintenance, a periodically preventive maintenance strategy is developed for both refining machines and storage tanks, while minimizing the incurred costs by considering the influence of fuel production rate on their failure rates. Additionally, in this study, experimental tests are performed on an industrial tank, based on the real-life case of fuel companies, to investigate the tanks’ degradation due to corrosion phenomena. The resolution complexity of the analytical model arises from its stochastic nature due to random demands. Hence, a transformation to a deterministic form is performed. Numerical examples and a sensitivity study are presented to illustrate the effectiveness of the proposed methodology and the obtained results.

This paper deals with a problem of optimizing production, logistics and maintenance in a multi-site, multi-demand fuel refinery. Each site is equipped with one refining machine and parallel storage tanks. The objective is to meet customer demand while maintaining a given service level. The process starts with an economic production plan for each site during each production period. A distribution plan is then implemented to improve cooperation between sites and reduce the risk of shortages in the case of unsatisfied demand. Given the impact of production rates on the refining machines degradation, a preventive maintenance strategy is developed for each machine. In addition, a preventive maintenance strategy for storage tanks is established based on experimental results showing the correlation between production rates and storage tank failure rates due to corrosion. A numerical example is presented to illustrate the robustness of the proposed model.

This paper aims to solve a forecasting optimization production, logistics and maintenance problem for a multi-site, multi-demand fuel production system. The rea

Purpose: New production, maintenance and distribution activities within a multi-site and multi-demand refinery environment. A periodic preventive maintenance strategy is established for each refining machine and storage tank. The strategy is based on the impact of the production rate on the degradation rate of the refining machines and relies on experimental studies that highlight the correlation between production rates and storage tank failure rates due to corrosion. Design/methodology/approach: The present paper proposes a new approach to effectively managing production, maintenance and distribution activities within a multi-site and multi-demand refinery environment, aiming to minimize total costs. Numerical examples and sensitivity analyses, including a detailed numerical case study, are presented to confirm the effectiveness of integrated strategies and show their ability to optimally solve the complex challenges faced by refineries. Findings: This study proposes a novel integrated framework that simultaneously optimizes production, maintenance and distribution planning in multi-site downstream fuel supply chains, aiming to enhance coordination and cost-effectiveness through advanced modeling and validation using real industrial data. Originality/value: This study emphasizes the influence of production dynamics on the ageing and deterioration of refinery equipment. The originality lies in the integration of experimental evidence that elucidates the correlation between operational throughput and storage tank failure rates induced by corrosion.