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Item type:Publication, Design of a robust H2 state feedback temperature controller for a steel slab reheating furnace(MDPI, 2020-03-01)This article addresses the design of a robust H2 state feedback controller (H2-SFC) for the effective temperature control in the heating zone of the steel slab reheating furnace. Based on the available field data and system identification procedures, a mathematical model of the heating zone is derived, which presents autoregressive-moving average with exogenous input (ARMAX) structure and fourth order. The design of an H2-SFC controller for the effective control of the heating zone temperature of the slab reheating furnace under study is developed. The simulation results of the designed control system showed its high effectiveness compared to the conventional PID control. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimization model applied to the distribution of COVID-19 vaccines in Lima and Callao(Springer, 2022-01-01)Currently, Peru has started a vaccination plan to face the crisis generated by Covid-19; however, it has not been the most efficient. The current study seeks to reduce vaccine distribution times and costs in Lima and Callao by applying a mathematical optimization model. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimization approaches for multiple conflicting objectives in sustainable green supply chain management(MDPI, 2022-10-01)Over the years, the global supply chain has evolved into a more extensive interconnected complex network with multiple suppliers, manufacturers, and customers. Since environmental issues have become a burning question in recent years, the focus has shifted to attaining sustainability in supply chain management. The green supply chain or sustainable network is a concept to reduce environmental impacts in the life cycle of a product. However, green supply chain management is often challenged with additional operating costs and difficulty monitoring the implications within the complex network system. Additionally, many stakeholders are unaware of the importance of sustainability analysis, which eventually complicates adopting green cultures in actual applications. Since green supply chain management deals with multiple aspects, such as cost and carbon emission, the multiobjective optimization method is widely used to evaluate supply chain performance. This paper intensively reviews the state-of-the-art literature on applying multiobjective optimization techniques in green supply chain management. The study highlights aspects of green supply chain structures, model formulation techniques considering multiple objectives simultaneously, and solution methods for multiobjective optimization problems. Finally, a conclusion is drawn with the scope of the potential research opportunities for integrating economic and environmental considerations in sustainable supply chain management practice. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact and Abrasion Power Modeling of a Tumbling Mill for Control Design(Elsevier B.V., 2023-07-01)In this research, the model of the net power draw of a tumbling mill is proposed, which is described considering the contribution of the impact power and the abrasion power separately. Nowadays, in phenomenological models used in mill control design, the net power draw in the grinding of the mineral is not described by a dynamic representation (but by experimental formulation); therefore, the validity of the model thus obtained is restricted to a given operating condition. The proposed model describes the dynamics of the impact power and the abrasion power through variables and parameters that depend on the operating conditions, therefore this model is obtained for a whole range of operation, also it is represented in the state space, which will facilitate the control design task of the milling process. Finally, simulation tests were carried out for a tumbling mill using the proposed approach. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mathematical Model to Improve Energy Efficiency in Hammer Mills and Its Use in the Feed Industry: Analysis and Validation in a Case Study in Cuba(Multidisciplinary Digital Publishing Institute (MDPI), 2025-05-01)The feed industry is characterized by high energy consumption during the grinding stage, where hammer mills can account for up to 50% of total electricity usage; furthermore, efficiency analyses are based only on the classical equations reported in the literature. In this context, the present theoretical-applied research aimed to improve the efficiency of a plant operating below its nominal capacity. To achieve this, a comprehensive mathematical model was developed, integrating power and grain disintegration equations while overcoming the limitations of classical comminution theories. The model incorporates key factors such as feed rate, moisture content, absorbed power and hammer wear. Additionally, specific correction factors for temperature (Kt) and mechanical degradation (Kd) were introduced to accurately represent real operating conditions. The study was based on extensive measurements of electrical current, power factor, energy consumption, particle size distribution and thermal variations under different load conditions. The statistical analysis, which included ANOVA, ANCOVA and multiple regressions, demonstrated a predictive accuracy of 98% (R2) and a pseudo-R2 of 89%. This high correlation allowed for an 18% reduction in energy consumption equivalent to 4 kWh/t and up to a 30% improvement in particle size uniformity, surpassing typical factory performance. The findings highlight that integrating operational, thermodynamic and wear-related factors enhances the robustness of the model, promoting more reliable energy-management practices in hammer mills. Consequently, the results confirm that the developed model serves as a scientifically robust, efficient and applicable tool for improving energy efficiency and reducing environmental impacts in the agri-food industry.1 - Some of the metrics are blocked by yourconsent settings
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