<p>La planificación de la producción y tareas de mantenimiento en una red de  equipos es una tarea cuya complejidad aumenta exponencialmente con el número de productos, equipos y tareas. Encontrar soluciones óptimas económicas o de eficiencia de recursos) se hace especialmente difícil para un planificador humano, más aún cuando se requiere tomar decisiones en breves periodos de tiempo. Este trabajo aborda el problema de distribución de carga en tiempo real y programación de limpiezas en una red de evaporadores industriales mediante herramientas de ayuda a la decisión basadas en optimización mixta entera con modelos. Las herramientas propuestas tienen en cuenta las preferencias de visualización de los operarios y están integradas con el sistema de supervisión de la planta. Además de proporcionar recomendaciones para la operación óptima de la red, se incluye un sistema semiautomático de actualización de modelos basado en datos históricos de operación.</p>

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Operational decisions in the day-to-day business of chemical production processes can have a significant impact on the energy and material efficiency. We propose to use real-time resource efficiency indicators (REI) to accurately monitor the energy and material efficiency in real-time and subsequently to use these in decision support for the operating staff. To guide industrial users during the development of REIs, a Namur ad-hoc working group (AK) Resource Efficiency Indicators for the operational use was set up to prepare a Namur Recommendation.

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This paper presents a framework for the definition and calculation of Real‐Time Resource Efficiency Indicators (REIs) for batch processes. The indicators are based on the allocation of resource and energy inputs to the individual batches and recipe operations as the basis for a comprehensive analysis and representation of the overall resource efficiency. The framework structures REIs into three categories describing (1) the efficiency of key unit operations, (2) the efficiency of the production of an individual batch, and (3) the overall system performance. Indicators from the last two categories can be propagated along the production process and can be aggregated vertically from units to sections and complete production sites. Chemical production processes often involve batch blending and splitting, separation processes, and continuous production steps. The framework allocates the contributions of the continuous steps to the batches and considers merging and splitting of batches. Thus, it yields a reliable and commensurate set of indicators that can be used to monitor and to optimize the resource efficiency of batch processing plants in real‐time in order to support the decision making process in daily operations. To demonstrate the approach, it is applied to a sugar production process that integrates batch and continuously operated unit operations.