Abstract
The enterprise management of current industrial processes has becoming increasingly complex, imposing novel challenges to the implementation of efficient decision support tools. Manual-based planning/scheduling systems have been replaced by integrated computational tools for core business processes, often in real-time, to enable a collaborative platform for the control and analysis of information. Despite the advances in process modelling, the implementation of optimisation support has been fairly discussed on how to improve industrial competitiveness and responsiveness to market variability while addressing different profitability criteria. In this work, we discuss a proof-of-concept implementation prototype of a model-based decision support tool for the production and maintenance planning optimisation in a biopharmaceutical industrial case – ICOMPASS, defining its application framework for a successful deployment in a real production environment.
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