This article introduces a novel framework to deal with the scheduling problem concerning batch chemical plants. The main contribution of this work in comparison with previous approaches relies on the fact that it includes ...

This paper investigates data based modelling of complex nonlinear processes, for which a first principle model useful for process monitoring and control is not available. These empirical models may be used as soft sensors ...

The circular economy paradigm requires process synthesis to be expanded beyond the consideration of production activities aimed at market needs and to integrate valorization processes upcycling waste from different sources ...

A number of algorithms have been developed -including enumeration of feasible production sequences, alternative task selection and the generation of alternative production lines- to determine the optimal sequence in which ...

In batch process scheduling, production trade-offs arise from the simultaneous consideration of different objectives. Economic goals are expressed in terms of plant profitability and productivity, whereas the environmental ...

Current tactical models of Supply Chain s (SC ) associate the conflicts among independent SCs with the uncertain behavio u r of external echelons (third parties). Although the trend now arises to solve these conflicts using ...

This work presents a novel systematic approach for the construction of domain ontologies. The suggested approach uses a semi-automatic construction methodology. For this study, parent-child concept pairs are taken from a ...

In the domain of chemical process engineering, there is an increased interest in the integration of the enterprise hierarchical levels for decision-making purposes. At the scheduling level, decisions on the allocation of ...

Recently, process industries have experienced a significant pressure to shift from centralized energy supplying systems to the in-situ exploitation of renewable resources. Special attention has been paid to multi resource-based ...

Fault diagnosis (FD) using data-driven methods is essential for monitoring complex process systems, but its performance is severely affected by the quality of the used information. Additionally, processing huge amounts of ...