Antonio Espuña Camarasa

Scheduling and control decision-making under an integrated information environment

The complexity of decision-making in process industries and the need of highly competitive organizations require new supporting tools to coordinate and optimize the information flow among decision levels. This work presents a framework for integrating the scheduling and control decision levels by means of an ontology, which allows and coordinates the information exchange among the different modeling nparadigms/conventions currently used for the enterprise-wide optimization (EWO). A nmultiproduct batch plant rescheduling case study is presented that illustrates the nproposed working procedure.

Use of Ontological Structures for Integrated Supply Chain Management

The integration of the different hierarchical decision making levels involved within a Chemical Supply Chain is essential for its adequate management in dynamic and competitive markets. Any approach encompassing design issues, planning, coordination and responses to customer demands, requires the consideration of huge amounts of data, which are a valuable source of information only if properly managed. But these data could also cause a lack of coordination if not stored and interpreted appropriately, so standardizing information structures and tools to improve the availability and communication of data information between different hierarchical decision levels is essential. Thus, this work addresses the problem of making the best use of the information systems associated to a Supply Chain, in order to improve the knowledge and the information comprehension capabilities in the area of Process Systems Engineering.

A proposal for coordinator control recipe in a batch process

In this work, we propose a coordinator control recipe in the context of a batch process with the use of elements of petri nets and some techniques associated with non linear control (e.g. the relative degree) focused to explain the implications of use a hybrid dynamical models in terms of problem control and its relation with on-line experimental measures and the norm ISA S88.02.