Resumen:
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[EN] Planning of a manufacturing process is a knowledge-intensive task in which a lot of
information/knowledge must be managed, especially to the most conceptual levels. One
of these tasks that is realized at supervisor ...[+]
[EN] Planning of a manufacturing process is a knowledge-intensive task in which a lot of
information/knowledge must be managed, especially to the most conceptual levels. One
of these tasks that is realized at supervisor planning level, consists of the assignment and
configuration of resources for each activity to execute. Decisions that must be based on
the resource capabilities, which depend largely on resource configuration, so that they
can ensure a good result. As it is well known, the ontological approaches have shown
well positioned in these cases where knowledge management is needed, moreover, these
approaches enable a shared conceptualization, which make it possible to implement
process planning in a collaborative environment, particularly when they are accompanied
by a methodology that facilitates their interpretation and use.
In previous researches, a general ontology for modelling the resource capabilities
involved in a process has been proposed. This ontology has been specialized in order to
support the process planning task and a methodology supported on graphical
representation for validating the configurations of resources assigned in a manufacturing
process has been proposed. Based on these results, in this paper, an extended ontology for
the inspection process planning is presented. This extension includes new types of
activities (inspection activities) and new type of resources (inspection resources), and is
centered on the dimensional and geometrical capabilities of the resources. Additionally,
using the ontology semantics and the proposed methodology, an application for an
inspection plan is developed. The inspection process planning case is focused on the
preparation activities used for obtaining the configurations of the resources, since they
largely determine the capabilities of the resulting resources. The application demonstrates
the proficiency of the ontology to execute manufacturing planning and inspection
planning in a dual form.
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