DIgital MockUp for Multi-EXPertises integration – DIMEXP

From the data point of view, the approach consists in organizing data to allow classification, indexation, parameters evaluation and their relationships. A nomenclature is defined and proposed allowing visualization, exploring and traceability of heterogeneous data. This organization is placed around the Digitial Mock-up of the product.
From the “collaborative process” point of view, the approach consists in organizing the collaboration between operational actors and to promote information feedback in order to assist agile decision making. Based on “collaborative actions”’ demands, performance indicators are proposed and analysed to allow daily management of activities undertaken projects.

From the « data » point of view, the first obtained results are based on the concept of signature of an object. Signature allows characterizing an object contained in a data. Our solutions adapted to the context of Reverse Engineering allow detecting an object from a digitalization.
From the “collaborative process” point of view, the work is issued from a previous work on multidisciplinary integration.

The Manufacturing context is the historical domain targeted by DIMEXP. However, the results from DIMEXP could be applied on other domains such as BIM (Building Information Modelling) etc.

DIMEXP is a laboratory, thus, implied in international conferences, workshops etc. Researchers of DIMEXP have recurrent publication in international journals.

The Common Laboratory DIMEXP - DIgital mockUp for Multi-EXPertises integration has a main objective of developing methods and models to improve the integration of multidisciplinary expertise and heterogeneous data in advanced digital environments.
The scientific objectives of this laboratory focus on the emergence of standards in design and industrialization of mechanical products through collaborative management, multi-scale digital-mock up and taking into account of heterogeneous information.
DIMEXP deals with data models, process models and organizational methods to improve the collaboration of experts. These experts are implied in different steps of the product life cycle and come from different domains of expertise. The differences of expertise, the large panel of engineering software and the heterogeneous data used impair correct collaboration between engineering experts.
In the manufacturing plant context, PLM systems (Product Lifecycle Management) aim to bring solutions to this problem. Nevertheless, the collaboration is organized at a macroscopic scale between the engineering services and not between the people. The collaboration is systematically organized through an approach called “top – down”.
The "operational" collaboration is not supported and takes place in an informal frame. This collaboration cannot be piloted and valued. Moreover, only part of the data is truly managed in the management systems, or at least only a part is really exploited. This is partially a consequence of the heterogeneous nature of the data which are managed.
The domains of DIMEXP are justified by the growing needs of companies identified by DeltaCAD. It has a real capacity to bring innovative solutions on engineering collaboration in numerical environments. It will be possible for the company to have significant perspectives in terms of valuation and growth of activity. In particular, it should help reach new strategic markets which require strong multidisplinary collaboration around innovative digital Mock – Ups.