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Joël Abeille

Doctoral Student
Doctoral Student
Present : NO
Keywords : 
Research Axes : 
  • Axis 1 : ORKID


  • System design and project planning: Model and rules to manage their interactions

    References :
    Élise Vareilles, Thierry Coudert, Michel Aldanondo, Laurent Geneste, and Joël Abeille. « System design and project planning: Model and rules to manage their interactions ». In: Integrated Computer-Aided Engineering 22.4 (27 Aug 2015). pp. 327--342. ISSN: 1069-2509. DOI: 10.3233/ICA-150494.
    This article proposes a model and rules dealing with the management of the interaction between system design processes and project planning ones. An industrial benchmark analysis has reinforced our belief that the interaction between the two processes has to be supported by models, processes and relevant tools. Firstly, after presenting the results of the analysis, the different entities are defined and the one-to-one relationship or bijection between the structure of the system and the structure of the project is made. Then, a model, taking into account design activities and planning activities as well as management of interactions, is proposed in compliance with existing project and design standards. A process of interaction is presented to carry out design and project management. Two interaction modes have been proposed. On the one hand, the structural interaction establishes links between entities of the two domains. On the other hand, the behavioral interaction (subject of this paper) is based on the definition of states for each entity following feasibility and verification criteria, and can thus manage the changes between states. Some rules are defined (precedence and synchronous rules) to forbid certain changes when they are inconsistent and to synchronize them.
    Keywords: aiding decisions, knowledge based systems, Project planning, System design
  • Case-based reasoning and system design: An integrated approach based on ontology and preference modeling

    References :
    Juan Camilo Romero Bejarano, Thierry Coudert, Élise Vareilles, Laurent Geneste, Michel Aldanondo, and Joël Abeille. « Case-based reasoning and system design: An integrated approach based on ontology and preference modeling ». In: Ai Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing 28.1 (Feb 2014). pp. 49--69. ISSN: 0890-0604. DOI: 10.1017/S0890060413000498.
    This paper addresses the fulfillment of requirements related to case-based reasoning (CBR) processes for system design. Considering that CBR processes are well suited for problem solving, the proposed method concerns the definition of an integrated CBR process in line with system engineering principles. After the definition of the requirements that the approach has to fulfill, an ontology is defined to capitalize knowledge about the design within concepts. Based on the ontology, models are provided for requirements and solutions representation. Next, a recursive CBR process, suitable for system design, is provided. Uncertainty and designer preferences as well as ontological guidelines are considered during the requirements definition, the compatible cases retrieval, and the solution definition steps. This approach is designed to give flexibility within the CBR process as well as to provide guidelines to the designer. Such questions as the following are conjointly treated: how to guide the designer to be sure that the requirements are correctly defined and suitable for the retrieval step, how to retrieve cases when there are no available similarity measures, and how to enlarge the research scope during the retrieval step to obtain a sufficient panel of solutions. Finally, an example of system engineering in the aeronautic domain illustrates the proposed method. A testbed has been developed and carried out to evaluate the performance of the retrieval algorithm and a software prototype has been developed in order to test the approach. The outcome of this work is a recursive CBR process suitable to engineering design and compatible with standards. Requirements are modeled by means of flexible constraints, where the designer preferences are used to express the flexibility. Similar solutions can be retrieved even if similarity measures between features are not available. Simultaneously, ontological guidelines are used to guide the process and to aid the designer to express her/his preferences.
    Keywords: Case-based reasoning, decision-making, Design, engineering design, fuzzy-sets, injection mold design, knowledge representation, management, Ontology, Preferences, product design, Retrieval, similarity measures, support, System Engineering