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Khaled Hadj-Hamou

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Doctorant
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Publications significatives

  • Aiding design with constraints: an extension of quad trees in order to deal with piecewise functions

    Références :
    Michel Aldanondo, Élise Vareilles, Khaled Hadj-Hamou et Paul Gaborit. « Aiding design with constraints: an extension of quad trees in order to deal with piecewise functions ». In : International Journal of Computer Integrated Manufacturing 21.4 (2008). P. 353--365. ISSN : 0951-192X. DOI : 10.1080/09511920701575278.
    This paper deals with aiding preliminary design when considered as a constraint satisfaction problem (CSP). In this case, constraint filtering techniques provide some kind of interactive assistance to the designer. However, some kinds of numerical constraints corresponding with numerical relations cannot be filtered precisely with classical analytical filtering techniques such as interval arithmetic or box-consistency; it is therefore necessary to discretize them in order to include them in the CSP. To this end, quad trees (QT) have been proposed for binary constraints, or 2k trees when more than two variables are considered; but QT assume that a constraint must be defined by a single numerical function. The aim of this paper is to show that QT techniques can be extended when a constraint is defined by a piecewise function or by a set of numerical functions defined on intervals. The first section recalls some basics relevant to the preliminary design problem and the interests of the CSP assistance. The second section presents the principles of the QT. The last section describes our contributions relevant to QT extensions dealing with piecewise functions.
    Keywords: constraint satisfaction problem, knowledge-based system, preliminary design, quad trees
  • An optimization model for selecting a product family and designing its supply chain

    Références :
    Jacques Lamothe, Khaled Hadj-Hamou et Michel Aldanondo. « An optimization model for selecting a product family and designing its supply chain ». In : European Journal of Operational Research 169.3 (16 mars 2006). P. 1030--1047. ISSN : 0377-2217. DOI : 10.1016/j.ejor.2005.02.007.
    When designing a new family of products, designers and manufacturers must define the product family and its supply chain simultaneously. At the very first step of the design process, designers propose various solutions for the set of variants of a product family and their bill-of-materials. The second step is to select some of these variants while choosing the architecture of the supply chain. A mixed integer linear programming model is investigated that optimizes the operating cost of the resulting supply chain while choosing the product variants. This work is applied to the problem of an automotive supplier. (c) 2005 Elsevier B.V. All rights reserved.
    Keywords: management, mixed integer linear programming (MILP), product family design, supply chain design, supply chain management, system
  • Mass customization and configuration: Requirement analysis and constraint based modeling propositions

    Références :
    The purpose of this paper is, on the one hand, to identify to define and classify customization requirements and, on the other hand, to evaluate how generic modeling and configuration assistance within the Constraint Satisfaction Problem (CSP) framework can fulfil the requirements. The aim is to provide commercial configurator knowledge base designers with constraint based generic modeling elements for customizable industrial product. A first part recalls the main trends of the configuration problem. In a second part divided in four sections corresponding with different requirement set; each section proposes a definition of the requirement set, some CSP based modeling elements and a discussion about adequacy of relevant configuration assistance techniques.