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  • PCB assembly planning  (1)
  • Possibility theory  (1)
  • 1995-1999  (2)
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  • 1995-1999  (2)
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  • 1
    Electronic Resource
    Electronic Resource
    PCB assembly planning using genetic algorithms (1998)
    Springer
    The international journal of advanced manufacturing technology 14 (1998), S. 363-368 
    Details
    ISSN: 1433-3015
    Keywords: Genetic algorithms ; Optimisation ; PCB assembly planning
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract Printed circuit boards (PCB) are used extensively in industry for the manufacture of electronic and electromechanical products. One of the primary concerns in the manufacture of PCBs is the determination of the optimal assembly plan. This paper presents work that leads to the development of an approach to PCB assembly planning using genetic algorithms (GAs). The approach takes into consideration component insertion priority and sequencing decision rules. A polygamy reproduction mechanism with dual mutation has been proposed and implemented. Details of the approach are described. A PCB model extracted from the literature was used for performance evaluation. Details of the evaluation are presented.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01178916
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Adapting IDEF0 modelling to perform manufacturing diagnosis (1998)
    Springer
    The international journal of advanced manufacturing technology 14 (1998), S. 928-934 
    Details
    ISSN: 1433-3015
    Keywords: Fuzzy directed graph ; IDEF0 modelling ; Possibility theory
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract This paper presents the work done to adapt a system modelling methodology, ICAM DEFinition Zero (IDEF0), to perform manufacturing diagnosis. It describes the basic notions of IDEF0 modelling and the underlying principle of a novel reasoning technique, the “worst-first” search, developed for manufacturing diagnosis. The reasoning technique which was originally based on graph theory and possibility theory, has been adapted to access the information stored in an IDEF0 model. Details of a prototype IDEF0-based system for manufacturing diagnosis are presented. The results of system validation based on a manufacturing system for the production of mechanical components are reported.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01179083
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    Paper (German National Licenses)
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