A knowledge-based approach for the selection of assembly equipment based on fuel cell component characteristics

M. Ahmad, Bilal Ahmad, Robert Harrison, Borja Ramis Ferrer, Jose Luis Martinez Lastra, J. Meredith, A. Bindel

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    1 Citation (Scopus)

    Abstract

    Unpredictable and dynamic markets are driven by an ever more informed customer base and rapid technological evolution. In order stay competitive, organisations producing physical products need to be agile. To realise a product, an organisation must go through several phases including product design, process planning and manufacturing system design. These phases can exist within and across organisations, spanning the globe and utilizing an enormous range of information and communication standards. So as to understand the requirements of the predominantly sequential phases, resources are exhausted in converting information into a language which upstream and downstream phases can understand. This research paper aims to reduce this effort by capturing knowledge in a core ontology which is formed by product, process and resource domain ontologies. The vision is that phase or domain experts input information into this ontology, which then infers requirements for the adjacent phases based on predefined relationships. The presented approach permits the insertion of additional information as it becomes available because ontologies are extensible and scalable. This supports a concurrent engineering approach and accommodates the needs of modern businesses. This research paper presents a proof of concept based on a Proton Exchange Membrane Fuel Cell (PEMFC). The rationale for the choice of classes and properties in the model are described. The model is successfully proved by describing liaison precedence and the selection of appropriate assembly equipment.
    Original languageEnglish
    Title of host publicationIECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
    Pages1002-1007
    Number of pages6
    DOIs
    Publication statusPublished - 1 Nov 2015
    Publication typeA4 Article in conference proceedings
    EventAnnual Conference of the IEEE Industrial Electronics Society -
    Duration: 1 Jan 1900 → …

    Publication series

    Name
    ISSN (Print)1553-572X

    Conference

    ConferenceAnnual Conference of the IEEE Industrial Electronics Society
    Period1/01/00 → …

    Keywords

    • assembling, Assembly, assembly equipment selection, communication standard, Fuel cells, knowledge-based approach, knowledge based systems, manufacturing system design, Manufacturing systems, ontologies, ontologies (artificial intelligence), ontology, PEMFC, power engineering computing, PPR, process planning, product design, proton exchange membrane fuel cell, Proton Exchange Membrane Fuel Cell (PEMFC), proton exchange membrane fuel cells, reasoning, Resource description framework, resource domain ontology, Semantics

    Publication forum classification

    • Publication forum level 1

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