Optimizing convexity defect in a tile industry using fuzzy goal programming

Abbas Al-Refaie, Ali Diabat

    Research output: Contribution to journalArticle

    Abstract

    In most designed experiments, the main focus is to find the factor settings that optimize a quality response regardless of engineer's preferences about factor settings. Further, in tiles industry convexity defects result in huge quality costs as well as production losses. This research, therefore, aims at optimizing convexity defect while considering process engineers' preferences using fuzzy goal programming (FGP). Three two-level key process factors are considered, including below-rollers temperature, above-rollers temperature, direct blow air. Experiments are conducted with two repetitions; in each the convexity is measured on four tiles. Two optimization techniques are employed to determine the combination of optimal factor settings, including the Taguchi method and latter technique. The Taguchi approach and FGP approach provide relative improvements of 61.2% and 41.2%, respectively. Although the former technique reduces convexity larger than latter approach, it failed to satisfy the preferences on the settings of process factors. In contrast, the optimal factor settings obtained using FGP completely satisfy engineers' preferences. In conclusion, FGP successfully optimizes process performance and completely satisfies process engineers' preferences in tiles industry.

    Original languageEnglish (US)
    Pages (from-to)2807-2815
    Number of pages9
    JournalMeasurement: Journal of the International Measurement Confederation
    Volume46
    Issue number8
    DOIs
    StatePublished - Jan 1 2013

    Fingerprint

    Fuzzy Goal Programming
    convexity
    tiles
    Tile
    programming
    Convexity
    Defects
    industries
    Industry
    engineer
    Engineers
    engineers
    industry
    defects
    rollers
    Taguchi methods
    Optimise
    experiment
    Taguchi Method
    Experiments

    Keywords

    • ANOVA
    • Convexity defect
    • Fuzzy goal programming
    • Taguchi method

    ASJC Scopus subject areas

    • Statistics and Probability
    • Education
    • Condensed Matter Physics
    • Applied Mathematics

    Cite this

    Optimizing convexity defect in a tile industry using fuzzy goal programming. / Al-Refaie, Abbas; Diabat, Ali.

    In: Measurement: Journal of the International Measurement Confederation, Vol. 46, No. 8, 01.01.2013, p. 2807-2815.

    Research output: Contribution to journalArticle

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