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Article dans une revue

Analytic Hierarchy Process used to Estimate the Performance of Companies that Implement Lean Manufacturing and Six Sigma

Abstract : This study analyses company performance by using the Analytic Hierarchy Process (AHP) to rank the performance of participating companies. The Super Decisions software package was used to compute the rating score. The first stage of this work involved collecting empirical data via questionnaires to characterise the impact of implementing quality and operational methodologies. Next, the AHP was constructed to rank the characteristics in terms of their effectiveness in improving company performance. The research results indicate that companies implementing lean manufacturing and Six Sigma are more effective in improving their financial and operational performance. Additionally, the results reveal that implementing lean manufacturing alone is sufficient to improve innovation performance.
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https://hal.univ-angers.fr/hal-02528623
Contributeur : Okina Université d'Angers <>
Soumis le : mercredi 1 avril 2020 - 20:57:45
Dernière modification le : jeudi 2 avril 2020 - 10:34:01

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Ibrahim Alhuraish, Christian Robledo, Abdessamad Kobi, Lotfi Azzabi. Analytic Hierarchy Process used to Estimate the Performance of Companies that Implement Lean Manufacturing and Six Sigma. International Journal of Six Sigma and Competitive Advantage, Inderscience, 2017, 10 (3/4), pp.179-200. ⟨10.1504/IJSSCA.2017.086574⟩. ⟨hal-02528623⟩

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