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Analysis of the impact of Six Sigma and Lean Manufacturing on the performance of companies

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EN
Abstrakty
EN
Moroccan companies seek to be competitive worldwide by improving quality, productivity, and customer satisfaction. Lean Manufacturing and Six Sigma are the most popular methodologies for continuous improvement in companies. The objective of this article is to determine the impact of Six Sigma and Lean Manufacturing on the performance of different companies. The data was collected by a questionnaire sent to the various companies and industries in Morocco. 45 companies responded to this study, divided into several sectors. The criteria of this study are based on two levels: Financial and operational performance. A statistical study is carried out by SPSS software to analyze and interpret the collected results. The results of this study show that companies using Six Sigma and Lean Manufacturing methodologies have a positive financial and operational performance compared to companies that only use Lean Manufacturing or companies that do not use Six Sigma or Lean Manufacturing. Therefore, the combination of Six Sigma and Lean manufacturing is the ideal and perfect approach for the continuous improvement of different companies.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
191--196
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
  • Laboratory of Advanced Materials and Process Engineering Faculty of Sciences Ibn Tofaïl University, PB 133-14000, Kenitra, Morocco
  • Laboratory of Advanced Materials and Process Engineering Faculty of Sciences Ibn Tofaïl University, PB 133-14000, Kenitra, Morocco
  • Laboratory Biotechnology Environment and Quality Faculty of Sciences IbnTofail University, PB 133-14000, Kenitra, Morocco
  • Laboratory Biotechnology Environment and Quality Faculty of Sciences IbnTofail University, PB 133-14000, Kenitra, Morocco
autor
  • Laboratory Biotechnology Environment and Quality Faculty of Sciences IbnTofail University PB 133-14000, Kenitra, Morocco
  • Laboratory of Animal Ecology Faculty of Sciences IbnTofail University, PB 133-14000, Kenitra, Morocco
Bibliografia
  • [1] I. Alhuraish, C. Robledo, et A. Kobi, «A comparative exploration of lean manufacturing and six sigma in terms of their critical success factors», J. Clean. Prod., vol. 164, pp. 325 337, oct. 2017, doi: 10.1016/j.jclepro.2017.06.146.
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  • [8] T. Pyzdek et P.A. Keller, The Six Sigma handbook: a complete guide for green belts, black belts, and managers at all levels. New York: McGraw-Hill Companies, 2010. Consulté le: 30 décembre 2021. [En ligne]. Disponible sur: http://accessengineeringlibrary.com/browse/six-sigmahandbook-a-complete-guide-for-green-belts-black-beltsand-managers-at-all-levels-third-edition
  • [9] P. Jirasukprasert, J. Arturo Garza-Reyes, V. Kumar, et M.K. Lim, «A Six Sigma and DMAIC application for the reduction of defects in a rubber gloves manufacturing process», Int. J. Lean Six Sigma, vol. 5, n 1, pp. 2 21, févr. 2014, doi: 10.1108/IJLSS-03-2013-0020.
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  • [16] M.L. Emiliani, «Origins of lean management in America: The role of Connecticut businesses», J. Manag. Hist., vol. 12, n 2, pp. 167 184, avr. 2006, doi: 10.1108/13552520610654069.
  • [17] R. Shah et P.T. Ward, «Defining and developing measures of lean production», J. Oper. Manag., vol. 25, n 4, pp. 785 805, juin 2007, doi: 10.1016/j.jom.2007.01.019.
  • [18] Y. Goshime, D. Kitaw, et K. Jilcha, «Lean manufacturing as a vehicle for improving productivity and customer satisfaction: A literature review on metals and engineering industries», Int. J. Lean Six Sigma, vol. 10, n 2, p. 691 714, mai 2019, doi: 10.1108/IJLSS-06-2017-0063.
  • [19] J. Singh, H. Singh, et G. Singh, «Productivity improvement using lean manufacturing in manufacturing industry of Northern India: A case study», Int. J. Product. Perform. Manag., vol. 67, n 8, pp. 1394 1415, nov. 2018, doi: 10.1108/IJPPM-02-2017-0037.
  • [20] R. EL-Khalil, Z.M. Leffakis, et P.C. Hong, «Impact of improvement tools on standardization and stability goal practices: An empirical examination of US automotive firms», J. Manuf. Technol. Manag., vol. 31, n 4, pp. 705 723, mars 2020, doi: 10.1108/JMTM-08-2019-0289.
  • [21] M.G. (Mark) Yang, P. Hong, et S.B. Modi, «Impact of lean manufacturing and environmental management on business performance: An empirical study of manufacturing firms», Int. J. Prod. Econ., vol. 129, n 2, pp. 251 261, févr. 2011, doi: 10.1016/j.ijpe.2010.10.017.
  • [22] M. Dieste, R. Panizzolo, J.A. Garza-Reyes, et A. Anosike, «The relationship between lean and environmental performance: Practices and measures», J. Clean. Prod., vol. 224, pp. 120 131, juill. 2019, doi: 10.1016/j.jcle-pro.2019.03.243.
  • [23] M. Dieste, R. Panizzolo, et J.A. Garza-Reyes, «A systematic literature review regarding the influence of lean manufacturing on firms’ financial performance», J. Manuf. Technol. Manag., vol. 32, n 9, pp. 101 121, déc. 2021, doi: 10.1108/JMTM-08-2020-0304.
  • [24] B. Resta, S. Dotti, P. Gaiardelli, et A. Boffelli, «Lean Manufacturing and Sustainability: An Integrated View», in Advances in Production Management Systems. Initiatives for a Sustainable World, vol. 488, I. Nääs, O. Vendrametto, J. Mendes Reis, R.F. Gonçalves, M.T. Silva, G. von Cieminski, et D. Kiritsis, Éd. Cham: Springer International Publishing, 2016, pp. 659 666. doi: 10.1007/978-3-319-51133-7_78.
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  • [27] S. Nallusamy, «Lean Manufacturing Implementation in a Gear Shaft Manufacturing Company Using Value Stream Mapping», Int. J. Eng. Res. Afr., vol. 21, pp. 231 237, déc. 2015, doi: 10.4028/www.scientific.net/JERA.21.231.
  • [26] E.C. Davenport, M.L. Davison, P.-Y. Liou, et Q.U. Love, «Reliability, Dimensionality, and Internal Consistency as Defined by Cronbach: Distinct Albeit Related Concepts: Reliability, Dimensionality, and Internal Consistency», Educ. Meas. Issues Pract., vol. 34, n 4, pp. 4 9, déc. 2015, doi: 10.1111/emip.12095.
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu „Społeczna odpowiedzialność nauki” - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a746db63-3d97-4e63-a097-8f48eb8a3e67
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