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Assessment of the Interrelationship and the Influence Degree of Lean Dimensions Based on Fuzzy DEMATEL

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Języki publikacji
EN
Abstrakty
EN
Lean manufacturing is a world class philosophy and a well-approved strategy for improving quality, productivity and reduce cost to makes the organization more competitive in the changing global markets, where every organization pursues continuously to improve their lean performance by reducing or eliminating all types of waste. Fuzzy DEMATEL has been utilizes to develop assessment model to help focusing more on the most influence lean dimensions for driving the improvement process. Five essential lean dimensions have been studied that extracted by a survey to assess degree of relation, importance, and category the lean dimensions and determine the interrelationships among them. The assessment model has been developed using MICROSOFT EXCEL and applied by surveying five companies for soft drink and healthy water by a questionnaire to get their opinion about importance and the influence each lean dimension on another. Interrelationship diagram show top management has highest effect on all lean dimensions so it is considered as driving lean dimension.
Twórcy
  • Department of Production and Metallurgy Engineering, University of Technology, Bagdad, Iraq
  • Department of Production and Metallurgy Engineering, University of Technology, Bagdad, Iraq
  • Department of Production and Metallurgy Engineering, University of Technology, Bagdad, Iraq
Bibliografia
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  • 3. Kumar S., Singh B., Qadri M.A., Kumar Y.V.S., Haleem A. A framework for comparative evaluation of lean performance of firms using fuzzy TOPSIS. Int J Product Qual Manag. 2013; 11(4): 371–92.
  • 4. International Labour Organization. Lean Manufacturing Techniques For Textile Industry. ILO Cataloging in Publication Data/ Lean Manufacturing Techniques for Textile Industry. 2017.
  • 5. Elrhanimi S., El L., Abouabdellah A. Lean manufacturing : From the craft production to the global emergence Lean manufacturing : from the craft production to the global emergence. 2020; (January 2018).
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  • 7. Manea D. Lean Production – Concept and Benefits. Rev Gen Manag. 2013; 17(1): 164–71.
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  • 9. Ghushe S., Deshmukh S. Study : Implementation of Lean Manufacturing Tools on a Coir Product Manufacturing Industry. 2017; 5(2): 60–5.
  • 10. Kaplanog V., Durmus Z.D.U., Cenk S. Fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection. Expert Syst Appl. 2013; 40: 899–907.
  • 11. Nazir M., Cavus N. Fuzzy DEMATEL method for identifying LMS evaluation criteria. Procedia Comput Sci [Internet]. 2017; 120: 742–9. Available from: https://doi.org/10.1016/j. procs.2017.11.304
  • 12. Altuntas S., Yİlmaz M.K. Fuzzy DEMATEL methodto evaluate the dimensions of marketing resources: an application in SMEs. J Bus Econ Manag. 2016; 17(3): 347–64.
  • 13. Xiaoyong Z., Yu L., Yongmao X., GX 1 and XD 1. Identification of Key Brittleness Factors for the Lean–Green Manufacturing System in a Manufacturing Company in the Context of Industry 4.0, Based on the DEMATEL-ISM-MICMAC Method. Processes. 2023; 11(49).
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  • 16. Tayaksi C., Sagnak M., Kazancoglu Y. A new holistic conceptual framework for leanness as- sessment. Int J Math Eng Manag Sci. 2020; 5(4): 567–90.
  • 17. Qadrir Vsardma. Empirical assessment of the causal relationships among lean criteria using DEMATEL method. Benchmarking An Int J. 2016; 23(7).
  • 18. Azadeh A., Zarrin M., Abdollahi M., Noury S., Farahmand S. Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis. Expert Syst Appl [Internet]. 2015; 42(15–16): 6050–64. http://dx.doi.org/10.1016/j. eswa.2015.04.007
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  • 26. A. Abreu, J.M.F.C. A Fuzzy Logic Model to Evaluate the Lean Level of an Organization. Int J Artif Intell Appl. 2017; 8(5): 59–75.
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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-e01c4bac-0275-41ae-b590-4d2b1010ef05
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