Strengthening organizational competitiveness in machine shops using multicriteria and fuzzy methods

Authors

  • Hiovanis Castillo Pantoja Universidad de Holguín, Cuba.
  • Ricardo del Risco Alfonso Universidad de Camagüey, Cuba.
  • Roberto Pérez Rodríguez Universidad de Holguín, Cuba.

DOI:

https://doi.org/10.51896/rilco.v5i17.158

Keywords:

Organizational Competitiveness, Machining Shops, Multicriteria and Fuzzy Methods, Stainless Steel

Abstract

Decision-making within the material removal manufacturing industry is a process that relies on tools that guarantee its effectiveness when it comes to delivering its productions. On the other hand, there are several new technologies that are currently being combined so that organizational competitiveness can reach the objectives set by entrepreneurs in machine shops. At present, the multicriteria analysis method is one of the instruments that helps engineers and specialists within the factories to define the values of the main factors involved in obtaining parts and pieces with quality and that satisfy the interests of manufacturers in the automotive, aeronautical, aerospace and other industries. The following work analyzes how a better organizational competitiveness was achieved in machining workshops, by using multi-criteria methods (TOPSIS) and Fuzzy uncertainty analysis (FTOPSIS), to determine the best alternatives with the optimal parameters in the manufacture of austenitic stainless-steel parts. In the result it was achieved that the best alternative will be selected where the finished part will take the value of the best surface roughness, this simple organizational action, improves the criterion organizational competitiveness of the workshop, so the proposed hybrid decision making model provides an ideal method with an innovative tool within the organizational system of the machining industry.

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Published

2023-06-13

How to Cite

Castillo Pantoja, H., del Risco Alfonso, R., & Pérez Rodríguez, R. (2023). Strengthening organizational competitiveness in machine shops using multicriteria and fuzzy methods. Revista De Investigación Latinoamericana En Competitividad Organizacional, 5(17), 1–11. https://doi.org/10.51896/rilco.v5i17.158

Issue

Vol. 5 No. 17 (2023): February

Section

Artículos

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