A comprehensive supplier classification model for SME outsourcing

Valéria Pereira Ferreira, Francisco Silva, R. P. Martinho, C. Pimentel, R. Godina, B. Pinto

Research output: Contribution to journalConference article

Abstract

The creation of knowledge niches and production costs have led to a growing specialization of some companies, particularly in sectors where the production equipment present quite high prices, the tools are very specific and expensive, and considerable know-how is necessary. This premise assumes even more considerable contours in SMEs. Outsourcing among SMEs is becoming more frequent. However, the management tools and scientific models already existing are too much complex to help SMEs to make decisions on the selection of its suppliers. This paper intends to present and validate a comprehensive model to help SMEs to classify and select their suppliers, based on parameters that directly determine the quality with which an SME can be served by another. The model was later successfully tested through its application to a metalworking company that supplies specialized parts for the automotive and aeronautical industry, allowing the validation of the proposed classification method. Moreover, the model can be easily integrated with other management tools, allowing to obtain positive results in a short period of time, based on a previous history of a given list of suppliers.

Original languageEnglish
Pages (from-to)1461-1472
Number of pages12
JournalProcedia Manufacturing
Volume38
DOIs
Publication statusPublished - 2019
Event29th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2019 - Limerick, Ireland
Duration: 24 Jun 201928 Jun 2019

Keywords

  • Classification model
  • Machining
  • Outsourcing
  • SME
  • Suppliers' classification
  • Suppliers' Sorting

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    Ferreira, V. P., Silva, F., Martinho, R. P., Pimentel, C., Godina, R., & Pinto, B. (2019). A comprehensive supplier classification model for SME outsourcing. Procedia Manufacturing, 38, 1461-1472. https://doi.org/10.1016/j.promfg.2020.01.141