1. Proceedings
  2. I3M
  3. 2018
  4. MAS
  5. 10.46354/i3m.2018.mas.019

Rule-based modeling of Supply Chain Quality Management

  • a Juan Miguel Cogollo Flórez , 
  • b Alexander Alberto Correa Espinal  
  • a Instituto Tecnológico Metropolitano-ITM, Medellín, Colombia
  • b Universidad Nacional de Colombia, Medellín, Colombia
Cite as
Cogollo Flórez J.M., Correa Espinal A.A. (2018). Rule-based modeling of Supply Chain Quality Management. Proceedings of the 17th International Conference on Modeling & Applied Simulation (MAS 2018), pp. 120-125. DOI: https://doi.org/10.46354/i3m.2018.mas.019

Abstract

Analytical modeling of Supply Chain Quality Management (SCQM) is one of the main research avenues in both Quality Management (QM) and Supply Chain Management (SCM). Therefore, the purpose of this paper is to analyze rule-based modeling for SCQM coordination and integration and to develop a model for SCQM integration using Fuzzy Cognitive Maps. The model contains nine SCQM concepts and their relations. The convergence analysis of the inference process validated the initial selection of the SCQM concepts and the values of their relations. The results of the model allowed identifying the concepts rejections, returns, and defective product in production, as the most important decision making variables for improvement quality management in the supply chain studied.

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