Ferramentas computacionais de apoio às aplicações de cadeias de Markov na Engenharia de Produção

Abstract

This work aims to analyze the computational tools used in the application of Markov Chains in Production Engineering, identifying trends and areas of application. The methodology adopted combines a comprehensive literature review and a quantitative analysis. The results obtained indicate that the most adopted tools in this context are: Excel, Matlab, Arena, WinBUGS and R. The classification analysis revealed that the majority of works (67%) are applied in nature. As for application sectors, industry and manufacturing stand out, accounting for 58.7% of academic production. In relation to ABEPRO areas, 81% of the work falls into 3 areas: operational research, operations and process engineering and supply chains. In relation to previous studies, this research contributes by providing a more comprehensive understanding of the Brazilian scenario with regard to the applications of Markov Chains in different contexts of Production Engineering.