Cadeias de Markov na engenharia de produção um panorama das Aplicações

Abstract

This work consists of a systematic survey of the applications of Markov chains within the scope of Production Engineering. The justification for this research is based on the absence of a comprehensive quantitative overview of how the aforementioned method is employed in Production Engineering. The results obtained demonstrate that in the international context, 3 areas stand out for employing Markov chains most frequently: Operations Research and Management Science (50.9%), Industrial Engineering (50.9%), and Manufacturing Engineering (39.09%). The main types of applications found were Scheduling (46.2%), Average Run Length (ARL) (9.9%), and preventive maintenance (16.5%). In the Brazilian scenario, it is observed that the areas of Industrial Production Engineering and Manufacturing lead in terms of Markov chain applications. The main types of applications found were Logistics (20.8%), Quality Control (16.7%), and Production Processes (29.2%). Among the results found, 4 micro-topics account for 86.9% of the applications, while 3 areas of ABEPRO represent 66.7% of the applications of Markov chains in Production Engineering. All these results point to a high similarity between the international and national scenarios in terms of the use of Markov chains in Production Engineering.