Production scheduling through variable selection and Monte Carlo simulation

Abstract

This paper proposes a production scheduling approach which combines variable selection for clustering and Monte Carlo simulation in multiproduct scenarios. A four steps approach is proposed to perform: (i) data collection, (ii) variable selection for clustering products with similar physical characteristics, (iii) demand simulation using Monte Carlo simulation, and (iv) analysis of results and adherence of systematic to real scenarios. The proposed methodology was applied in a food industry with a wide variety of products, making production planning easier and maximizing profits.

Keywords

• Seleção de variáveis. Clusterização. Simulação de Monte Carlo.