Avaliação de Desempenho do Processo de Manufatura do Café

  • L. Morais UFPE
  • R. Massa UFPE
  • E. Tavares UFPE
  • E. Andrade UFRPE


Globalization and advanced manufacturing technologies have forced manufacturing firms to increase productivity while reducing costs. At the same time, customers are increasingly demanding better products considering tangi- ble (e.g., smell, color, taste) and intangible (e.g., mark, fair treading, and envi- ronmental responsability) attributes. Currently, Brazil consolidates a position as the largest producer and exporter of coffee, accounting for 30% of the inter- national coffee market. This paper presents a stochastic model for performance evaluation and planning of coffee manufacturing process aiming at reducing the cost and time of the production cycle. An industrial case study shows the practical usability of the proposed models and techniques.


German, R. (2000). Performance Analysis of Communication Systems with Non- Markovian Stochastic Petri Nets. John Wiley & Sons, Inc. New York, NY, USA, Second Edition edition.

Montgomery, D. C. and Runger, G. C. (2011). Applied Statistics and Probability for Engineers. John Wiley & Sons, Inc., n. 5 edition.

Embrapa (2005). Cultivo do Café Robusta em Rondônia. Sistema de Produção, 5. Empresa Brasileira de Pesquisa Agropecuária.
Como Citar

Selecione um Formato
MORAIS, L.; MASSA, R.; TAVARES, E.; ANDRADE, E.. Avaliação de Desempenho do Processo de Manufatura do Café. In: WORKSHOP EM DESEMPENHO DE SISTEMAS COMPUTACIONAIS E DE COMUNICAÇÃO (WPERFORMANCE), 14. , 2015, Recife. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2015 . p. 162-166. ISSN 2595-6167. DOI: https://doi.org/10.5753/wperformance.2015.10405.