Mathematical Modeling Appoach for Optimizing the Planning of Agricultural and Industrial Stages in the Processing Tomato Sector

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Cleber Rocco (Autor) FEUP; Bernardo Almada Lobo (Autor) FEUP; Reinaldo Morabito (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings of XLV SBPO - Simpósio Brasileiro de Pesquisa Operacional

Páginas: 1-12

XLV SBPO - Simpósio Brasileiro de Pesquisa Operacional

Natal Brasil, 16 a 19 de setembro de 2013

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

Resumo (PT): This study presents a mathematical modeling approach to represent and optimize some of the main decisions in the processing tomato sector. Agricultural and industrial activities have many interconnected and costs based decisions which are organized as stages. Agricultural decisions comprise to choose when, where and how much tomato should be produced and transported to processing plants; while industrial decisions include managing the capacity allocation of plants as well as the logistic tasks, such as transportation and inventories of raw materials and final products. Field research revealed that the processing tomato companies in Brazil do not use any cost optimization tool to plan these activities. Instead they just follow existing traditional industry practice and document the results. The modeling approach is tested by using real data from one large tomato company and the outcomes are promising. The optimization approach provides information regarding potential process bottlenecks since the agricultural and industrial stages are jointly modeled by linear programming where the CPLEX/GAMS is employed to solve the model.

Idioma: Inglês

Tipo (Avaliação Docente): Científica