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

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Cleber Rocco (Author) FEUP; Bernardo Almada Lobo (Author) FEUP; Reinaldo Morabito (Author) Other

Conference proceedings International

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

Pages: 1-12

XLV SBPO - Simpósio Brasileiro de Pesquisa Operacional

Natal Brasil, 16 a 19 de setembro de 2013

Scientific classification

FOS: Engineering and technology

CORDIS: Technological sciences

Other information

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.

Language: English

Type (Professor's evaluation): Scientific