Artículos de revistas
Robust Optimisation Approach Applied To The Analysis Of Production / Logistics And Crop Planning In The Tomato Processing Industry
Registro en:
International Journal Of Production Research. Taylor & Francis Ltd, v. 54, p. 5842 - 5861, 2016.
0020-7543
1366-588X
WOS:000382509200013
10.1080/00207543.2016.1181284
Autor
Rocco
Cleber D.; Morabito
Reinaldo
Institución
Resumen
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) The soluble solids content in the tomato fruit, also known as brix', and the crop yield are the most relevant uncertain parameters to determine technical and economic performance in the tomato processing industry. This paper presents a linear programming model and three robust optimisation models to deal with data uncertainty in the analysis of crop, logistics and industrial tactical planning in this industry. We focused the analysis on the production and logistics costs due to the impacts of unfavourable disturbances on the amount of soluble solids and the quantity of tomatoes processed in the system. A typical industry in this sector collaborated with this study by providing real data of its production, logistics and crop plans and with in-depth discussions. From the results, some general conclusions were outlined and we discuss the benefits of adopting the robust optimisation approach instead of a deterministic one. The robust approach proved to be a powerful tool for elaborating scenarios for uncertainty analysis in medium-term decisions, as described in this study, and clearly has potential to be employed in real contexts. 54 19 5842 5861 CAPES CNPq FAPESP, Brazil Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)