Abstract
This chapter presents optimization approaches based on mathematical programming to support aggregate production and logistics planning in seed corn supply chains. The focus is on linear programming models of the literature that integrate production, inventory, and distribution decisions in practical settings. In the development of these tactical models, besides aiming to minimize production and logistics costs, special efforts have been made to reduce forecasting bias and to incorporate tax planning. Although the models involve thousands of variables and constraints, their solution is reasonably easy to obtain using standard linear programming software. Also, their application to analyze actual situations resulted in important economical and organizational benefits to the studied seed corn companies.
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Junqueira, R.A.R., Morabito, R. (2015). Production and Logistics Planning in Seed Corn. In: Plà -Aragonés, L. (eds) Handbook of Operations Research in Agriculture and the Agri-Food Industry. International Series in Operations Research & Management Science, vol 224. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2483-7_3
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DOI: https://doi.org/10.1007/978-1-4939-2483-7_3
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