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Production and Logistics Planning in Seed Corn

In: Handbook of Operations Research in Agriculture and the Agri-Food Industry

Author

Listed:
  • Rogerio A. R. Junqueira

    (Universidade Federal de Sao Carlos)

  • Reinaldo Morabito

    (Universidade Federal de Sao Carlos)

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.

Suggested Citation

  • Rogerio A. R. Junqueira & Reinaldo Morabito, 2015. "Production and Logistics Planning in Seed Corn," International Series in Operations Research & Management Science, in: Lluis M. Plà-Aragonés (ed.), Handbook of Operations Research in Agriculture and the Agri-Food Industry, edition 127, chapter 0, pages 55-77, Springer.
    • Handle: RePEc:spr:isochp:978-1-4939-2483-7_3
    DOI: 10.1007/978-1-4939-2483-7_3
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    Cited by:

    1. Foucart, Clément & Vidmar, Matija, 2024. "Continuous-state branching processes with collisions: First passage times and duality," Stochastic Processes and their Applications, Elsevier, vol. 167(C).

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