A Branch-and-Price-and-Cut approach for Sustainable Crop Rotation Planning
Laurent Alfandari (),
Agnès Plateau () and
Xavier Schepler ()
Additional contact information
Laurent Alfandari: ESSEC Business School
Agnès Plateau: CEDRIC - Centre d'études et de recherche en informatique et communications - ENSIIE - Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise - CNAM - Conservatoire National des Arts et Métiers [CNAM]
Xavier Schepler: LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes - ULH - Université Le Havre Normandie - NU - Normandie Université - UNIROUEN - Université de Rouen Normandie - NU - Normandie Université - INSA Rouen Normandie - Institut national des sciences appliquées Rouen Normandie - INSA - Institut National des Sciences Appliquées - NU - Normandie Université
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Abstract:
In this paper, we study a multi-periodic production planning problem in agriculture. This problem belongs to the class of crop rotation planning problems, which have received increased attention in the literature in recent years. Crop cultivation and fallow periods must be scheduled on land plots over a given time horizon so as to minimize the total surface area of land used, while satisfying crop demands every period. This problem is proven strongly NP-hard. We propose a 0-1 linear programming compact formulation based on crop-sequence graphs. An extended formulation is then provided with a polynomial-time pricing problem, and a Branch-and-Priceand- Cut (BPC) algorithm is presented with adapted branching rules and cutting planes. The numerical experiments on instances varying the number of crops, periods and plots show the effectiveness of the BPC for the extended formulation compared to solving the compact formulation, even though these two formulations have the same linear relaxation bound.
Keywords: OR in agriculture; crop rotations; production planning; column generation; branch-and-price-and-cut (search for similar items in EconPapers)
Date: 2014-03-26
New Economics Papers: this item is included in nep-agr and nep-cmp
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