A multi-step rolled forward chance-constrained model and a proactive dynamic approach for the wheat crop quality control problem

被引：6

作者：

Borodin, Valeria ^{[1
,2
]}

Bourtembourg, Jean ^{[2
]}

Hnaien, Faicel ^{[1
]}

Labadie, Nacima ^{[1
]}

机构：

[1] Univ Technol Troyes, Charles Delaunay Inst ICD, Lab Ind Syst Optimizat LOSI, ICD LOSI, F-10004 Troyes, France

[2] Agr Cooperat Soc Reg Arcis Sur Aube SCARA, F-10700 Villette Sur Aube, France

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2015年 / 246卷 / 02期

关键词：

OR in agriculture; Multi-step joint chance constrained programming; Proactive dynamic approach; Exogenous Markov decision process; Wheat crop quality control; STOCHASTIC PROGRAMS; OPTIMIZATION; DEMAND;

D O I：

10.1016/j.ejor.2015.04.048

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Handling weather uncertainty during the harvest season is an indispensable aspect of seed gathering activities. More precisely, the focus of this study refers to the multi-period wheat quality control problem during the crop harvest season under meteorological uncertainty. In order to alleviate the problem curse of dimensionality and to reflect faithfully exogenous uncertainties revealed progressively over time, we propose a multi-step joint chance-constrained model rolled forward step-by-step. This model is subsequently solved by a proactive dynamic approach, specially conceived for this purpose. Based on real-world derived instances, the obtained computational results exhibit proactive and accurate harvest scheduling solutions for the wheat crop quality control problem. (C) 2015 Elsevier BAT. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved.

引用

页码：631 / 640

页数：10

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