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A discrete event simulation model for harvest operations under stochastic conditions

Abstract : This study presents an application of stochastic discrete-event simulation modelling for harvesting, transportation and storage activities of one grain and oilseed agricultural cooperative. Gathering the harvest represents an important stage for both agricultural cooperatives and individual farmers, that requires an efficient management in order to ensure a high production quality and yield. For the purpose to take into account the intricacy and the dynamic behaviour of the studied system, the model proposed here, considers various inherent heterogeneous parameters, such as: daily meteorological uncertainty, loss queuing networks, farmers contractual delivery policies, etc. This paper applies discrete and stochastic simulation techniques in order to analyse and evaluate the performance of the cooperative supply chain system. Moreover, it enables to investigate alternative configurations and strategies of its operations for an eventual supply chain redesign.
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Submitted on : Thursday, May 28, 2020 - 2:52:31 PM
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Valeria Borodin, Faicel Hnaien, Nacima Labadie, Jean Bourtembourg. A discrete event simulation model for harvest operations under stochastic conditions. 2013 IEEE 10th International Conference on Networking, Sensing and Control (ICNSC 2013), Apr 2013, Evry, France. pp.708-713, ⟨10.1109/ICNSC.2013.6548825⟩. ⟨hal-02640510⟩



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