A discrete event simulation model for harvest operations under stochastic conditions
| Autor: | Faicel Hnaien, Valeria Borodin, Jean Bourtembourg, Nacima Labadie |
|---|---|
| Přispěvatelé: | Laboratoire d'Optimisation des Systèmes Industriels (LOSI), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), La SCARA |
| Rok vydání: | 2013 |
| Předmět: |
2. Zero hunger
Queueing theory Engineering 021103 operations research Supply chain management Operations research business.industry Stochastic process Supply chain 0211 other engineering and technologies [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] 04 agricultural and veterinary sciences 02 engineering and technology Order (exchange) Agriculture Stochastic simulation 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Discrete event simulation business |
| Zdroj: | ICNSC 2013 IEEE 10th International Conference on Networking, Sensing and Control (ICNSC 2013) 2013 IEEE 10th International Conference on Networking, Sensing and Control (ICNSC 2013), Apr 2013, Evry, France. pp.708-713, ⟨10.1109/ICNSC.2013.6548825⟩ |
| DOI: | 10.1109/icnsc.2013.6548825 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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