Combined modelling of production of merchantable phosphoric ores using parallel processors and their transportation by pipeline

Mouna Bamoumen, Vincent Hovelaque () and Vincent Giard ()
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Mouna Bamoumen: CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique
Vincent Hovelaque: CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique
Vincent Giard: LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique

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Abstract: Abstract This paper focuses on managing the production and transfer of phosphoric merchantable ores (MOs) in a pull-flow mode of a supply chain that is currently addressed with limited effectiveness. MOs are obtained by washing extracted source ores in parallel lines, using alternative routings that change their weight and composition, before blending in tanks to achieve the required quality defined by a set of compositional constraints. The pipe transfer program defines the batches to be transported and their schedule, considering downstream demand (a roughly stable demand from the chemistry and irregular export demands (export orders of large quantities of MOs)), preventive maintenance of pipe or washing lines and prevention of defusing and saturation in the tanks of the delivery pipe station. A daily used Decision Support System (DSS) encapsulates two models used sequentially and sharing technical, availability, capacity, and quality constraints; then, the optimal solution of the transfer model is adapted to create the order book processed by the original blending model to obtain an optimal joint production and pipe transfer program. It also provides ways to improve SC performance while considering its impact on the chemical production performance.

Keywords: Supply Chain Performance; Flow Synchronisation; Pipe Transportation; Blending; Penalty Costs; Decision Support System (search for similar items in EconPapers)
Date: 2024-06
Note: View the original document on HAL open archive server: https://univ-rennes.hal.science/hal-04645347v1
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Published in Computers & Industrial Engineering, 2024, 192, pp.110168. ⟨10.1016/j.cie.2024.110168⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04645347

DOI: 10.1016/j.cie.2024.110168

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