Integrated scheduling of a multi-site mining supply chain with blending, alternative routings and co-production

Hajar Hilali, Vincent Hovelaque and Vincent Giard ()
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Hajar Hilali: 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, EMINES School of Industrial Management [UM6P] - UM6P - Université Mohammed VI Polytechnique = Mohammed VI Polytechnic University [Ben Guerir], UM6P - Université Mohammed VI Polytechnique = Mohammed VI Polytechnic University [Ben Guerir]
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: This paper proposes a multi-site global optimisation model of blending operations, alternative routings and order scheduling with a co-production flow. It is performed in a phosphoric supply chain owning three open-pit mines of different geological structures and chemical compositions, each having a dry blending plant. One main challenge of the phosphate industries is to produce merchantable ores (MO) that verify a quality charter (chemical composition) with chemical heterogeneous source ores (SO). Thus, a process of SO blending followed by a treatment is mostly necessary to obtain the required MO. Six alternative routings exist to produce an MO; one of them involving a calcination plant generates a co-product. The model objective is to determine the least costly production programme of a set of MO orders to be delivered within precise time windows, in given quantities and compliance with a specific quality charter, by assigning for each MO its blending plant, routing, blend of SOs and production schedule; it also defines the feeding of the blending plants. A real case study illustrates the proposed model.

Keywords: Integrated scheduling; multi-site; blending; alternative routings; co-production; mining supply chain (search for similar items in EconPapers)
Date: 2023
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03612471v1
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Published in International Journal of Production Research, 2023, 61 (6), pp.1829-1848. ⟨10.1080/00207543.2022.2049909⟩

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Journal Article: Integrated scheduling of a multi-site mining supply chain with blending, alternative routings and co-production (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-03612471

DOI: 10.1080/00207543.2022.2049909

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