Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control
In the industry and logistic the production process is the sequence that aims to convert raw materials into finished or semi-finished products. It is identified as one of the most complex phases of the supply chain due to its close interdependence with other processes such as replenishment. In this...
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| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
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| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00026.pdf |
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| author | Elbaraka Saad Mokhlis Salah-eddine Barra Adil Fouraiji Hicham |
| author_facet | Elbaraka Saad Mokhlis Salah-eddine Barra Adil Fouraiji Hicham |
| author_sort | Elbaraka Saad |
| collection | DOAJ |
| description | In the industry and logistic the production process is the sequence that aims to convert raw materials into finished or semi-finished products. It is identified as one of the most complex phases of the supply chain due to its close interdependence with other processes such as replenishment. In this perspective, the efficiency of the manufacturing process essentially relies on the decisions of the responsible operators for supplying machines with raw materials. These decisions do not ensure optimal operation efficiency. This document proposes a scientific study based on the modelling and control of the production process in a smart industry perspective. Initially, one will present a modelling of the manufacturing system conceptualized as an industrial machine, as well as the replenishment policy, that will be conceived as a control loop tuning the raw material supplies quantities into the production machine following a proposed architecture.
We will then proceed to simulate this scenario using the Simulink interface to identify the most influential parameters and improve them. |
| format | Article |
| id | doaj-art-3731e79002aa4a9d8c0cc496fc910c54 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-3731e79002aa4a9d8c0cc496fc910c542025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010002610.1051/e3sconf/202560100026e3sconf_icegc2024_00026Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment controlElbaraka Saad0Mokhlis Salah-eddine1Barra Adil2Fouraiji Hicham3Laboratory of Electrical and industrial, Engineering, Information, Processing and Logistic. Faculty of sciene Ain ChokLaboratory of Electrical and industrial, Engineering, Information, Processing and Logistic. Faculty of science Ain ChokLaboratory of Electrical and industrial, Engineering, Information, Processing and Logistic. Faculty of sciene Ain ChokLaboratory of Electrical and industrial, Engineering, Information, Processing and Logistic. Faculty of science Ain ChokIn the industry and logistic the production process is the sequence that aims to convert raw materials into finished or semi-finished products. It is identified as one of the most complex phases of the supply chain due to its close interdependence with other processes such as replenishment. In this perspective, the efficiency of the manufacturing process essentially relies on the decisions of the responsible operators for supplying machines with raw materials. These decisions do not ensure optimal operation efficiency. This document proposes a scientific study based on the modelling and control of the production process in a smart industry perspective. Initially, one will present a modelling of the manufacturing system conceptualized as an industrial machine, as well as the replenishment policy, that will be conceived as a control loop tuning the raw material supplies quantities into the production machine following a proposed architecture. We will then proceed to simulate this scenario using the Simulink interface to identify the most influential parameters and improve them.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00026.pdfsmart manufacturing systemproduction machinereplenishmentsmart controlsimulationstock regulation |
| spellingShingle | Elbaraka Saad Mokhlis Salah-eddine Barra Adil Fouraiji Hicham Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control E3S Web of Conferences smart manufacturing system production machine replenishment smart control simulation stock regulation |
| title | Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control |
| title_full | Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control |
| title_fullStr | Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control |
| title_full_unstemmed | Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control |
| title_short | Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control |
| title_sort | modelling and optimization of a machine production process buffer stock supply implementation and replenishment control |
| topic | smart manufacturing system production machine replenishment smart control simulation stock regulation |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00026.pdf |
| work_keys_str_mv | AT elbarakasaad modellingandoptimizationofamachineproductionprocessbufferstocksupplyimplementationandreplenishmentcontrol AT mokhlissalaheddine modellingandoptimizationofamachineproductionprocessbufferstocksupplyimplementationandreplenishmentcontrol AT barraadil modellingandoptimizationofamachineproductionprocessbufferstocksupplyimplementationandreplenishmentcontrol AT fouraijihicham modellingandoptimizationofamachineproductionprocessbufferstocksupplyimplementationandreplenishmentcontrol |