http://hdl.handle.net/STDB_UNAM/519 2026-04-18T10:34:48Z 2026-04-18T10:34:48Z Djalal, Chorouk http://hdl.handle.net/STDB_UNAM/587 2024-11-17T13:44:41Z 2024-01-01T00:00:00Z

Enhancing production efficiency , reduction of deffects and eleminating bottlnecks in production Line 01 : A combined EFESO’s problem solving system and Lean six sigma approach . Djalal, Chorouk This thesis has demonstrated the powerful impact of integrating a structured problemsolving system with Lean Six Sigma methodologies to optimize production processes. In today's competitive environment, improving both efficiency and quality is crucial, and the combination of these approaches provides a robust framework for sustainable improvement. The research has shown that using Lean Six Sigma alongside a systematic problem-solving approach helps identify and eliminate bottlenecks, reduce defects, and minimize waste, leading to significant gains in operational performance. Lean tools, such as value stream mapping and 5S, were effective in eliminating nonvalue- added activities like excess movement and waiting, resulting in more streamlined workflows and better resource use. Meanwhile, Six Sigma methods, including DMAIC and root cause analysis, focused on reducing process variability and defects, ensuring that improvements were both targeted and impactful. Together, these methodologies provided a balanced approach—improving process speed and efficiency while maintaining high-quality standards. The results from the case study revealed substantial improvements, such as increased Overall Equipment Effectiveness (OEE) and reduced defect rates. Standardizing corrective actions and implementing visual management tools across all production lines ensured that these improvements were sustained. This approach also helped instill a culture of continuous improvement, where teams are encouraged to monitor, analyze, and enhance their processes continuously.

2024-01-01T00:00:00Z GAOUAR, Rim Djazia TERKI HASSAINE, Mohieddine El-Hadi http://hdl.handle.net/STDB_UNAM/571 2024-09-23T09:34:34Z 2024-07-07T00:00:00Z

Formulation and mathematical programming heuristic for Flexible Layout Design Problem GAOUAR, Rim Djazia; TERKI HASSAINE, Mohieddine El-Hadi This thesis investigates the Flexible Layout Design Problem (FLDP), which involves a set of stations arranged in a matrix-structured manufacturing system (MMS). Initially, the main objectives are to minimize the number of stations used and to minimize the flow of transport between stations. Subsequently, we implement a Mixed-Integer Linear Programming (MILP) model which integrate resource allocations into the FLDP and propose a matheuristic method to address the problem. We conduct tests using a chosen dataset for 20 minutes and then for 5 minutes. Finally, we discuss the results obtained and conclude with perspectives for future research.

2024-07-07T00:00:00Z SARI, Manel CHERIF TOUIL, Assia http://hdl.handle.net/STDB_UNAM/569 2024-09-23T08:50:04Z 2024-07-02T00:00:00Z

Développement d'une application VBA pour l'ordonnancement des produits au sein de l'entreprise SOPHAL SPA SARI, Manel; CHERIF TOUIL, Assia Ce mémoire traite des défis de l'ordonnancement de la production dans l'atelier de l'unité 2 de SOPHAL SPA, une entreprise pharmaceutique algérienne. Les limites des outils existants ont conduit au développement d'une application VBA personnalisée basée sur un algorithme de recuit simulé afin d'optimiser les processus de production. La solution propose un ordonnancement optimal en tenant compte des diverses contraintes, notamment, elle est théoriquement solide et pratiquement applicable, ce qui permet de répondre aux défis spécifiques de l'ordonnancement dans un contexte de production complexe.

2024-07-02T00:00:00Z Boumedien, Meriem Khorsi, Sarra Hadile http://hdl.handle.net/STDB_UNAM/568 2024-09-23T08:40:03Z 2024-07-04T00:00:00Z

Développement et Implémentation d'un robot désinfectant a base des lampes ultraviolets pour diverses applications Boumedien, Meriem; Khorsi, Sarra Hadile Pour répondre à la demande croissante de désinfection dans des environnements sensibles, nous avons développé un robot suiveur de ligne innovant utilisant la technologie UV pour désinfecter les surfaces et l'air. Ce robot polyvalent suit les lignes noires grâce à des capteurs infrarouges et évite les obstacles avec un capteur de distance. Il intègre également un capteur MQ135 pour surveiller la qualité de l'air. La conception en 3D assure la protection et la stabilité des lampes UV. Cette solution innovante améliore la sécurité et réduit les risques de contamination sans utiliser de produits chimiques nocifs.

2024-07-04T00:00:00Z