http://hdl.handle.net/STDB_UNAM/518 Sat, 18 Apr 2026 10:57:30 GMT 2026-04-18T10:57:30Z http://hdl.handle.net/STDB_UNAM/588 RISK MANAGEMENT UNDER ISO 31000 : 2018 : DEVELOPING A MARKETING STRATEGY TO DRIVE SALES IN SPA SFCPA JUMBO Djalal, Chorouk La recherche conclut que l'intégration des pratiques de gestion des risques selon ISO 31000 dans les stratégies marketing offre un avantage significatif pour la compétitivité des entreprises. En utilisant des outils d'analyse tels que SWOT, AMDEC et la segmentation du marché, les entreprises peuvent anticiper les risques, optimiser leurs stratégies et assurer la durabilité à long terme. L'étude préconise une approche plus intégrée, où les décisions marketing sont alignées avec les évaluations des risques pour stimuler la croissance et garantir un avantage concurrentiel. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/STDB_UNAM/588 2024-01-01T00:00:00Z http://hdl.handle.net/STDB_UNAM/587 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. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/STDB_UNAM/587 2024-01-01T00:00:00Z http://hdl.handle.net/STDB_UNAM/572 Heuristic for Flexible Layout Design Problem GAOUAR, Rim Djazia; TERKI HASSAINE, Mohieddine El-Hadi Dans ce projet de fin d’études,nous introduisons une heuristique de construction en quatre étapes pour aborder le problème de conception de disposition flexible (FLDP). Les objectifs sont de minimiser le nombre de stations et le flux de transport. Tout d’abord, nous développons un niveau de graphe pour les modèles, puis nous affectons les tâches aux stations en utilisant la règle des successeurs maximaux. Ensuite, nous cartographions les emplacements et les itinéraires des stations de disposition et utilisons un modèle mathématique pour déterminer l’allocation des flux. Enfin, nous analyserons les résultats et conclurons avec des perspectives de recherche future. Sun, 07 Jul 2024 00:00:00 GMT http://hdl.handle.net/STDB_UNAM/572 2024-07-07T00:00:00Z http://hdl.handle.net/STDB_UNAM/571 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. Sun, 07 Jul 2024 00:00:00 GMT http://hdl.handle.net/STDB_UNAM/571 2024-07-07T00:00:00Z