0000000000656649

AUTHOR

Ilyas Mzougui

showing 4 related works from this author

Assessing supply chain risks in the automotive industry through a modified MCDM-based FMECA

2020

Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCRs) is crucial, and is currently a very active field of research. Failure Mode, Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assess…

Risk analysisSupply chain risk managementcriticality and risk analysisComputer scienceAHPSupply chain09.- Desarrollar infraestructuras resilientes promover la industrialización inclusiva y sostenible y fomentar la innovaciónAutomotive industryAnalytic hierarchy processBioengineeringcriticality and risk analysi02 engineering and technologylcsh:Chemical technologySystems engineeringlcsh:Chemistry0502 economics and businessSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringChemical Engineering (miscellaneous)lcsh:TP1-1185systems engineeringbusiness.industryProcess Chemistry and Technology05 social sciencesCriticality and risk analysisFuzzy DEMATELSupply chainMultiple-criteria decision analysis12.- Garantizar las pautas de consumo y de producción sosteniblesFailure mode effects and criticality analysislcsh:QD1-999Risk analysis (engineering)020201 artificial intelligence & image processingMATEMATICA APLICADAbusinessFailure mode and effects analysis050203 business & managementFMECA
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A risk evaluation framework for the best maintenance strategy: the case of a marine salt manufacture firm

2020

Highlights • This paper proposes a MCDM framework to support risk evaluation for maintenance activities. • The ANP is proposed to select the best maintenance strategy on the basis of real systems’ features. • The ELECTRE III is used to prioritise the main risks related to the interventions of the selected maintenance policy. • The proposed framework is applied to a core subsystem of a real-world marine salt manufacture firm.

Computer scienceSalt (cryptography)Analytic network processmedia_common.quotation_subject0211 other engineering and technologies09.- Desarrollar infraestructuras resilientes promover la industrialización inclusiva y sostenible y fomentar la innovación02 engineering and technologyArticleIndustrial and Manufacturing EngineeringSettore ING-IND/17 - Impianti Industriali MeccaniciELECTRESafety Risk Reliability and QualityMaintenance policy selection risk evaluation ANP ELECTRE IIImedia_commonELECTRE III021110 strategic defence & security studies021103 operations researchRisk evaluationMultiple-criteria decision analysisRisk evaluationInterdependenceCore (game theory)Intervention (law)Risk analysis (engineering)Maintenance policy selectionMATEMATICA APLICADAANP
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Contingency plan selection under interdependent risks

2021

Managing supply chain risks (SCRs) has become an increasingly strategic key factor over the last decade, aimed at pursuing and maintaining business success. These types of risks clearly pose an important challenge to managers nowadays, and evaluating uncertainty affecting business scenarios is crucial. Indeed, COVID-19 has been dangerously affecting supply chains of global manufacturers, and is indicated as a main trigger cause of supply chain disruptions for a huge number of enterprises. Major effects derived from epidemic outbreaks on supply chains should be further adequately investigated since enterprises have been adopting poor risk management plans [1] to face them. Many companies, fo…

contingency strategysupply chain risksMATEMATICA APLICADAANP
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Multi-criteria risk classification to enhance complex supply networks performance

2021

[EN] Management of complex supply networks is a fundamental business topic today. Especially in the presence of many and diverse stakeholders, identifying and assessing those risks having a potential negative impact on the performance of supply processes is of utmost importance and, as a result, implementing focused risk management actions is a current lively field of research. The possibility of supporting Supply Chain Risks Management (SCRM) is herein explored from a Multi-Criteria Decision-Making (MCDM)-based perspective. The sorting method ELimination Et Choix Traduisant la REalite (ELECTRE) TRI is proposed as a structural procedure to classify Supply Chain Risks (SCRs) into proper risk…

Supply chain risk managementApplication ArticleComputer sciencebusiness.industryAutomotive industryManagement Science and Operations ResearchMultiple-criteria decision analysisComputer Science ApplicationsManagement Information SystemsIntervention (law)Identification (information)Risk analysis (engineering)Multi-criteria decision-makingELECTRE TRIELECTREMATEMATICA APLICADASet (psychology)businessSupply chain managementRisk managementInformation SystemsSupply chain riskOPSEARCH
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