Search results for "Supply chain risk management"

showing 7 items of 7 documents

A critical review on supply chain risk – Definition, measure and modeling

2015

Abstract Economic systems are increasingly prone to complexity and uncertainty. Therefore, making well-informed decisions requires risk analysis, control and mitigation. In some areas such as finance, insurance, crisis management and health care, the importance of considering risk is largely acknowledged and well-elaborated, yet rather heterogeneous concepts and approaches for risk management have been developed. The increased frequency and the severe consequences of past supply chain disruptions have resulted in an increasing interest in risk. This development has led to the adoption of the risk concepts, terminologies and methods from related fields. In this paper, existing approaches for…

Risk analysisSupply chain risk managementInformation Systems and ManagementKnowledge managementbusiness.industryStrategy and ManagementSupply chainRisk management toolsManagement Science and Operations ResearchIT risk managementIT riskRisk analysis (engineering)EconomicsbusinessRisk assessmentRisk managementOmega
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The modes of supply net management: a capability view

2007

Purpose – The purpose of this paper is to identify the key capabilities required in supply net management.Design/methodology/approach – Uses the Management Capability Framework to break down supply net management into different modes and identify capabilities required in them.Findings – Reveals that the supply activity of companies increasingly takes place in intentionally developed strategic networks called supply nets. These networks pose distinctive challenges for supply chain management. Identifies four diverse but simultaneously extant modes of management in the supply net context, and discusses the key managerial capabilities in each mode.Originality/value – Provides a conceptual fram…

Supply chain risk managementNetwork managementSupply chain managementProcess managementConceptual frameworkbusiness.industryKey (cryptography)Service managementContext (language use)Operations managementStrategic managementbusinessGeneral Business Management and AccountingSupply Chain Management: An International Journal
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Operational and financial effectiveness of e-collaboration tools in supply chain integration

2004

This paper develops a comprehensive model of supply chain integration and uses it to analyze and assess the operational and financial effectiveness of different e-collaboration tools at various levels of supply chain integration. This model is also used to evaluate the importance of the sequence in which e-collaboration tools are adopted in supply chain integration. Computational results from a validated system dynamics simulation model with different implementation sequences of e-collaboration tools and different financial scenarios show that local financial constraints can also severely impact operational and financial performance of the entire supply chain. (C) 2003 Elsevier B.V. All rig…

FinanceSupply chain risk managementInformation Systems and ManagementSupply chain integrationSupply chain managementFinancial performanceBusiness modelingGeneral Computer Sciencebusiness.industryComputer scienceSupply chainService managementOperational and financial evaluationSystem dynamicWastewater treatmentManagement Science and Operations ResearchBusiness modelFault tree analysisIndustrial and Manufacturing EngineeringSystem dynamicsSimulation resultModeling and SimulationMicrofiltrationbusinessSupply chain management
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Simulation analysis of cold chain performance based on time–temperature data

2011

Perishable goods are a fundamental source of revenue for the retail sector; their management, however, constitutes a severe challenge for retailers and supply chain partners. A significant cost in particular is the fraction of products perished through the supply chain, which also constitutes an ethical and environmental concern. Supply chain organisation and operative characteristics have a significant influence on this matter, as in fact ensuring suitable temperature conditions for the stock-keeping units throughout the supply chain is mandatory for perishable products. Recent developments in sensing and communication technologies allow detailed monitoring and control of cold chain; howev…

Supply chain risk managementSupply chain managementMonte Carlo Simulation; shelf lifeStrategy and Managementmedia_common.quotation_subjectSupply chainService managementManagement Science and Operations ResearchMonte Carlo Simulation shelf lifeIndustrial and Manufacturing EngineeringComputer Science ApplicationsProduct (business)CommerceRevenueQuality (business)BusinessCold chainIndustrial organizationmedia_common
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Up-to-Date Supply Chain Management: The Coordinated (S, R) Order-Up-to

2011

This paper presents the mathematical derivation of a new generation of the most largely used periodic review policy in supply chain: the coordinated (S, R) replenishment rule. We first derive the classical order-up-to model and then we modify it to generate the coordinated decision policy equations. We run a numerical simulation on a serial supply chain model to show differences in the two policies. We conclude on the managerial implications related to coordinated replenishment.

Supply chain risk managementMathematical optimizationSupply chain managementComputer simulationComputer scienceOrder up toSupply chain modelBullwhip effectInformation sharingSupply chain
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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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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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