Publication | Closed Access
Evaluation of performance index in resilient supply chain: a fuzzy-based approach
56
Citations
55
References
2017
Year
Sc Resilience ExtentEngineeringIndustrial EngineeringSupply NetworkGeneralizability TheorySc Resilience PerformancePerformance Measurement SystemsMultiple-criteria Decision AnalysisFuzzy Risk AnalysisQuality Function DeploymentSupply Chain ResilienceOperations ResearchFuzzy Multi-criteria Decision-makingRisk ManagementManagementPerformance IndexLogisticsSupply ChainSystems EngineeringApplied MeasurementMulticriteria EvaluationFuzzy-based ApproachResilient Supply ChainQuantitative ManagementReliabilityFuzzy LogicSupply Chain ManagementDecision-makingResilience EngineeringBusinessIndian Automobile CompanyDecision Technology
Purpose The purpose of this paper is to develop a multi-level hierarchical framework (evaluation index system) toward evaluating an “appraisement index” from the prospectus of measuring and monitoring resilient performance of the candidate industry. Design/methodology/approach In this reporting, vagueness, imprecision, as well as inconsistency associated with subjective evaluation information (aligned with ill-defined assessment indices of SC resilience performance), has been tackled by the application of fuzzy theory. Findings Subjective evaluation information (expressed in linguistic term) acquired from the committee of decision makers (called expert group), against different resilience indices/metrics, has been fruitfully explored through the proposed fuzzy-based resilience performance appraisement module. Finally, a case study from an Indian automobile company has been conducted from the perspective of checking effectiveness of the proposed methodology for evaluation of appraisement index indicating SC resilience extent. Originality/value This methodology might be successfully applied to help other decision-making problems from the perspective of performance appraisal and benchmarking of candidate alternatives/choices under predefined criteria and subjective evaluation circumstances.
| Year | Citations | |
|---|---|---|
Page 1
Page 1