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Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study

Forecasting MethodologyEngineeringMachine LearningAfter-market Spare PartsBusiness AnalyticsOperations ResearchData ScienceSupply ChainQuantitative ManagementPredictive AnalyticsDemand ForecastingSupply Chain ManagementForecastingMarketingFinanceProduct ForecastingIntelligent ForecastingData-driven Value ChainBusinessDemand ForecastData-driven Decision-making