GitHub - JanSpreitzenbarth/1_TCO_Prediction_with_AI_Methods_Case_Study: The goal of this research is to understand more clearly the lifecycle costs of supplier selection using methods of artificial intelligence (AI) with a total cost of ownership (TCO) model.

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The goal of this research is to understand more clearly the lifecycle costs of supplier selection using methods of artificial intelligence (AI) with a total cost of ownership (TCO) model.

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20200606_ERS_Poster_PredictingTCOforSupplierSelection_Mannheim_Spreitzenbarth_Jan.pdf		20200606_ERS_Poster_PredictingTCOforSupplierSelection_Mannheim_Spreitzenbarth_Jan.pdf
20200606_ERS_Working Paper_Predicting TCO for Supplier Selection_Mannheim_Spreitzenbarth_Jan.pdf		20200606_ERS_Working Paper_Predicting TCO for Supplier Selection_Mannheim_Spreitzenbarth_Jan.pdf
Overview of artificial intelligence methods in procurement.png		Overview of artificial intelligence methods in procurement.png
Relationship of the volume change and price during the life cycle.png		Relationship of the volume change and price during the life cycle.png
Summary of the case study of empirical evaluation.png		Summary of the case study of empirical evaluation.png

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The goal of this research is to understand more clearly the lifecycle costs of supplier selection using methods of artificial intelligence (AI) with a total cost of ownership (TCO) model.

ai prediction supply procurement purchasing tco supply-chain-management artificial-intelligence-models total-costs

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