6533b860fe1ef96bd12c393e
RESEARCH PRODUCT
Performance Evaluation for a Sustainable Supply Chain Management System in the Automotive Industry Using Artificial Intelligence
Dan DobrotǎManuel DumitrascuOana Dumitrascusubject
neural networkComputer scienceSupply chainAutomotive industryBioengineeringContext (language use)010501 environmental scienceslcsh:Chemical technologyrisk management01 natural scienceslcsh:Chemistry0502 economics and businessChemical Engineering (miscellaneous)lcsh:TP1-1185Risk management0105 earth and related environmental sciencesSupply chain managementbusiness.industryProcess Chemistry and Technology05 social sciencesdata miningRoot causeartificial intelligenceperformance evaluationlcsh:QD1-999key performance indicatorManagement systemArtificial intelligencePerformance indicatorbusiness050203 business & managementdescription
Increasing the sustainability of a system can be achieved by evaluating the system, identifying the issues and their root cause and solving them. Performance evaluation translates into key performance indicators (KPIs) with a high impact on increasing overall efficacy and efficiency. As the pool of KPIs has increased over time in the context of evaluating the supply chain management (SCM) system&rsquo
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-10-30 | Processes |