Abstract
This paper deals with the project management performance analysis in automotive industry and usage of the advanced analytics to optimize the performance of the engineering projects within the vehicle manufacturing facility. The aim is to identify and mitigate the common causes of project delay (slippage) in various engineering projects that are independent of the technical discipline where a particular project belongs to. We have used the hierarchical clustering technique here to identify the sub-groups of similar projects and further deeply analysed those ones with the highest average slippage. Keywords—Cluster analysis, Data, Delay, Distance, Hierarchical clustering, Metric, Project, Slippage, Strategy
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