Project Performance Analysis Using Hierarchical Clustering Method
2021 ◽
Vol 11
(7)
◽
pp. 28-37
Keyword(s):
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
2019 ◽
Vol ahead-of-print
(ahead-of-print)
◽
2020 ◽
Vol 29
(3)
◽
pp. 1021-1030
2018 ◽
Vol 11
(3)
◽
pp. 104
◽
Keyword(s):
2020 ◽
Vol 9
(1)
◽
pp. 169
Keyword(s):
2019 ◽
Vol 7
(11)
◽
pp. 4396
2016 ◽
Vol 3
(4)
◽
pp. 250
◽
2018 ◽
Vol 16
(3)
◽
pp. 340-344
Keyword(s):