Development of a Model to Gauge Second‐order Effects of Train Component Upgrades. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Scott, William; Cao, Vu Lam; Peculis, Ricardo; Campbell, Peter
• Is Part Of: INCOSE International Symposium. Volume 27:Issue 1(2017)
• Page Start: 1395
• Page End: 1407
• Publication Date: 2017-07
• Subjects: Systems engineering -- Congresses; Systems engineering -- Periodicals; 620.0011
• DOI: 10.1002/j.2334-5837.2017.00436.x
• Languages: English
• ISSNs: 2334-5837

Abstract

Abstract: When upgrading rail infrastructure ROI‐based decisions partly rely on the demonstration of immediate improvements from those upgrades to the system. The rail industry is beginning to suffer in some areas from diminishing ROI from improving parts of its infrastructure. To inform decisions and help justify large expenditures, modelling needs to be done to detect the likely improvement to dependent systems as well as the primary system. Sydney Trains (ST) has undertaken a pilot study to demonstrate how modelling can be used to propagate performance changes made in one sub‐system into its dependent neighbors. The trial examines how to model the effect of improvements to the air dryer on the reliability and lifecycle of pneumatic systems of the Tangara train which utilize the air: the doors and brakes. The very detailed level model in this case helps provide evidence of improved reliability in these dependent systems can then be used to further justify the ROI and to assist in assessing the safety of the system on an ongoing basis.