ENBIS-18 in Nancy

2 – 25 September 2018; Ecoles des Mines, Nancy (France) Abstract submission: 20 December 2017 – 4 June 2018

An Ishikawa Analysis of a Rail Network

4 September 2018, 09:40 – 10:00

Abstract

Submitted by
Chris McCollin
Authors
Chris McCollin (Nottingham Trent University), John Disney (Nottingham Trent University)
Abstract
A statistical analysis using the Ishikawa approach to problem solving was carried out on thirteen weeks of data from a local rail network. The seven tools of Quality are used in a systematic way to help identify whether the process is in control, what the major issues are and whether background rules to the system can be identified. It is found that the process is well managed with the main issue corresponding to Sunday maintenance over-runs. Customer satisfaction is monitored and the main problem apart from train reliability is due to cleanliness, most likely related to the train reliability. Two government targets are identified corresponding to gaps in the data.

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