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Asset
Engineering
Services

Case Study: KiwiRail, NZ

Asset Engineering Services embarked upon a significant Organisational Change Management program to develop culture and follow a RoadMap to realising the strategic benefits of moving to effective longer-term engineering practices, processes and systems.

Client:

KiwiRail, NZ

Asset Category:

Rail

Service Category:

Strategic / Planning, Design, Operations & Maintenance, Works Programs, Supporting Systems

Project Duration:

November 2015 to January 2019

Location:

Wellington NZ

Project Value:

AU $0.5 million

Overview of Works:

After years of simply having to make do, there was limited understanding and cultural acknowledgement throughout the organisation of the strategic benefits of moving to effective longer-term engineering practices, processes and systems. Before the business benefits could be realised, Asset Engineering Services embarked upon a significant Organisational Change Management program.

Asset Engineering Services worked with the Network Planning and Delivery Group to raise business maturity, and in the absence of Group-wide consistent engineering processes and practices, we firstly focused on developing an asset management organisational culture through the development of a Strategic Asset Management Plan.

Deliverables / Outcomes:

Asset Engineering Services provided a wide range of deliverables as part of our scope of works, including:

  • Strategic Asset Management Plan
  • Organisational Change Management Strategy, along with the concept of a “Centre of Excellence” stemming from the organisation examination (business and personnel), reviews and critiques
  • Development of ToR for a newly established Strategic Asset Management Committee
  • Building Blocks RoadMap for business improvement including the identification and briefs for major projects
  • Program development and management
  • Priority-based Forward Works Program for all rail engineering discipline assets through a series of rigorous workshops focused on examining the asset’s performance requirements, both physical and functional – age, condition, obsolescence, operational performance, risks
  • AMIS system development including the design and implementation of a Data Science and Engineering Support Services team focused on information improvement activities with the view to improve quality in support of all decision-making
  • Community of Practice design and evolution

Key Findings: