Leveraging Advanced Planning Tools to Determine Optimal Asset Acquisition Strategies
Many freight railways are aware of the benefits advanced planning and scheduling tools can provide in producing efficient operating plans for trains, wagons, locomotives and crews to reduce operating costs. However did you know these same tools can be a crucial aid in informing rolling stock acquisitions and ensuring expensive acquisitions are for the right number and type of wagons and locomotives?
In this webinar, "Leveraging Advanced Planning Tools to Determine Optimal Asset Acquisition Strategies," you will learn how your organization can leverage planning tools to reduce your operational rolling stock requirement and reduce future capital acquisitions.
- A brief overview of Navis’ portfolio of rail products and solutions
- How a European freight rail operator and US Class 1 determined optimal locomotive and wagon acquisition plans
- How rapid iteration of scenarios using optimization is used to analyze fleet outcomes
- How domain specific user interfaces drive understanding of operational opportunities to reduce rolling-stock
About our Presenters:
Tom Forbes, Head of Rail
Tom Forbes, Navis’s Head of Rail, has worked with railways across Australia, Europe and North America delivering advanced planning, scheduling and optimization software solutions for the past two decades. Tom has an extensive background in leading companies that deliver planning and operational software solutions leveraging mathematics to deliver efficiencies across transportation, aviation and rail. He has first-hand experience in delivering innovation into railways such as Kansas City Southern, SNCF, Aurizon and Pacific National and is passionate about the benefits that new technologies and approaches provide.
Matt Herbert, Manager Field Operations, Navis Rail
Matt Herbert is Navis Rail’s Senior Manager for Field Operations. He is a business analyst, mathematician and project manager with extensive rail experience. Matt has led the delivery of many system implementations and consultancy projects to railways that have delivered significant savings, including; optimizing rollingstock allocations and reducing fleet sizes, multiple analytics consulting projects to identify opportunities to reduce fuel usage, predictive analytics utilizing machine vision data and other data sources to identify root causes of asynchronous wheel wear, and the delivery of a system to schedule and manage border crossings at an international railway bridge.