Navis Rail (formerly Biarri Rail) on Oct. 7 will present a webinar, “Leveraging Advanced Planning Tools to Determine Optimal Asset Acquisition Strategies,” focused on reducing operational rolling stock requirements and future capital acquisitions.
“Many freight railways are aware of the benefits advanced planning and scheduling tools can provide in producing efficient operating plans for trains, freight cars, locomotives and crews to reduce operating costs,” says Navis Rail Vice President Kevin Foy. “However, 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 cars and locomotives.”
The webinar will include:
- How a European freight rail operator and U.S. Class I determined optimal locomotive and car 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.
The webinar concludes with a live Q&A session.
About the presenters:
Tom Forbes, formerly the CEO of Biarri Rail and currently VP of Navis’s Rail Group, has worked with railways across Australia, Europe and North America delivering advanced planning, scheduling and optimization software solutions for the past two decades. He 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 to 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 is Navis Rail’s Senior Manager for Field Operations. He is a business analyst, mathematician and project manager with extensive rail experience. Herbert has led the delivery of many system implementations and consultancy projects to railways that have delivered significant savings, including optimizing rolling stock 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.