Our Expertise

Enterprise Asset Management EAM

Large and small organizations have a significant challenge managing their asset lifecycle data. We help develop the software solution and workflows between asset condition monitoring, field work, Big Data analytics, forecasting and compliance reporting.

We have experience configuring and integrating custom asset management and maintenance management solutions in many areas including:

  • Defect and work order management
  • Work Planning
  • ROW support crew scheduling
  • ROW real estate management
  • Large asset GPS tracking
  • Cloud computing
  • Document management
  • EAMS integrated solutions
  • GIS integrated solutions

Net Consulting specializes in:

  1. Asset Management: Cataloging and monitoring the condition of your assets and components
  2. Capital Planning: Budgeting for, and Managing your asset lifecycles using multiple variables such as age and condition
  3. Maintenance Management: Prioritizing your corrective maintenance repairs using sophisticated rate of degradation and predictive analytics.
  4. Compliance: Producing regular reports documenting:
    1. Inspection frequency
    2. Defect age and frequency
    3. Defect workflow inefficiencies

We recognize that all railways/transits have their own unique infrastructure, computer systems and workflows. Net Consulting group has been in the asset management and railway technology business for over a decade leveraging both commercial railway software and custom asset management software to best meet each railway’s unique needs.

Explore how you can better manage assets and component and failure based on history and usage. Using intelligent asset management and predictive asset maintenance, you can collect and analyze asset data about history and usage to facilitate a paradigm shift from reactive repairs to preventive and predictive maintenance.

  • Our mobile and desktop solutions allow for inspection and condition data to be gathered into a centralized database and accessed from anywhere.
  • Save money and time managing components and failures based on history and usage statistics.
  • Keep transit systems in a state of good repair efficiently using automation for predicting and prioritizing maintenance.