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Transportation Industry Solutions

SPAR applies system engineering principles, predictive modeling and simulation capabilities to maximize asset productivity, prolong asset life, increase availability, and reduce ownership cost - while meeting system performance objectives.

This is especially applicable in the transportation arena, with large fleets of high-cost, high-performance, and high-maintenance assets operating under tight schedule and budget constraints.

Clockwork Solutions' specific capabilities in the transportation industry include:

  • Examining the transportation network infrastructure on a segment-by-segment basis using the distributions obtained from SPAR. SPAR's interface allows the user to modify model parameters, changing
    • traffic evolution by type (intercity lines, regional lines, freight) and by segment
    • parameters concerning cost evaluations
    • policy of replacement with respect to the rate of failed elements on the segment, the maximum age reached by an element on a segment, and renewal dependencies
  • Examining rollingstock performance, and the predictive maintenance required based on required safety hazards and operational performance goals.
  • Determining the minimal capital investment required to achieve performance objectives
  • Assessing and optimizing asset operability
  • Identifying performance and cost drivers, and sources of risk
  • Customizing support practices and resources to fit asset operating profile and age
  • Quantifying the benefits of proposed improvements

SPAR helps fleet managers answer such key questions as:

  • How can I optimize my maintenance policies to increase the lives of my vehicles and decrease cost?
  • Is my maintenance staff sufficient to cover my requirements?
  • Do I have enough spare parts on hand at all times, and are they the right spares?
  • Do I have too many spares?
SPAR simulations are used by transportation enterprises worldwide to provide answers to questions such as:
  • What is the predicted performance and life cycle cost given a certain usage profile of assets (e.g., wagons or locomotives)?
  • What size of fleet is necessary to guarantee a certain performance target with a given network of services?
  • Can life cycle costs be reduced without adversely affecting performance?
  • What are the costs associated with assets not meeting performance goals?
  • How will reorganization of repair and maintenance resources affect asset availability?
  • How will changing the spare parts regime affect cost and asset availability?

For more information:

Asset Performance Modeling, Total Life-Cycle System Management, Performance-Based Logistics, Condition-Based Maintenance, SPAR Modeling Platform and SPAROpt – Spare Parts Optimization

Also download the following selected documents from our Information Center:

SPARbahn for the Railroad Industry Sector – Technology Announcement
Increasing Truck Fleet Life – Increases Mining Profits

 

 
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