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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