Highway Truck Asset Management Plan

Disclaimer

This article is provided for general informational and educational purposes only. The methodologies, strategies, and examples presented are intended to illustrate asset management principles and should not be considered specific maintenance or engineering recommendations for any particular vehicle or equipment.

Always consult with qualified technicians and engineers, follow manufacturer specifications, and comply with all applicable statutes and regulations when developing maintenance programs for your specific equipment in the country, state, territory of operation.

The author assumes no responsibility for the application of this information or any consequences resulting from its use.

What’s Inside?

This article presents a reasonably asset management framework for developing highway truck asset management plans using two key methodologies:

1.    Failure Mode, Effects, and Criticality Analysis (FMECA)

2.    Reliability Centered Maintenance (RCM).

It emphasizes the importance of complementing Original Equipment Manufacturer (OEM) recommendations with site-specific strategies tailored to rugged environments like mining and construction.

Through various examples and other guidance, the article equips truck owner / operators and truck fleet asset managers with the authors personal ideas and thoughts on how to optimize reliability, reduce costs and align maintenance with broader business objectives.

Top 5 Takeaways.

1.    OEM Guidance Is Foundational Manufacturer recommendations are critical for safety, performance, warranty protection, and environmental compliance. Asset plans should build upon, not replace OEM protocols.

2.    FMECA and RCM Enable Strategic Maintenance These methodologies help identify failure modes, assess risks, and prioritize interventions based on severity, likelihood, and detectability.

3.    Context Matters Maintenance strategies must reflect the truck’s operating environment, load demands, and duty cycles to be effective and cost-efficient.

4.    Risk-Based Prioritization Improves Reliability Using Risk Priority Numbers (RPNs) and consequence classifications ensures that resources are focused on high-impact areas.

5.    Continuous Improvement Is Essential Asset management is an evolving process. Success depends on regular data analysis, performance benchmarking, and strategy refinement.

Table Of Contents.

1.    Introduction

2.    The Information That Builds Effective Asset Management

3.    Complementing OEM Maintenance Information

4.    Understanding FMECA and RCM Methodologies

o    4.1 FMECA Overview

o    4.2 RCM Overview

5.    System Definition and Functional Analysis

o    5.1 Asset Architecture

o    5.2 Function Definition

o    5.3 Operating Context Analysis

6.    FMECA Implementation

o    6.1 Failure Mode Identification

o    6.2 Effects Analysis

o    6.3 Criticality Assessment

o    6.4 Strategy Development

7.    RCM Implementation

o    7.1 Failure Consequences Classification

o    7.2 Decision Logic Process

8.    Task Selection and Optimization

o    8.1 Practical Application Examples

9.    Implementation Framework

o    Phases 1–4: Planning to Full Deployment

10. Technology Integration and Modern Tools

11. Data Management and Analysis

12. Measuring Success and Continuous Improvement

13. Other Truck Asset Management Considerations

14. Risk Management Framework

15. Conclusion

1.0 Introduction.

Effective truck asset management can complement manufacturer maintenance schedules and hopefully have you spending less time reacting to breakdowns.

It’s when we use systematic, reliability engineering approaches to understanding failure mechanisms, assessing risks, and developing targeted strategies that maximize reliability while optimizing costs.

This article is a structured framework for developing asset management plans using two proven methodologies: Failure Mode, Effects, and Criticality Analysis (FMECA) and Reliability Centered Maintenance (RCM).

To make these concepts tangible and relatable, we’ll base our examples on a generic modern-era tipper truck – the type of vehicle commonly used in construction, mining, and heavy transport applications.

By the end of this article, it is hoped that you’ve developed a richer understanding of the basic principles behind effective asset management and have the tools to engage a suitably qualified engineer and assist themwith developing optimized maintenance strategies for your specific equipment, operating conditions and business requirements.

2.0 The Information That Builds Effective Asset Management.

Roughly speaking, a lot of owner/operators might rely on one or more of these traditional maintenance approaches:

Reactive Maintenance (Run-to-Failure):

• Wait for equipment to break before taking action.
• Often results in secondary damage and higher costs.
• Creates unpredictable downtime and operational disruptions.

Preventive Maintenance (Time-Based):

• Replace components based on predetermined schedules.
• May lead to premature replacement of serviceable components.
• Doesn’t account for varying operating conditions or actual component condition.  No provision for a truck not being used for 6 months etc.

Manufacturer Recommendations:

There’s a good reason why I say that the plans we develop should complement the OEM recommendations.  Following the Original Equipment Manufacturer (OEM) instructions isn’t just a good idea, I believe it’s foundational to safety, performance and long-term value of your equipment.

Safety First: OEM instructions include vital safety protocols for operating, loading, and maintaining the truck. Ignoring them can lead to accidents, equipment failure, or even injury—especially with high-powered hydraulics and heavy payloads.

Optimal Performance: The truck is engineered to perform under specific conditions. OEM guidelines ensure the engine, transmission, suspension, and dump mechanisms operate at peak efficiency without undue strain.

Warranty Protection: Most new trucks come with a manufacturer’s warranty—but it’s only valid if the truck is used and maintained according to OEM specs. Deviating from those can void coverage, leaving the owner liable for costly repairs.

4. Preventative Maintenance: OEMs provide detailed service intervals and maintenance schedules tailored to the truck’s design. Following these helps prevent breakdowns and extends the life of critical components like brakes, axles, and hydraulics.

Correct Parts and Fluids: Using non-recommended oils, filters, or replacement parts can damage the truck or reduce its lifespan. OEM instructions specify exactly what’s compatible and safe.

Resale Value: A truck with a documented history of OEM-compliant care holds its value better, just like our cars when we go to sell them. Buyers and dealers will naturally trust vehicles that have been maintained “by the book.”

System Integration: Modern trucks have complex electronic systems, engine control units, telematics and emissions controls. OEM instructions ensure these systems are calibrated and updated correctly, avoiding software conflicts or diagnostic errors.

Environmental Compliance: OEMs design trucks to meet emissions and fuel efficiency standards. Deviating from their instructions, especially in engine tuning or fuel use, could possibly breach environmental regulations and attract fines.

Training and Familiarity: OEM manuals often include training materials for drivers and maintainers. This builds confidence and competence, reducing misuse and improving operational safety.

Load and Terrain Suitability: OEMs specify load limits, tipping angles, and terrain suitability. Ignoring these could potentially lead to rollovers, axle damage, or structural stress, especially in rugged environments like quarries or construction sites.

3. Complementing The OEM Maintenance Information.

In rugged environments such as quarries and mining sites, tipper trucks are often subjected to extreme operational demands that exceed standard design parameters. To ensure these vehicles perform reliably under such tough conditions, operators may install non-OEM equipment or make targeted modifications tailored to the specific requirements of the site and the truck’s intended role.

These modifications, could range from reinforced suspension components to custom hydraulic systems or enhanced filtration and are typically guided by structured asset management methodologies such as Reliability-Centered Maintenance (RCM) and Failure Modes, Effects, and Criticality Analysis (FMECA). These techniques allow reliability engineers and the maintenance teams to systematically assess potential failure points, prioritize risks, and develop mitigation strategies that align with the truck’s operational context.

Importantly, I don’t think that they would say that these enhancements are intended to replace the Original Equipment Manufacturer’s (OEM) specifications, but to complement them. The OEM documentation would I imagine remain the foundational reference for the majority of the truck’s systems, ensuring baseline safety, compliance, and performance standards are maintained.

By integrating RCM and FMECA with OEM guidance, asset managers can strike a balance between customization and reliability, optimizing the truck’s service life while adapting it to the realities of high-impact, high-load environments

The relating new asset management plans would typically look at:

1.    Understanding failure mechanisms: What actually causes components to fail.

2.    Assessing failure consequences: The business impact when failures occur

3.    Evaluating detection capabilities: How well we can predict or identify developing problems.

4.    Optimizing intervention strategies: Choosing the most cost-effective maintenance approach.

This approach forms the foundation of both FMECA and RCM methodologies.

4.0 Understanding FMECA and RCM Methodologies.

4.1 Failure Mode, Effects, and Criticality Analysis (FMECA).

FMECA is a systematic analytical technique that examines potential failure modes within a system, evaluates their effects, and assesses their relative criticality. The methodology helps answer four fundamental questions:

1.    What can fail? (Identification of failure modes)

2.    How do failures occur? (Understanding failure mechanisms)

3.    What happens when failures occur? (Analysis of failure effects)

4.    How critical is each failure? (Criticality and risk assessment)

4.2 Reliability Centered Maintenance (RCM).

RCM is a process for determining the most appropriate maintenance approach for any physical asset. Modern RCM methodology focuses on:

1.    Preserving system functions rather than just maintaining equipment

2.    Understanding failure consequences and their business impact

3.    Selecting optimal maintenance tasks based on failure characteristics

4.    Establishing appropriate intervals using risk-based decision making

5.    Ensuring cost-effectiveness of all maintenance activities

5.0 System Definition and Functional Analysis.

5.1 Defining the Asset Architecture.

For our generic tipper truck example, we need to identify the major systems and their hierarchical relationships:

Primary Vehicle Systems:

• Engine and emission control systems
• Transmission and driveline
• Hydraulic systems (body operation)
• Braking and safety systems
• Electrical and electronic systems
• Chassis, suspension, and steering
• Operator cab and controls

Support and Auxiliary Systems:

• Cooling systems (engine, transmission, hydraulics)
• Air systems (brakes, suspension)
• Fuel delivery systems
• Exhaust aftertreatment
• Diagnostic and telematics systems

5.2 Function Definition: The RCM Foundation.

Every system and component exists to fulfill specific functions. Defining these functions clearly is essential for both FMECA and RCM analysis.

Example: Generic Diesel Engine System

Primary Functions:

• Generate mechanical power within specified parameters
• Operate reliably across defined temperature and load ranges
• Meet emission standards throughout service life
• Provide consistent performance under varying conditions

Secondary Functions:

• Minimize fuel consumption for given power output
• Operate within acceptable noise and vibration levels
• Interface effectively with vehicle control systems
• Maintain lubrication system integrity

Protective Functions:

• Shut down safely when critical parameters are exceeded
• Provide diagnostic information for maintenance planning
• Prevent damage to connected systems during failures

5.3 Operating Context Analysis.

Understanding how the asset operates in your specific environment is crucial for accurate analysis:

Duty Cycle Factors:

• Operating hours per day/week/month
• Load factors and weight distributions
• Speed profiles and route characteristics
• Start/stop frequency and idle time

Environmental Conditions:

• Temperature extremes and variations
• Humidity and moisture exposure
• Dust, dirt, and contamination levels
• Corrosive environments or chemical exposure

Operational Demands:

• Performance requirements and expectations
• Availability requirements and downtime tolerance
• Safety and regulatory compliance needs
• Economic and business impact of failures

6.0 FMECA Implementation.

6.1 Systematic Failure Mode Identification.

For each component or system, systematically identify all possible failure modes. This requires combining technical knowledge with practical experience.

Information Sources:

• Technical documentation and engineering data
• Historical maintenance and failure records
• Industry databases and reliability studies
• Expert knowledge from technicians and operators

Example: Generic Heavy-Duty Transmission

Component: Main hydraulic pump Function: Provide pressurized fluid for transmission operation

Failure Mode 1: Internal wear leading to pressure loss

• Failure Mechanism: Abrasive wear, fluid contamination, thermal degradation
• Contributing Factors: Poor filtration, high operating temperatures, fluid degradation

Failure Mode 2: Seal failure causing external leakage

• Failure Mechanism: Seal material degradation, thermal cycling, chemical attack
• Contributing Factors: High temperatures, fluid compatibility, installation damage

Failure Mode 3: Drive coupling failure

• Failure Mechanism: Fatigue cracking, misalignment, overload
• Contributing Factors: Installation errors, vibration, power spikes

6.2 Effects Analysis.

For each failure mode, trace the effects through three levels:

Local Effects: What happens immediately at the component level System Effects: How the failure affects the overall system operation End Effects: The ultimate consequences for the vehicle and operation

Example: Hydraulic pump pressure loss

• Local Effects: Reduced pump output, increased noise, elevated temperature
• System Effects: Sluggish transmission response, delayed shifts, potential overheating
• End Effects: Reduced vehicle performance, operator dissatisfaction, potential breakdown

6.3 Criticality Assessment.

Assign numerical ratings to quantify the risk associated with each failure mode:

Severity (S): Consequence of the failure (Scale 1-10)

• 1-2: Minimal impact, no operational effect
• 3-4: Minor inconvenience, slight performance reduction
• 5-6: Moderate impact, noticeable performance loss
• 7-8: Significant impact, major performance degradation
• 9-10: Severe impact, safety hazard or complete failure

Occurrence (O): Likelihood of failure (Scale 1-10)

• 1-2: Extremely unlikely, robust design
• 3-4: Low probability, good reliability history
• 5-6: Moderate probability, some history of issues
• 7-8: High probability, known problem area
• 9-10: Very high probability, frequent failures

Detection (D): Ability to detect before consequences occur (Scale 1-10)

• 1-2: Easily detected, obvious warning signs
• 3-4: Good detection capability with routine monitoring
• 5-6: Moderate detection, requires specific testing
• 7-8: Difficult to detect, subtle warning signs
• 9-10: Cannot detect until failure occurs

Risk Priority Number (RPN) = S × O × D

Higher RPN values indicate higher priority for maintenance attention and resource allocation.

6.4 FMECA-Based Strategy Development.

Use the RPN ranking to prioritize maintenance efforts and develop targeted strategies:

High RPN (>300): Immediate attention required

• Implement multiple detection methods
• Consider design changes or upgrades
• Develop detailed contingency plans
• Increase inspection and monitoring frequency

Medium RPN (100-300): Structured maintenance approach

• Implement condition monitoring where feasible
• Establish appropriate inspection intervals
• Develop standardized repair procedures
• Track performance trends

Low RPN (<100): Standard maintenance practices

• Follow manufacturer recommendations
• Include in routine inspection programs
• Monitor for changes in failure patterns
• Document for future analysis

7.0 RCM Implementation.

7.1 Failure Consequences Classification.

RCM categorizes failures based on their consequences, which determines the appropriate maintenance strategy:

Hidden Failures: Not evident to operators during normal operation

• Examples: Backup system failures, redundant component failures
• Strategy Focus: Failure-finding tasks to reveal hidden failures

Safety/Environmental Consequences: Could result in injury, environmental damage, or regulatory violation

• Examples: Brake system failures, emissions control failures
• Strategy Focus: Prevent failure or provide adequate warning

Operational Consequences: Affect production, quality, or customer service

• Examples: Engine failures, transmission failures
• Strategy Focus: Prevent failure or minimize consequences

Non-Operational Consequences: Involve only direct repair costs

• Examples: Cosmetic damage, comfort system failures
• Strategy Focus: Cost optimization

7.2 RCM Decision Logic Process.

For each failure mode, apply the RCM decision logic:

Example: Generic Air Brake System Compressor Failure

Question 1: Is this failure evident to the operating crew? Answer: Yes (low air pressure warning systems alert operator)

Question 2: Does this failure have safety consequences? Answer: Yes (brake system performance degradation creates safety risk)

Question 3: Is there an effective scheduled restoration task? Answer: Limited (compressor rebuilds have variable effectiveness)

Question 4: Is there an effective condition-monitoring task? Answer: Yes (air pressure trends, compressor duty cycle, oil analysis)

RCM Decision: Implement condition-based maintenance using multiple monitoring parameters with safety-focused inspection intervals.

8.0 Task Selection and Optimization.

RCM provides specific guidance for selecting the most appropriate maintenance tasks:

Condition-Based Maintenance: When failures develop over time with detectable symptoms

• Applications: Bearing wear, fluid degradation, filter loading
• Techniques: Vibration analysis, oil analysis, performance trending
• Advantages: Maximizes component life, optimizes resource utilization

Time-Based Maintenance: When failures occur at predictable intervals

• Applications: Wear items with known life limits, age-related degradation
• Techniques: Calendar-based or hour-based replacement schedules
• Advantages: Predictable costs, simplified planning

Failure-Finding Maintenance: For hidden failures that don’t affect normal operation

• Applications: Backup systems, safety devices, redundant components
• Techniques: Functional testing, proof testing, diagnostic verification
• Advantages: Ensures protection when needed

Run-to-Failure: When maintenance is not cost-effective

• Applications: Low-cost items with minimal failure consequences
• Techniques: Replace only when failed
• Advantages: Minimizes maintenance costs for appropriate applications

8.1 Practical Application Examples.

Example 1: Engine Lubrication System (FMECA Approach)

Component: Engine oil and filtration system Function: Provide clean, pressurized lubrication to engine components

FMECA Analysis:

• Failure Mode: Oil contamination leading to bearing damage
• Severity: 9 (catastrophic engine failure possible)
• Occurrence: 3 (well-understood, controllable failure mode)
• Detection: 2 (easily monitored through oil analysis)
• RPN: 54

Risk-Based Maintenance Strategy:

1.    Primary Prevention: Quality oil selection and proper change intervals

2.    Condition Monitoring: Regular oil analysis to detect contamination trends

3.    Predictive Maintenance: Extend or shorten intervals based on oil condition

4.    Contingency Planning: Emergency procedures for severe contamination detection

Example 2: Hydraulic System (RCM Approach)

System: Body lifting hydraulic system Function: Safely raise and lower truck body for load dumping

RCM Analysis: Failure Mode: Hydraulic cylinder seal failure causing loss of lift capability

Consequence Analysis:

• Evident to operator: Yes (loss of function immediately apparent)
• Safety consequences: Moderate (potential for load shifting during operation)
• Operational consequences: High (prevents normal dumping operation)

RCM Task Selection:

• Primary Task: Condition monitoring through pressure testing and visual inspection
• Secondary Task: Scheduled seal replacement based on operating hours
• Failure-Finding Task: Regular functional testing of safety systems
• Default Strategy: Redesign consideration if maintenance proves ineffective

Example 3: Electrical System Integration

System: Vehicle electrical and electronic systems Function: Provide power and control for all vehicle operations

Combined FMECA/RCM Analysis: The electrical system requires both approaches due to its complexity and criticality.

FMECA Elements:

• Identify failure modes for each circuit and component
• Assess criticality based on system dependencies
• Prioritize monitoring and protection efforts

RCM Elements:

• Classify failures by their operational impact
• Select appropriate maintenance strategies for different circuit types
• Optimize inspection and testing intervals

Integrated Maintenance Strategy:

• Critical circuits (brakes, steering): Redundancy and frequent testing
• Operational circuits (engine control): Condition monitoring and predictive maintenance
• Convenience circuits (cab comfort): Run-to-failure with spare parts availability

9.0 Implementation Framework.

Phase 1: Preparation and Planning (Months 1-2)

Asset Documentation:

• Complete inventory of all systems and components
• Gather technical documentation and specifications
• Collect historical maintenance and failure data
• Document operating conditions and duty cycles

Team Development:

• Train key personnel in FMECA and RCM methodologies
• Establish analysis teams with appropriate expertise
• Select software tools for analysis and documentation
• Develop templates and standardized procedures

Phase 2: Analysis Development (Months 3-6)

System Analysis:

• Define functions for all major systems
• Identify failure modes using systematic approach
• Conduct FMECA analysis for critical components
• Apply RCM decision logic to optimize strategies

Strategy Development:

• Create integrated maintenance plans
• Establish monitoring and inspection procedures
• Develop performance metrics and KPIs
• Design implementation timelines and resource requirements

Phase 3: Pilot Implementation (Months 7-9)

Controlled Testing:

• Implement strategies on selected vehicles
• Monitor performance and collect feedback
• Refine procedures based on experience
• Document lessons learned and best practices

Performance Validation:

• Compare results against baseline performance
• Measure cost impacts and reliability improvements
• Validate detection capabilities and intervention effectiveness
• Adjust strategies based on actual results

Phase 4: Full Deployment and Optimization (Months 10+)

Program Rollout:

• Implement optimized strategies across entire fleet
• Establish routine review and update processes
• Integrate with existing maintenance management systems
• Develop continuous improvement procedures

Long-term Management:

• Regular analysis updates based on new failure data
• Strategy refinement as operating conditions change
• Technology integration as new capabilities become available
• Benchmarking against industry best practices

10.0 Technology Integration and Modern Tools.

Diagnostic Systems

Modern vehicles provide extensive diagnostic capabilities that enhance both FMECA and RCM implementation:

Engine Control Systems:

• Real-time parameter monitoring
• Fault code generation and logging
• Performance trending and analysis
• Predictive failure algorithms

Telematics Platforms:

• Remote monitoring and alerting
• Historical data collection and analysis
• Integration with maintenance management systems
• Fleet-wide performance comparison

Condition Monitoring Technologies

Fluid Analysis Programs:

• Oil analysis for engine and transmission health
• Coolant analysis for corrosion and contamination
• Hydraulic fluid analysis for system condition
• Fuel analysis for quality and contamination

Vibration and Acoustic Monitoring:

• Bearing condition assessment
• Gear tooth wear detection
• Pump and compressor health monitoring
• Early warning of developing problems

Thermal Imaging:

• Electrical connection monitoring
• Heat exchanger performance assessment
• Brake system condition evaluation
• Hydraulic system leak detection

11.0 Data Management and Analysis.

Computerized Maintenance Management Systems (CMMS):

• Work order management and scheduling
• Parts inventory and procurement
• Cost tracking and analysis
• Performance reporting and KPIs

Predictive Analytics:

• Machine learning algorithms for failure prediction
• Pattern recognition in historical data
• Optimization of maintenance intervals
• Resource planning and allocation

12.0 Measuring Success and Continuous Improvement.

Key Performance Indicators

Reliability Metrics:

• Mean Time Between Failures (MTBF)
• Vehicle availability percentage
• Unplanned downtime frequency
• Mission success rate

Cost Metrics:

• Maintenance cost per mile or hour
• Emergency repair frequency and cost
• Parts inventory turnover
• Labor efficiency measures

Safety and Compliance Metrics:

• Safety incident rates
• Regulatory compliance scores
• Environmental performance indicators
• Audit findings and corrections

Continuous Improvement Process

Regular Analysis Updates:

• Review failure data and update FMECA rankings
• Reassess RCM decisions based on experience
• Incorporate new failure modes or mechanisms
• Adjust strategies based on changing conditions

Performance Benchmarking:

• Compare results against industry standards
• Identify best practices from high-performing assets
• Evaluate new technologies and methodologies
• Share learnings across the organization

Strategy Evolution:

• Refine maintenance intervals based on actual performance
• Upgrade monitoring technologies as they become available
• Adapt strategies to changing operational requirements
• Integrate lessons learned from failure investigations

13. Other Truck Asset Management Plan Considerations.

Effective asset management can often be aligned with your broader business objectives via your CMMS:

Maintenance Budget:

• Capital replacement of the truck based on lifecycle analysis
• Truck Maintenance budget optimization using risk-based priorities
• Total cost of ownership (TCO) calculations for your truck including downtime costs.

Operational Excellence:

• Integration with production planning (mining plans etc) and scheduling
• Coordination with operator training and procedures
• Alignment with quality management systems
• Support for customer service commitments

14.0 Risk Management Framework.

Asset management is fundamentally about managing business risks:

Risk Assessment:

• Quantify financial impact of different failure scenarios
• Assess probability and consequences of critical failures
• Evaluate adequacy of current risk mitigation strategies
• Identify opportunities for risk transfer or sharing

Contingency Planning:

• Develop response plans for critical failure scenarios
• Maintain appropriate spare parts inventories
• Establish relationships with emergency service providers
• Create backup operational procedures

15.Conclusion.

Developing effective truck asset management plans requires a well thought out, systematic approach that would complement the manufacturer recommendations.

The framework presented in this guide demonstrates how FMECA and RCM methodologies could potentially be applied to create optimized maintenance strategies tailored to your specific equipment, operating conditions, and business requirements.

The key principles to remember are:

Understanding Over Assumption: Base maintenance decisions on systematic analysis of failure modes, mechanisms, and consequences rather than assumptions or generic recommendations.

Risk-Based Prioritization: Focus resources on the maintenance activities that provide the greatest risk reduction and business value.

Condition-Based Optimization: Use monitoring and diagnostic technologies to optimize maintenance timing and effectiveness.

Continuous Improvement: Regularly update strategies based on experience, new data, and changing conditions.

Business Integration: Align maintenance strategies with broader business objectives and risk management frameworks.

Whether you’re managing a single truck or a large fleet, It’s possible that these principles will help you develop maintenance strategies that maximize reliability, optimize costs and support your business objectives.

The investment in your time with systematic analysis and thorough planning you make in this space will hopefully pay dividends through improved performance, reduced unexpected failures and better resource utilization.

Remember that asset management is an ongoing journey of continuous improvement. Most will start with the most critical systems and then apply these types of methodologies systematically and build a program that evolves with your understanding, the core business of the equipment and shared experiences.

If the approach outlined in this framework provides one thing for you, I hope it’s gives you some inspiration to develop the foundations for building a comprehensive maintenance program that will serve your trucks well for years to come.