Our primary objective was to improve the client’s truck operating hours, resulting in increased productivity and profitability. To achieve this, we set out to:

1. Analyse the current state of the haulage fleet, identifying operational issues and inefficiencies.
2. Develop a comprehensive plan to increase truck operating hours by addressing the identified issues and inefficiencies.
3. Implement the plan in a phased approach, monitoring progress and making adjustments as needed.

We began by analysing the data collected from the client’s fleet management system, which included truck utilisation rates, downtime, and maintenance records. We also conducted site visits and interviews with key stakeholders to better understand the operational challenges.

Our analysis revealed several key issues impacting truck productivity, including:

• Inefficient maintenance practices
• Inadequate training and development for operators
• Lost time over shift change and breaks
• Inadequate communication between operators and maintenance personnel
• Lack of real-time data for monitoring and decision-making

To address these issues, we developed a comprehensive plan that included the following steps:

1. Maintenance Improvement Plan: We worked with the client’s maintenance team to develop a comprehensive maintenance improvement plan that focused on preventive maintenance, better spare parts management, and improved maintenance scheduling. This resulted in improved fleet availability and reduced downtime due to breakdowns.
2. Operator Training and Development: We developed recommendations to improve operator behaviour, focusing on safe and efficient truck operation. We also provided coaching and guidance on the use of the client’s fleet management system, ensuring that operators could quickly identify and report issues in real-time.
3. Shift Scheduling Optimisation: We analysed the client’s shift scheduling practices and recommended improvements to reduce lost time over shift change, meal breaks and scheduled delays such as refuelling. 
4. Real-time Data Monitoring: We addressed equipment and process shortfalls to improve data integrity to provide our client’s management team with improved and timely information to support quicker operational decision-making and downtime event root cause analysis to make data-driven decisions to improve productivity.