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Driver Time Optimization Dashboard for Midstream Operations

Operational efficiency is paramount in the highly competitive midstream sector of the oil and gas industry. A leading oil and gas company faced significant challenges in optimizing driver routes and reducing waiting times at product terminals. This case study explores how implementing a Driver Time Optimization Dashboard transformed terminal operations, leading to notable improvements in efficiency and revenue.

Challenges

Initially, the company rerouted drivers to procure products from nearby terminals to alleviate congestion and reduce wait times. However, this strategy led to unexpected revenue losses due to the following reasons:

  • Extensive Product Loading Time: The time taken to load products onto trucks was longer than anticipated.
  • Administrative Delays: Waiting for statements to be printed and collected further delayed drivers.
  • Inefficient Terminal Utilization: The terminals’ capacity was not optimally utilized, resulting in prolonged wait times and inefficient operations.

Solutions

The company implemented a Driver Time Optimization Dashboard using Azure and Tableau to address these challenges. The solution involved the following steps:

  1. Data Collection and Analysis:
    • Collected data on terminal traffic, including wait times, load times, and exit times.
    • Segmented the data to understand the time involved in each process stage.
  2. Statistical Summary and Analysis:
    • Summarized and analyzed the statistics around the time involved in each stage.
    • These statistics were compared against the terminal’s capacity to determine utilization rates and identify bottlenecks.
  3. Dashboard Implementation:
    • Developed a comprehensive dashboard to visualize the data and insights.
    • Provided the terminal operations team with real-time visibility into terminal traffic and operational bottlenecks.
  4. Optimization Recommendations:
    • Identified opportunities to reduce wait, load, and exit times.
    • Suggested adjustments to the process and infrastructure to improve efficiency.

Technology Stack

Utilized for data storage, processing, and management.

Used for creating the visualization dashboard, enabling real-time insights and data-driven
 decision-making.

Outcome

The implementation of the Driver Time Optimization Dashboard yielded significant benefits:

  1. Increased Truckloads:
    The terminal operations team was able to make process adjustments that resulted in up to
    2-3 additional truckloads per day.
  2. Improved Efficiency:
    The dashboard provided actionable insights that allowed the team to streamline operations and reduce delays.
  3. Informed Investment Decisions:
    • The data-driven insights enabled the company to make sound investment decisions regarding capital expenditure.
    • Investments included adding rack bays, tanks, and higher-speed pumps to further enhance terminal capacity and efficiency.

Conclusion

The Driver Time Optimization Dashboard was a pivotal tool in transforming the efficiency of terminal operations for the oil and gas company. By leveraging advanced data analytics and visualization tools, the company improved operational efficiency, increased revenue, and made informed investment decisions. This case study highlights the critical role of technology in optimizing midstream operations and driving business success in the oil and gas industry.

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