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Case Study

Prioritising Capital Projects Using Advanced Analytics in Florida

GHD Digital transformed Fort Myers’ water utility planning with a cloud-based platform for optimised asset management and data-driven decision-making.

 

AUTHOR

Related Topics

Master Planning

Condition Assessment

AI/Machine Learning

GHD Digital helped the City of Fort Myers digitally transform their capital planning for network systems so they could accurately triage the condition of pipes and develop their rehabilitation or replacement strategies. Using advanced analytics and machine learning algorithms, a cloud-based decision-making platform was developed by integrating the available tools, processes and information to make data-driven decisions quickly without ambiguity.

THE CHALLENGE

The City of Fort Myers needed to provide a clear direction for short, medium and long-term capital improvement programs and management strategies that would help them better understand their asset data. Traditionally, asset data was stored in Excel files and was not comprehensive, leading to errors and missing information.  

These challenges made capital improvement program (CIP) investment decisions more complex as it depended on asset knowledge. The CIP based business plan helps answer the questions of “What are we going to do and why?”; “At what cost and how can we fund it?”; and “What is the impact on the level of service (LoS), rates and financial conditions?” 

Without the ability to answer these questions adequately the City of Fort Myers would not realise the value necessary to address the most pressing needs to meet the conditions of the consent order. 

THE SOLUTION

The above requirements necessitated the development of a robust system equipped with comprehensive functionalities to enable utilities to make informed decisions in near real-time. This led to the creation of a cloud-based decision support system known as Dynamic Risk and Engineering Analytics Management System (DREAMS).

The DREAMS provided the City of Fort Myers with the visualisation and implementation of a dynamic capital planning module that comprised of risk model, hydraulic, financial planning and project prioritisation frameworks that gave them easy access and enabled them to make data-driven decisions more quickly. This web-based system integrates spatial component data with easy-to-understand visuals to compare different scenarios. 

In phase one, GHD provided near real-time updates of projects that would be included in the CIP and management strategies to plan for the next 20 years. In phase two, GHD developed the planning module for the sewer systems and completed the risk modelling dashboard for the potable water system.

RESULTS

The DREAMS offered the City of Fort Myers with a data centric approach to capital improvement and asset optimisation. The overall system and other asset management techniques provided asset optimisation and reduced operating costs and operational risk for the city. Now, the city has harmonised data that was customised and structured, meeting their current and future community needs and challenges. 

When decision-making relies on deeper and more complex insights, a streamlined and automated solution is needed to improve business operations and profitability. DREAMS signifies the development of an adaptable and scalable decision support system.

GHD digital solutions also provided the City of Fort Myers with:

    • Enhancement of risk management through the automatic updates of risk modelling scores, which reflect near real-time changes in project prioritisation.

    • The facilitation of strategic decision-making by allowing the comparison of project priorities across different planning horizons, providing foresight and facilitating long-term planning.

    • Flexibility in financial planning by enabling the movement of projects across different planning years, allowing for adaptive rescheduling based on the available annual budget.

    • Financial accuracy and preparedness through the auto-calibration of the cost matrix, adjusting for project prioritisation and anticipated cost escalation.

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