AFRY MIAM

What are the challenges of today’s infrastructure asset management?

Infrastructure managers worldwide expect an increasing renewal need, and simultaneously more pressure to secure funding and justify the need for investment.

Considering the large scale of asset portfolios and limited budget, infrastructure managers require a strategic plan to prioritise renewal and maintenance activities throughout their network.

To enhance the performance and lower the cost, infrastructure managers need to:

• Monitor the asset condition development and costs
• Plan the when and where of the actions
• Prioritise projects within budget limitations
• Review requirements and plan capabilities
• Use strategic market insights to prepare suppliers
• Prepare for funding negotiations

The solution

Integrated, data-driven asset management saves costs and optimises renewal and maintenance planning strategies.

The AFRY Mobility Infrastructure Asset Manager (MIAM) is a software suite that has been helping infrastructure managers take significant steps towards digitalisation and strategic, data-driven asset management. This is done by managing an entire asset portfolio from a strategic perspective based on available data.

With the insights of AFRY MIAM you determine the why, how, where, and when of optimally managing your infrastructure portfolio and model your portfolio strategies. This allows for a well-rounded perspective on the decision drivers impacting strategic asset management, enabling an advanced funding negotiation strategy.

How it works

The ideal digital asset management system consists of three layers: data, insights, and decisions.

A software that can calculate and visualise condition evaluation trends and forecast renewal funding needs for the future is essential for decision-making. These functions are considered and integrated into the AFRY MIAM system.

The structured approach of MIAM allows for portfolio information to be broken down into key dimensions, such as:

•  Quality aspects that drive asset management decisions (e.g., substance, availability, safety, functionality, compliance)
• Geographic regions
• Networks, lines and key areas of responsibility
• Organisational departments or key areas of technical expertise

MIAM is built modular and comprises several modules, with the key features being:

• Data-based condition evaluation of the network and its assets
• Forecast of budget requirements for renewal and maintenance as well as work
• Network-wide planning of the renewal of assets with focus on upcoming financing periods
• Life-cycle management of assets and life-cycle cost optimisation
• Unit cost management for maintenance and renewal
• Unit cost data capturing
• Data quality anchoring and monitoring

The core modules of MIAM software are:

• Processing – overview of asset types and data processing status
• Data Warehouse – visualisations of asset condition and renewal forecast
• Life Cycle Management – maintenance plans and forecasting
• Unit Cost – database of utilised unit costs assigned to maintenance activities and renewal; Maintain transparency over individual cost components of all renewal and maintenance activities in a central database.
• Renewal Planning – algorithmic and prioritisation-based method of planning which assets are recommended for renewal
• Forecast – Forecast renewal and maintenance needs in terms of both cost and quantity. Create scenarios of different budget constraints across different levels of the asset hierarchy, and apply capacity limitations on renewal quantities to simulate real-life labour and technical capabilities
• Data Quality Management – review all data quality issues found in the asset data and get an overview of all data handling rulesets applied
  

The AFRY Mobility Infrastructure Asset Manager (MIAM) is a software solution designed to power the infrastructure digitalisation process and support financing agreements.

AFRY MIAM supports infrastructure managers in consistent and quantitative decision-making and responds to your core needs, with the key features being:

• Data-based condition evaluation of the network and its assets
• Forecast of budget requirements for renewal and maintenance as well as work
• Network-wide planning of the renewal of assets with focus on upcoming financing periods
• Life-cycle management of assets and life-cycle cost optimisation
• Unit cost management for maintenance and renewal
• Unit cost data capturing
• Data quality anchoring and monitoring
• Provide data-based arguments for funding negotiations

Let’s have a look at the core modules of AFRY MIAM: