ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

Application of Multi-Criteria Optimisation in ONRC Planning and Programming

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

The One Network Road Classification (ONRC)

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

New Challenges and Opportunities

• The ONRC’s customer levels of service and performance measures are a new way of working, and in the early stages this can seem challenging.

• It will also bring new opportunities for smarter network management planning and programming

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

How We Address the Challenges?

• Multi-Criteria Project Scoring, Ranking and Prioritization Process

• Advanced Optimisation and Trade-off Analysis

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

Multi-Criteria Analysis

• A valuable tool to support complex decision makings

• Most applicable to solve problems that are characterized as a choice among alternatives.

• It helps us focus on what is important, is logical and consistent, and is easy to use.

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

Optimisation• It’s about:

“Not just prioritizing but identifying best mix of projects to deliver the optimal outcomes”

“Optimal spend” and “avoidance of over OR underspend”

”Ability to understand and present different scenarios as required”

“Having a transparent defendable position”

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

Overview of Our Framework and Tool

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

Analysis Inputs• Number of Years for Planning• Project pool

• Business Area, Category and sub-category• Costs (can be staged in multi years)• Impacts (e.g. KPI contributions)

• Multi-Criteria Analysis• Business KPIs and their relative importance• Rules for project scoring and ranking

• Cross Asset Optimisation And Trade-off Analysis• Objective Function• Constraints (budgets and/or performances)

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

Outcomes from Analysis• Project (overall or by business unit)

ranking list (most to least valuable) • Optimal project mix to deliver on agreed

KPI’s• Optimised multi-year forward work

programme• Optimal fund allocations among business

unit and asset category• Programme cost (total, and per annum),

by business unit• KPI delivery tracking/forecasting

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

Example: Evaluate and rank projects across investment areas with rationale and consistence

Ranking of Project by Overall Scores

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

Example: FWP Development for Satisfying ONRC LoS Targets

Optimisation Setup

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

Example: FWP Development for Satisfying ONRC LoS TargetsComparison with dTIMS Optimisation

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

Example: Testing Different Optimisation Strategies

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM

SummaryMulti-Criteria Cross Asset Optimisation and Trade-off Analysis

Framework and Tool: • Consistent and objective project scoring, ranking and prioritisation

process• Flexible optimisation configurations

• Ability to set up and run different objective function • Ability to accommodate various number and type of constraints, including

budget constraints and performance constraints in one year or multiple years.

• Suitable for all level of analysis, from strategic budget analysis to operational project analysis

• Capable to run cross-sector, cross-asset, or cross-class fund allocation analysis

ROAD

INFRASTRU

CTURE M

ANAG

EMEN

T FO

RUM