Digital Engineering Services – SCM7971

Specific Capabilities

1 – Digital Engineering Advisory

1.1. Maturity Assessment

• Comprehensive business analysis and benchmarking of Digital Engineering (DE) capability

• Identifying and defining DE industry best practice

• Developing an incremental improvement program for DE capability

1.2. Strategy Development and Planning

• Setting the long-term DE vision for a multidivisional organisation, function, department (MOFD)

• Defining appropriate DE policy and governance within a MOFD

• DE strategy review, evaluation, development and advice for a MOFD

• Implementation of DE strategy within a MOFD

1.3. Organisational Transformation
• Tailoring and integration of DE standards within a MOFD

• Organisation and team structure review with respect to DE and digital transformation

1.4. Business Case Development
• Business case preparation to support DE strategy and implementation

• Benefits realisation analysis and oversight of DE

1.5. Change Management
• Development and implementation of digital transformation programs within a multidivisional organisation, function, department

• Communication and stakeholder engagement planning and implementation for DE change.

• Establishment of continual improvement practices with respect to change and DE implementation

1.6. Project Management
• Detailed project planning of DE implementation within a multidivisional organisation, function, department

• Facilitation of non-traditional project management practices e.g. Agile, Design Thinking, Value Management, Human Based Design etc

• Detailed experience developing, reviewing and approving DE documentation for publication

1.7. Procurement
• DE procurement planning to suit project delivery strategy, including contract model and engineering assurance

• Advice on legal aspects of DE procurement e.g. intellectual property, insurance, risk management etc

1.8. Digital Engineering Management
• Development, review and publication of documentation to support DE implementation (e.g. policies, standards, guidelines etc) within a MOFD

• Oversight and management of DE suppliers to support project delivery and asset management outcomes

• Provision of client-side DE project management to support project delivery and asset management outcomes

2 – Business Processes

Details provided

2.1. Business Process Mapping/Re-engineering
• Mapping information management processes and workflows

• Business process review, gap analysis, evaluation and optimisation strategies

• Integration of DE workflows into existing business processes

2.2. Integration with Asset management
• Mapping information workflows across asset lifecycle

• Development of processes to optimise project and asset data transfer across lifecycle stages (e.g. asset handover)

• Implementation of DE standards to enable consistent data/information management across asset lifecycle

2.3. Automation
• Digitalisation of workflows to enable end-to-end digital processes within a multidivisional organisation, function, department

• Digitalisation of standards to enable automated processes e.g. e.g. parametric rules-based design, data cleansing/assurance etc

• Automation of cross-platform data transfer and exchange to support DE business processes

3 – Technology

Details provided

3.1. Software Requirements and Integration
• Development of functional and non-functional requirements for DE related software platforms

• Implementation of DE software solutions to support a DE Common/Connected Data Environment (CDE) for project delivery and/or Enterprise Asset Management (EAM)

3.2. Modelling Platforms
• Specialist advice of software platforms to enable DE model production, review, analysis and exchange

• Implementation and maintenance of DE modelling platforms to support a MOFD

• Implementation of software platforms to support advanced modelling techniques (e.g. parametric, rules-based design etc)

3.3. Geospatial Platforms
• Specialist advice of geospatial software platforms to enable Geographic Information System (GIS) production, review and exchange, to support a MOFD

• Implementation and management of integrated geospatial platforms to support whole-of-life asset management solutions

4 – Data Management

4.1. Business Architecture
• Mapping and specialist advice of business architecture to integrate DE within a MOFD

• Implementation of DE business architecture to enable whole-of-life DE solutions

• Implementation of master data management within a multidivisional organisation, function, department

4.2. Data Schemas and Standards
• Development of object-based data schemas and associated metadata to enable whole-of-life integrated DE solutions

• Implementation of DE object-based data standards within a MOFD

• Documenting data standards

4.3. Data Migration
• Collation, conversion and migration of project and asset data and related information between databases and software platforms

• Manipulation of asset data formats between proprietary and open data formats to support DE processes

4.4. BIM Object Library
• Development of a standardised BIM object library to enable whole-of-life integrated DE solutions

• Implementation of a standardised BIM object library to support a multidivisional organisation, function, department

4.5. Large File Management
• Technical advice on services to support large file access and management of DE related data (e.g. high-resolution video, point cloud laser scans, precinct models etc)

• Technical advice on services to support large file data access and collaboration to support a multidivisional organisation, function, department

4.6. Data Assurance/Validation
• Development of DE assurance processes to meet key asset lifecycle milestones

• Assurance of asset information and associated DE deliverables to support project delivery and asset management outcomes

5 – Modelling

5.1. Model production

• Post-production of raw data obtained from laser scanning or photogrammetry

• Feature extraction and/or object recognition from laser scan point clouds

• Digitisation and conversion of raster to vector-based models

• Processing of point clouds and/or 3D surface models to develop 3D object-based models

• Conversion of CAD elements, traditional survey and/or legacy drawing information to 3D object-based models

5.2. Geospatial production

• Production of 2D/3D GIS capturing engineering, urban design, precinct planning and related data

• Implementation of GIS solutions to support enterprise project/asset data management

• Production of photo-realistic “reality mesh” models to support project delivery and asset management outcomes

5.3. Connected data

• Production of 4D building information model (BIM) with associated scheduling information

• Production of 5D BIM with associated cost information

• Production of data-rich as-built BIM to support asset handover

6 – Visualisation

6.1. Model Rendering and Animation

• Production of high-quality model rendering to support project/asset visualisation and stakeholder engagement

• Production of high-quality rendered animations to support project/asset visualisation and stakeholder engagement

6.2. Augmented Reality

• Provision of augmented reality solutions to support project delivery and asset management outcomes

• Provision of augmented reality solutions for stakeholder engagement

6.3. Virtual Reality

• Provision of virtual reality solutions to support project delivery and asset management outcomes

• Provision of augmented reality solutions for stakeholder engagement

7 – Education and Training

7.1. Education

• Development of education courses to build DE knowledge and awareness, based on global best practice

• Implementation of DE education within a MOFD

7.2. Training

• Development of specialist DE training courses for client-side

• Development of specialist DE training courses for industry/Contractor’s

• Presentation of DE training courses and engagement within a MOFD

8 – Additional Digital Services

8.1. Additional digital services not listed

• Service provider to provide details on additional digital services not listed above e.g. 3D printing, API development, Internet of Things (IoT), Big Data, Predictive Analysis, Machine Learning, Blockchain, Smart Cities/Infrastructure etc