Unlock the Full Potential of Modelling and Simulation in your Organisation

How to Implement a Modelling & Simulation Strategy

The technological advances of recent years have led to a massive increase in product complexity. Businesses need to make sure they can engineer and deliver efficient and optimised products to not only lead but also remain competitive.

Maximising the opportunities and benefits gained from the latest digital engineering capabilities is critical. Adopting local optimum solutions is ineffective, so businesses must invest in a comprehensive and coordinated approach to achieve the global optimum and maximise the effectiveness of their digital engineering capability.

To achieve this, you need a Digital Engineering (Modelling and Simulation) Strategy that takes account of the tools and the processes, methods, models, data, organisation, and computing infrastructure.

This high-level training course focuses on modelling and simulation tools from a C-level perspective, identifying business goals, product requirements and organisation needs before introducing a framework that will become the foundation of your comprehensive Modelling and Simulation strategy.

It also addresses the challenges you'll face when deploying the strategy, and shows you how to tackle them head-on to ensure successful implementation.

Interaction is encouraged throughout the course. Questions and class participation are encouraged, as this is one of the key aspects of making this a unique and positive experience for each attendee.

Why an E-Learning class?

Travel and training budgets are always tight! The e-Learning course has been developed to help you meet your training needs.

If your company has a group of engineers or specific training requirements across any subjects, please contact us to discuss options.

Course Program

Why do modelling and simulation? Why do you need a strategy for it?
Engaging stakeholders - identifying needs
Assessing the current state
Best practices
The strategy framework and toolkit
Strategy framework deep dive

Process, methods and tools
Models and data
People, organization, computing, and infrastructure

Modelling & simulation quality
Leading and managing modelling simulation organisations
Strategy implementation – realising the benefit
Cost benefits and strategy governance

What will you learn?

Establish your business needs and priorities for modelling and simulation
Uncover the critical requirements of a modelling and simulation capability
Assess the current state of modelling and simulation in your business
Recognise the challenges and opportunities for implementing effective and efficient modelling and simulation
Understand the framework for a comprehensive modelling and simulation strategy
Discover the best approach to building a modelling and simulation strategy
Understand each element of the process and how to assess gaps and develop a plan for each element
Tackle the practical challenges in implementing a strategy
Learn how to estimate and minimise costs and maximise the benefits to achieve a strong business case

Who Should Attend?

Business Leaders
Engineering Leaders and Managers
Manufacturing Leaders and Managers
Modelling and Simulation Managers
Engineers and engineering analysts who need to learn how to organise and manage effective and efficient modelling and simulation activities to support their organisation's needs as well as their own career progression

PSE Competencies Addressed by this Training Course

FEAkn1	List the various steps in the analysis/simulation process.
SIMMpr5	Management - Team leadership
SIMMkn1	MG - For your organization, state simulation scope and objectives in the product life cycle
SIMMkn2	MG - State simulation categories of importance in the relevant industry sector.
SIMMco31	MG- Explain method & tool policy applicable in your organization for the relevant project.
SIMMco34	MG- Understand technical and human challenges and difficulties to implement a new simulation capability.
SIMMan9	MG - Analyze possible solution alternatives (new COTS, in-house development...) to implement a new simulation solution in your organization.
SIMMan12	MG - Determine technical and human challenges to implement a new simulation application solution.
SIMMan13	MG - Calculate the investment and ongoing costs of implementing a new simulation application solution.
SIMMsy2	MG - Plan a modelling and analysis approach for the relevant project and problem.
SIMMsy5	MG - Prepare ICT requirements and plan from simulation work load with identification of specific needs( e.g. HPC).
SIMMsy13	MG - Contribute to the specification and planning related to the effective development of simulation capabilities.
SIMMsy14	MG - Prepare policy/directives on applicable simulation processes methodologies and tools to be used for the relevant project.
SIMMsy16	MG - Prepare requirements for the development of simulation capabilities
SIMMsy17	MG - Prepare and manage the deployment and training for a new simulation capability.
SIMMsy18	MG - Construct KPI's( key performance indicators ) for the applicable simulation process.
SIMMsy24	MG - Assess or audit a Simulation services supplier
SIMMev1	MG - Provide effective specialist advice on Simulation Management to colleagues.
SIMMev3	MG - Manage simulation related physical and human resources within an organisation; in an effective manner.
SIMMev4	MG - Assess ICT resource availability for simulation.
SIMMev5	MG - Assess simulation competences required for a project
SIMMev6	MG - Assess simulation competences within your organization
SIMMev9	MG - Evaluate and benchmark external supplier validation approach
SIMMev13	MG - Manage effectively new simulation solution development and implementation projects.
SIMMev14	MG - Assess simulation solution maturity and readiness levels for a new project.
SIMMkn6	V&V - State simulation V&V principles
SIMMkn17	SPDM - State applicable simulation process for the relevant project in your organization.
SIMMco40	SPDM - Understand requirements of simulation data management in your organization
SIMMco43	SPDM - Describe the challenges in managing simulation data.