1. Modelling and Simulation Readiness Assessment for Manufacturing

Over the last two years, the Manufacturing Technology Centre (MTC) developed a readiness scale for modelling and simulation, focused on manufacturing applications and supported by an assessment tool, both of which are known today as SimReady. SimReady is partly a response to the MTC’s requirements to communicate maturity of data, methods and outcomes to industry, while also being a tool to transmit results from its predecessor SimBest. SimBest was an Innovate UK project run by KTN, NAFEMS and ALSTOM on the state of the art and future needs in industry best practices in engineering simulation. SimReady’s aspirations are to be able to assess the readiness level of modelling and simulation service and software capabilities to support their faster maturation and adoption within the manufacturing industry culture. The readiness level of modelling and simulation is analogous to the technology readiness level that has been used in industry for years to assess the readiness level of a specific technology. The SimReady tool can be applied to a number of modelling and simulation capabilities used today to support design and decision making processes in manufacturing. The information within the assessment can then be referred to in order to establish the current usefulness of simulation methods to reduce the risk associated with manufacturing operations.

How to get involved:

The tool is currently being made available to external users upon request for trial and validation purposes. Please submit your request to:


The SimReady tool was developed by the MTC to assess the readiness level of simulation capabilities by considering and assessing the maturity of the computer based engineering approach, the model software code and the simulation outcomes under seven relevant categories or maturity factors, first published in the NAFEMS magazine (Peavoy & Matamoros, 2017). SimReady’s readiness scale, the Manufacturing Simulation Readiness Level (MSRL) scale, was created to categorise maturity into distinct groups defined by their use capabilities in the manufacturing processes. The seven maturity factors evolve on a 0-5 scale and are represented in Figure 1 alongside an illustrative level of effort implied in various activities during the maturation process of a specific capability.

Figure 1: Evolution chart of maturation efforts and the seven key maturity aspects of SimReady's MSRL.

The MSRL scale ranges from level 0 (No Capability Exists) to level 5 (Operational). The levels of MSRL are shown in Figure 2, and are defined as follows:

MSRL 0 – No Capability Exists: No simulation capability exists in the domain. Prompts identification of research and development (R&D) needs.

MSRL 1 – Theoretical R&D: Conceptual approach; suitable for academic research and concept verification.

MSRL 2 – Applied R&D: Feasibility demonstration on a one off basis on very specific problems, and not as a common practice in industry. Normally addressed by academia and Research and Technology Organisations (RTOs). Predictive capabilities are suitable for understanding important aspects of the key domain and conceptual feasibility of the engineering design or problem solution.

MSRL 3 – Instrumental: Supports low risk development, with high reliance on modelling and simulation experts; normally either outsourced to RTOs or pursued by industrial R&D departments – normally original equipment manufacturers (OEMs) only. Predictive capabilities are suitable for qualitative assessment, alternative design/solution ranking, defining the design structure, constraining the design space and replacing some experimental trials.

MSRL 4 – Functional: Modelling and simulation forms functional part of the technology development process for low-mid risk development. Both the model and the simulation codes and platform are highly robust and reliable; usability is sufficient for non-experts. Predictive capabilities are suitable for optimisation and a reduction in experimental trials. Modelling and simulation is part of design best practices, normally performed by internal R&D departments at OEMs.

MSRL 5 – Operational: The modelling and simulation methods and codes are well recognised as best practice in industry and are part of operational process control at any stage of the supply chain. Suitable for virtual engineering, digital product development, robust and optimal product and process design, virtual prototyping, certification and mid-high risk decisions supported by digital prototypes.

Figure 2: SimReady's MSRL Scale.


The SimReady tool has been applied to assess the MSRL of the Laser-ALM process. The modelling and simulation of the process have been considered in detail to answer the set of questions under each one of the seven maturity factors within the tool. The outcome of the assessment is presented in Figure 3.

Figure 3: MSRL of the reported Laser-ALM process.

It can be seen from Figure 3 that the overall MSRL score of the Laser-ALM process is 3; this has been rounded off from a more accurate score of 2.85, making it lie somewhere between “Applied R&D” and “Instrumental” as depicted in Figure 2. The score of each of the seven maturity factors can also be seen in Figure 3, ranging from a minimum of 2.57 for model usability and suitability, and a maximum of 3.71 for input data.


The assessment MSRL scores and underlying information of the Laser-ALM process presented in the previous subsection can be examined in order to make important decisions of the usefulness of adopting simulation to model the mechanical behaviour of the process. For example the tool can be used to highlight areas of the process where simulation capabilities can replace physical processes such as prototypes or material wastage and save design time by providing more efficient analysis methods. The assessment outcome can be considered carefully to establish the extent to which modelling and simulation can be effectively applied to reduce costs and improve structural integrity. The assessment can also be used to assist in establishing how to take the maturity of the Laser-ALM process simulation to the next level on the MSRL scale by considering the score of each of the seven maturity factors individually. The information may then help with discussions with decision makers, improving the chance of adopting modelling and simulation within the manufacturing industrial culture and allowing decisions to be based on quantitative and well-informed arguments.

How to get involved:

The tool is currently being made available to external users upon request for trial and validation purposes. Please submit your request to:

It is my pleasure to contribute my skills and knowledge to a world class research centre.

I feel proud when our ideas and solutions help to solve current and future manufacturing challenges. Certainly, it’s not business as usual.
Ashwin Gomes
Research Engineer - Intelligent Automation