Model Based Systems Engineering – Case Study
Improved information management and increased availability of processing power has brought up new opportunities for methodologies on how to perform system development and design. The aim has been, and still are, to increase the capability to perform early verification and validation, even though the system is not yet realized. This is done, for example, by integrating design documentation, models and different types of simulations. Ultimately the goal is to increase the assurance that selected design is according to user requirements and available budget and time and furthermore cutting lead times and improve quality.
New ways of working with development and design requires a new technical leadership. As a result of this need a common and standardized language for systems engineering has been developed. The standard defines a Model-Based approach to Systems Engineering, MBSE. This approach facilitates the transformation from a document driven paradigm to a model-based paradigm, more aligned with the model-based engineering methodology. The standard is called the Systems Modelling Language, SysML. The standard is developed by the Organization Object Management Group, OMG. However, SysML defines no processes or methods nor how a model-based approach should be introduced in an organization. Further studies and research are required to facilitate the transformation and introduction of MBSE methods on a wide scale.
This research addresses management aspects when implementing model-based methods in an organization or project, elaborated with the SysML standard as a baseline. The area of interest is systems engineering management and the main stakeholders are engineering managers and chief engineers, or other actors and stakeholders involved in the management and development of technical systems as well as life-cycle analyses. This research addresses the evolution of model-based systems engineering management and current best practice used in the industry, academia and authorities.
This case study may be seen as a broad survey of where MBSE stands today, the challenges we face and to define areas that should be investigated further in order to most efficiently use MBSE in the future.
Contacts: Tomas Huldt (KTH), Ivan Stenius (KTH) and Pelle Malmborg (Saab/Kockums)