1、A Path Towards Better Enterprise Modeling in Large OrganizationsGuillermo M.PischanskySystem Engineer Technical Advisor Driving Quality in UAF 1.2 2025 KBR,Inc.Agenda 2025 KBR,Inc.2March 19th,2025 Background&Introduction ChallengesPractical Approach Insights AdvancesEvolution from Document-Based to
2、Model-Based Shift to MBSE for efficiency,traceability,and automation.Quality as a Key Factor Ensuring accuracy,consistency,and completeness in models.Standardization Efforts Use of SysML,UAF,and ISO standards to define best practices.Verification&Validation(V&V)Formal methods,simulation,and testing
3、integrated into MBSE.The evolution of MBSE has improved model quality through standardization and best practices,but challenges remain in metrics,tool interoperability,scalability,adoption,and workforce expertise 2025 KBR,Inc.3Background ChallengesLack of Standardized Quality Metrics No universally
4、accepted framework for measuring model quality.Tool and Methodology Gaps Variability in MBSE tool capabilities and adherence to best practices.Scalability Issues Managing complex,large-scale models across different domains.Interoperability&Integration Ensuring seamless data exchange across tools and
5、 disciplines.Adoption&Culture Shift Resistance to change from traditional engineering practices.Training&Skill Gaps Need for expertise in MBSE principles,languages,and tools.“Good”Quality can lead to:Accurate decision-making Reduce errors and defects Improve system performance Enhance collaboration
6、and communication Increased confidence and trust Compliance Cost savings Beter system understanding and knowledge capture Model Quality is crucial as it directly impacts accuracy reliability and effectiveness of system engineering process.2025 KBR,Inc.4Introduction“Poor”model quality can lead to:Ina