PLM Implementation Services
Mastering the Digital Engineering Thread
PLM is massive, complex, and ever expansive. Each new extension of the PLM Landscape will often obsolete some portion of your existing process definition and application configuration, continually increasing your long-term cost of ownership. Reducing long-term cost of ownership while increasing measurable ROI requires:
- A more advanced set of implementation methods and tools.
- A broader analysis and understanding of the longer-term asset extensions into, MBD, MBSE, SPDM, IoT, AI, etc.
- Senior Level Architects and PLM Process Consultants – yes, they cost more but they deliver a lot more! Why are you paying people to learn on your nickel?
- Mathematical assessments of your existing PLM Process Performances and their impact on the downstream Supply Chain to enable the creation of a PLM Scope that drives real measurable ROI
- Digital Engineering Master Data Model that will extension and necessary reconfigurations to ensure a more seamless extension of the PLM Asset into to MBD, MBSE, MBE, SPDM, IoT, and AI. This will reduce long-term cost of ownership and a mass of Manual Data Transformation through each major extension of the PLM asset
- Specification of Lean/Pull process definitions optimized through the application of Topological Best Practices to increase the attainable ROI for your PLM asset
Integrated Program Planning
First; The most successful large and mis-scale MBD, MBSE, and PLM Programs are commissioned from a Data Driven Digital Engineering Strategy.
Next; The most effective and efficient execution of these Strategic Initiatives is made from a multi-faceted and integrated set of plans.
- Technical Plan – Program execution strategy, tools, and methods
- Resource Plan – Execution Schedule, Facilities, Equipment, Personnel, RACI, Program Governance Structure
- Validation Plan – Quality criteria for all execution work products (what constitutes done), quality criteria for the process and application environment, verification methods and tools
- Risk Assessment & Mitigation Planning – Taxonomy-based Risk Assessment and proactive mitigation planning
- OCM/Communications Plan – Stakeholder identification, needs/win results assessments, communication requirements & cadence, user acceptance and training plans
Are you ready to execute in a more highly integrated, effective and efficient way? Contact Us
Program Management (SCRUM)
First; The most successful large and mis-scale MBD, MBSE, and PLM Programs are commissioned from a Data Driven Digital Engineering Strategy..
Are you ready to execute in a more highly integrated, effective and efficient way? Contact Us
Scrum thrives on discipline, transparency, and collaboration. Here’s a curated list of best practices that can elevate any Scrum team’s performance:
Foundational Practices
- Define Clear Roles: Ensure everyone understands the responsibilities of the Product Owner, Scrum Master, and Development Team.
- Time-Box Everything: Stick to fixed durations for Sprints (usually, but not aways 2–6 weeks), Daily Standups (15 mins), and other ceremonies.
- Maintain a Healthy Product Backlog: Collaborate with stakeholders to keep the backlog prioritized and refined
Sprint Planning & Execution
- Set Realistic Sprint Goals: Align goals with team capacity and business value.
- Break Down Tasks: Divide user stories into manageable tasks to improve clarity and tracking.
- Use a Scrum Board: Visualize progress with tools like Kanban boards or digital equivalents
Communication & Collaboration
- Daily Standups: Keep them short, focused, and consistent. Discuss progress, plans, and blockers.
- Encourage Cross-Functionality: Empower team members to take ownership beyond their core skills.
- Foster Psychological Safety: Create an environment where team members feel safe to speak up and experiment.
Review & Retrospective
- Sprint Reviews: Demo completed work and gather feedback from stakeholders.
- Retrospectives: Reflect on what went well, what didn’t, and how to improve. Make it actionable
SAFE PLUS Execution
The Scaled Agile Framework (SAFe) is an excellent Scalable HIGH LEVEL Methodology that has and will continue to substantially improve project performances. DSA Staffs have taken course materials and are deeply familiar with the end-to-end SAFe Methodology However, the SAFe Methodology is not built to enable a Threaded Execution of Work at the Work Product Level – down in the conference room where the analysis and design work gets done. This is particularly true when viewing SAFe through the lenses of Process Analysis & Design, Systems Analysis & Design and the integration of work products across these two critical work streams. DSA has adapted our AGILE Execution Methodology to substantially extend the sophistication of the SAFe Methodology down in the conference room where the real work gets done. Our extensions of Process Analysis & Design and Systems Analysis & Design Methods, Tools, Rules and Templates will better enable collaboration, measurably reduce the time and cost to value while increasing the quality of delivered process and application capability. For more information Contact Us
