PLM Optimization Services
DSA has extensive experience assisting Large Enterprises and SMB’s to optimize their utilization of PDM/PLM and establish a foundation of Core Data Management capability that enables a smoother transition and integration into “Next Generation” PLM including MBSE, MBD, MBM, SPDM, IoT, and AI.
Extension of your Core Data Management capability is critical to enabling your longer-term PLM optimizations and extensions on the “Next Generation” PLM Highway
• Increase the utilization of your Core Data Management capabilities
• Reduce the time and cost to implement and integrate MBSE, MBD, SPDM, IoT, and Artificial Intelligence Engines
• Streamline and digitally thread the end-to-end Data Model for PLM
• Extend the analytical capabilities of Artificial Intelligence Engines
• Produce better performance metrics and analytics to enable continuous improvement
• Enable a massive extension of process automation opportunities and ROI
Core Product Data Management Extensions – increasing asset utilization and ROI
Improved Part Lifecycle Management
- Dramatically reduce part search/reuse and part create administrative overhead
- Establish tighter control of the part lifecycle process to reduce part fidelity Issues that can drive error rates through the downstream supply chain processes
- Increase part/design reuse to reduce time and cost to market and the associated volumes of supply chain transactions associated with part redundancy
- Reduce the annual cost of commodity spend through part and supplier rationalization
- and so on
Improved BoM Lifecycle Management
• Dramatically reduce EBoM administration overhead
• Enable automated EBoM creation through an alignment of the Physical Model in MBSE to the Part/BoM create process
• Extend the automated EBoM creation process through an optimization of CAD BoM functionality
• Enable earlier visibility to BoM Data to better enable supply chain planning • and so on
Improved Change Management
- Establish streamlined, digitally threaded change process from Issue Identification through supply chain implementation
- Increase EC related metrics and analytics to better enable continuous improvement
- Increase lifecycle state-based change controls to ensure Part/BoM fidelity at specific lifecycle states to reduce downstream error rates cascading into the supply chain
- Establish a Lean/Pull change process to reduce change management overhead and cycle time to change
- Establish tighter configuration management rules and processes
- and so on
CAD Data Management
• Align CAD BoM to EBoM process to reduce BoM administration and error rates
• Better enable part create and reuse process through CAD interface to reduce part administration overhead
• Extend and match CAD Skeleton Libraries to Physical Library in SysML Tool
• Extend library of Simulation and Test ready CAD Models and align to Physical Library in SysML Tool
• Align Material Library in CAD to PDM Bill of Material Specifications • and so on
MBSE/PLM Extensions – Increasing asset utilization and ROI
- Getting the biggest bang for your MBSE Buck requires alignment of the MBSE and PLM Data Models. Absent this alignment, a number of process automation opportunities will elude you.
- Exploiting your Part Classification Engine to build your SysML Library
- Aligning the Parametric Attributes in your PLM Classification Engine to Component Characteristics with your SysML Physical Library to enable automated Part Search/Link, and automated Part Create/Classify
- Aligning Physical Models in SysML Tool to enable automate BoM Productions
- Aligning the CAD Skeleton Library to your Physical SysML Library to enable automated creation of a skeleton instance and the digital association of its relative Component Characteristics and Material Properties
- Aligning Material Libraries across SysML, CAD, PLM, and Materials Management
MBD/PLM Extensions - Increasing asset utilization and ROI
Successful implementation of Model-based Design requires the implementation of ASME Standards (Y14.4, Y14.41, Y14.47) and the specification of Model-based Definitions that will vary by Part Type e.g., Mechanical, vs. Electronic and Make vs. Outsource Manufactured vs. COTS.Finally, the MBD and PLM Data Model must be aligned to a number of process automation opportunities that will increase asset utilization and drive measurable ROI
• Align derivative CAD Data formats to downstream Inspection and Machine Coding e.g., adopt QIF
• Enable automated production of Bills of Characteristics through QIF adoption
• Enable automated production of part specific FAI Templates from Bills of Characteristics
• Align DFM Libraries to Producibility Validation Tools
• Integrate Producibility Validation Tools into ECO Workflow to enable automated validation and exception-based notifications
• Align Design and Modeling Standards to CAD Validation Tools
• Integrate CAD Validation Tools into ECO Workflow to enable automated validation and exception-based notifications
• Align PLM Part Object Model to Part Specific Model-based Definitions
• Integrate Technical Data Publishing Tools into ECO Workflow to enable automated TDP Production at Actionable Lifecycle States for:
• Form, Fit, Function Changes
• Component Changes that do not affect Form, Fit, Function
• Actionable Lifecycle State Engineering Releases
Finally, it is useful to remind you of the lingering mass of Manual Data Transformations you will suffer and the mass of Process Automation Opportunities you will discard if you fail to align your end-to-end Digital Engineering Thread.
To Learn more about our PLM Optimization Services, Contact Us