The Value Stream domain represents end-to-end activities that create value for customers or internal stakeholders. It provides a dynamic, interconnected view of how value flows through the organization, with links to capabilities, information, and stakeholder expectations.
The domain integrates performance metrics at each stage, creating a continuous feedback loop for measurement and optimization. It incorporates stakeholder-centric modeling by embedding roles and expectations within each phase, ensuring activities align with needs and desired outcomes.
Value Stream Stages are the sequential steps or phases within a value stream, each contributing to the transformation of inputs into valuable outcomes for customers, stakeholders, or the Organization. They represent distinct, interdependent activities that collectively deliver value as part of the overarching value stream. Each stage is characterised by specific inputs, outputs, processes, and performance indicators that define its contribution to the value stream's objectives. While Value Streams encapsulate the end-to-end flow of activities required to deliver a complete product, service, or outcome, Value Stream Stages focus on the granular components or steps within that flow.
Attribute | Description | Example |
| The name or title of the Value Stream | Track Inspection and Maintenance |
| A detailed explanation of what the Value Stream entails | End-to-end process for track inspection and maintenance activities |
| The intended purpose or function of the Value Stream within the Organization | Ensure track safety through efficient inspection and maintenance |
| The individual or team responsible for the Value Stream | Track Maintenance Program Director |
| The Organization unit(s) to which the Value Stream is linked | Track and Rail Infrastructure Division |
| Metrics used to measure the effectiveness and efficiency of the Value Stream | Track quality index: 96.8%, Maintenance completion rate: 94.5% |
| Other capabilities processes or systems that the Value Stream depends on | Track measurement systems, maintenance crews, equipment availability |
| Value streams that are related or linked to this Value Stream | Signal system maintenance, bridge inspection process |
| The current maturity level of the Value Stream | Level 4 - Quantitatively Managed |
| Tools and technologies used to support or enable the Value Stream | Track geometry cars, ultrasonic testing equipment, maintenance management software |
| Regulatory requirements and standards the Value Stream must adhere to | 49 CFR Parts 213, 214, and 237 |
| The financial cost associated with implementing and maintaining the Value Stream | Annual budget: $178M for inspection and maintenance activities |
| Potential risks associated with the Value Stream and its operations | Weather delays, equipment failures, workforce availability |
| Areas where the Value Stream can be enhanced or improved | Implement predictive analytics, automate reporting processes |
| How the Value Stream aligns with the Organizations strategic goals and objectives | Directly supports safety and infrastructure reliability goals |
Sub-Element | Description | Example |
| Name/title of the Value Stream stage | Track Geometry Inspection Phase |
| The Value Stream it belongs to | Track Inspection and Maintenance Process |
| What the stage entails | Automated measurement of track geometry parameters using track geometry vehicles |
| Specific outputs or benefits generated in the stage | Inspection reports, maintenance plans, safety certifications |
| Intended function within the Value Stream | Identify track geometry defects requiring maintenance |
| Responsible individual/team | Track Geometry Program Manager |
| Associated Organization unit(s) | Track Inspection Division |
| Required resources/information | Track class data, previous inspection results, maintenance history |
| Deliverables/results produced | Track geometry exception reports, maintenance recommendations |
| Metrics for effectiveness/efficiency | Inspection coverage: 98.2%, Defect identification accuracy: 96.5% |
| Other stages/systems it depends on | Track geometry vehicle availability, weather conditions |
| Connected stages | Rail wear measurement, maintenance planning |
| Potential risks | Equipment malfunction, data transmission failures |
| Areas for enhancement | Real-time data analysis, automated work order generation |
| Alignment with Organization goals | Supports track safety and maintenance efficiency objectives |
| Capability that enables this stage | Automated Track Geometry Measurement System |
See: https://github.com/Orthogramic/Orthogramic_Metamodel