MASSIV+Node-based allocation model
Learn the model from one node to full emissions flow
MASSIV+ creates an operational emissions backbone: each node measures its own Scope 1 and 2, receives upstream emissions as Scope 3, and allocates a total emissions mass forward through real delivery relations.
Guided learning path
The UI should teach the model in the same order that users can understand it.
Step 1
Start with one node
Show Own Scope 1, Own Scope 2, upstream actual, and upstream unknown.
Implemented in guided mode
T = S1 + S2 + A + U
Step 2
Allocate proportionally
Split a node total across customers using a documented allocation key.
Implemented with editable customer quantities
Allocated flow = node total x customer share
Step 3
Build a network
Let receiving nodes accumulate incoming flows with their own footprint.
Implemented with highlighted receiving node
Node total = own footprint + incoming actual + incoming unknown
Step 4
Show internal trade
Use the same supplier-customer logic across sites inside one company.
Implemented with internal vs external edges
Internal trade uses the same allocation logic as external trade
Step 5
Improve data quality
Replace unknown with actual without changing the propagation model.
Implemented with replacement step and action
Replacement improves data quality, not the allocation model
Why this matters
The guided UI should not just calculate. It should make the model legible.
Users first understand what a node is.
Then they understand proportional allocation.
Then they see how Scope 3 builds through the network.
Then they see that internal trade is not a separate math model.
Finally they see how actual replaces unknown over time.
Relationship to reporting standards
MASSIV+ should be framed as an operational backbone that supports, rather than replaces, existing standards.
GHG Protocol: use primary data where possible and keep estimates separate
ISO 14064: transparency, reproducibility, and documented assumptions
ISO 14044: compatible allocation logic, but not full product LCA
ESRS: supports data quality, uncertainty disclosure, and improvement over time
MASSIV+ vs PCF
MASSIV+ does not replace PCF. It gives companies a practical upstream emissions backbone before full product-level mapping is mature.
MASSIV+
Site and node based propagation
Practical before full SKU traceability exists
Explicit separation of actual and unknown
Designed for stepwise improvement
PCF
Product-specific attribution
Higher data and mapping requirements
More granular but harder to operationalize
Complementary rather than competing