Skip to main content

Overview

General comment

Production covered

Fine-pitch ball grid array carrying several memory dies stacked vertically, each attached with die-attach film and wire-bonded on its own tier. Functional unit is one package STARTED: the reference flow is a single package entering assembly, and the activities listed run through completed assembly and final test of that package.

Modelling choices

By the count-once yield-ownership convention, the gross-up from packages started to good packages is carried by the consuming IC or component dataset, not here.

Technology
WB-FBGA-Stack, organic substrate
Geography
Global average data from equipment vendor specifications and industry literature

System boundary

System boundary - Wire Bond Fine-pitch BGA with Vertically Stacked Dies packageSystem boundary figure: identity, gate in, entering flows, the dashed system boundary and the unit processes inside it, the reference product, emissions and waste, and below it the flows that are recorded but not quantified. No inventory quantities.Wire Bond Fine-pitch BGA with Vertically Stacked Dies packageGATE INDie preparation and attachmentENTERING FLOWSElectricityWaterProcess gasesProcess chemicalsMaterialsSYSTEM BOUNDARYMODELLED UNIT PROCESSES, BY CLASSOtherBGA substrateSolder ball placementTape and reelTestPackage final test memoryAssemblyDie attachWire bondingTransfer moldingFlux applicationBall attach reflowPackage singulationThermalDie attach curePost mold cureMarkingLaser markingREFERENCE PRODUCTWire Bond Fine-pitch BGA withVertically Stacked Dies packagePackage-level testing and singulationEMISSIONS AND WASTEEmissions to airEmissions to waterWaste routesRECORDED BUT NOT QUANTIFIEDExclusions not yet characterisedNo exclusion record was found for this datasetNOT CHARACTERISEDsystem boundaryreference flowentering flowemission / waste

The figure groups this dataset's unit processes by class. It is not a count of manufacturing steps — each process runs over as many passes as the flow requires, and those pass counts ship with the dataset.

Download this figure (SVG)

Data quality and references

Composite DQI 1.7 Very good
Reliability
2.6
Completeness
1.8
Temporal
1.2
Geographic
2.0
Technological
1.2

Pedigree scores follow the ecoinvent data-quality matrix: 1 is the best attainable, 5 the weakest. The composite is their aggregate.

Sampling procedure
Equipment vendor specifications, academic papers, industry literature
Coverage status
Partial
Pedigree-scored source files
13 — the source records behind this dataset's manufacturing operations. Each carries the five pedigree axes above; the composite DQI aggregates them.

Technosphere inputs

25 flows. Quantities are not published; they ship with the dataset on Circa.

CF4 production Process gasg · -49.2% / +69.5%
Derivation basis
  • No retrievable public document identified

No source is attached to this row.

Source citations
Not stated
Upstream REEL dataset
Carbon tetrafluoride (CF4)
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
-49.2% / +69.5% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
SF6 production Process gasg · -49% / +53.1%
Derivation basis
  • No retrievable public document identified

No source is attached to this row.

Source citations
Not stated
Upstream REEL dataset
Sulfur hexafluoride (SF6)
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
-49% / +53.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Water supply (municipal) Waterm3 · -36.6% / +75.2%
Derivation basis
  • Calculated from process-water and ultrapure-water demand across all manufacturing operations, plus facility water allocated to each finished unit. The fresh intake shown is that demand less the share reused under the water-recycling scenario this dataset assumes, and wastewater follows the same balance.

No source is attached to this row.

Source citations
Not stated
Upstream REEL dataset
Water Supply (Municipal)
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Net fresh-water intake, supplied as municipal water
Uncertainty
-36.6% / +75.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
m3
Electricity, Taiwan (TW) ElectricitykWh · -61% / +81.6%
Derivation basis
  • Calculated from equipment energy across all manufacturing operations. It also includes the assembly site's facility overhead: air handling and cleanroom conditioning, chilled water, compressed dry air, exhaust and dust collection, wastewater treatment and uninterruptible power.
  • REEL derivation: engineering estimate of per-package laser-marking energy from the marker system power rating and line throughput; no single published document reports this per-package value
  • REEL derivation: engineering estimate of per-package tape-and-reel energy from the equipment power rating and line throughput; no single published document reports this per-package value

The sources below come from the manufacturing operations behind this row.

Sources (inherited)
Inherited, rolled up from the contributing process steps:
Background data
ecoinvent 3.12
Background dataset
electricity, medium voltage
Uncertainty
-61% / +81.6% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kWh
Compressed air Process gasg · -27.4% / +37%
Derivation basis
  • Estimated from similar handling equipment

The sources below come from the manufacturing operations behind this row.

Source citations (specific to this process)
Inherited, rolled up from the contributing process steps:
Background data
ecoinvent 3.12
Background dataset
compressed air, 700 kPa gauge
Uncertainty
-27.4% / +37% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Ar Process gasg · -60% / +100%
Derivation basis
  • No retrievable public document identified

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
argon, liquid
Uncertainty
-60% / +100% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
O2 Process gasg · -60% / +100%
Derivation basis
  • No retrievable public document identified

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
oxygen, liquid
Uncertainty
-60% / +100% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
H2 Process gasg · -25.7% / +50.2%
Derivation basis
  • No retrievable public document identified

The sources for this row are listed below.

Source citations
Background data
ecoinvent 3.12
Background dataset
hydrogen, gaseous, low pressure
Uncertainty
-25.7% / +50.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
N2 Process gasg · -22.3% / +34.3%
Source citations
Background data
ecoinvent 3.12
Background dataset
nitrogen, liquid
Uncertainty
-22.3% / +34.3% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Copper sulfate pentahydrate (electroless) Process chemicalg · -16.7% / +33.3%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
copper sulfate
Uncertainty
-16.7% / +33.3% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Copper anodes (pattern plating) Process chemicalg · -12.8% / +14.9%
Derivation basis
  • No retrievable public document identified (metric clarification; per-substrate mass derivation retained in notes)

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
copper, cathode
Uncertainty
-12.8% / +14.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Formaldehyde solution Process chemicalg · ±25%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
formaldehyde
Uncertainty
±25% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Palladium chloride Process chemicalg · -45.5% / +36.4%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
proxy-mapped
Background dataset
palladium
Notes
Proxy mapping uses 60% of the material mass.
Uncertainty
-45.5% / +36.4% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Nickel sulfate hexahydrate Process chemicalg · ±20%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
nickel sulfate
Uncertainty
±20% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Sodium hypophosphite Process chemicalg · ±25%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
proxy-mapped
Background dataset
sodium phosphate
Uncertainty
±25% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Gold potassium cyanide Process chemicalg · -15.1% / +13.2%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
proxy-mapped
Background dataset
gold
Notes
Proxy mapping uses 68.4% of the material mass.
Uncertainty
-15.1% / +13.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Potassium permanganate Process chemicalg · -40% / +20%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
potassium permanganate
Uncertainty
-40% / +20% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Dry film photoresist Process chemicalg · ±25%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
proxy-mapped
Background dataset
methyl methacrylate
Uncertainty
±25% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Stencil cleaner (IPA) Process chemicalg · -50% / +100%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
isopropanol
Uncertainty
-50% / +100% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Flux (water soluble) Process chemicalg · -40% / +100%
Derivation basis
  • Flux type for FOWLP solder ball attach

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
flux, for wave soldering
Uncertainty
-40% / +100% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
BT resin (4-layer HDI) Materialkg · ±15%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

The sources for this row are listed below.

Source citations (dataset-level)
  • ASM Pacific Technology. IDEALmold Specifications
  • Disco Corporation. DFL7161 Laser Saw Specifications
  • IEEE ECTC 2018: Leading edge die stacking and wire bonding technologies for advanced 3D memory packages (doi:10.1109/ECTC.2018.00069)
  • Micron Y4BM LPDDR5/LPDDR5X datasheet (315b/441b FBGA, DDP/QDP/8DP)
  • Micron Y42M LPDDR5X datasheet (SDP/DDP/QDP/8DP)
  • Samsung LPDDR5X stacked die packages (K3KL series)
Background data
proxy-mapped
Background dataset
glass fibre reinforced plastic, polyester resin, hand lay-up
Uncertainty
±15% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Die-attach film (DAF) for stacked dies Materialkg · -25% / +50%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

The sources for this row are listed below.

Source citations (dataset-level)
  • ASM Pacific Technology. IDEALmold Specifications
  • Disco Corporation. DFL7161 Laser Saw Specifications
  • IEEE ECTC 2018: Leading edge die stacking and wire bonding technologies for advanced 3D memory packages (doi:10.1109/ECTC.2018.00069)
  • Micron Y4BM LPDDR5/LPDDR5X datasheet (315b/441b FBGA, DDP/QDP/8DP)
  • Micron Y42M LPDDR5X datasheet (SDP/DDP/QDP/8DP)
  • Samsung LPDDR5X stacked die packages (K3KL series)
Background data
ecoinvent 3.12
Background dataset
epoxy resin insulator, SiO2
Uncertainty
-25% / +50% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Cu (20um diameter) - modern standard Materialkg · ±20%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

The sources for this row are listed below.

Source citations (dataset-level)
  • ASM Pacific Technology. IDEALmold Specifications
  • Disco Corporation. DFL7161 Laser Saw Specifications
  • IEEE ECTC 2018: Leading edge die stacking and wire bonding technologies for advanced 3D memory packages (doi:10.1109/ECTC.2018.00069)
  • Micron Y4BM LPDDR5/LPDDR5X datasheet (315b/441b FBGA, DDP/QDP/8DP)
  • Micron Y42M LPDDR5X datasheet (SDP/DDP/QDP/8DP)
  • Samsung LPDDR5X stacked die packages (K3KL series)
Background data
ecoinvent 3.12
Background dataset
copper, cathode
Uncertainty
±20% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Epoxy Mold Compound (low-warpage for tall stacks) Materialkg · ±15%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

The sources for this row are listed below.

Source citations (dataset-level)
  • ASM Pacific Technology. IDEALmold Specifications
  • Disco Corporation. DFL7161 Laser Saw Specifications
  • IEEE ECTC 2018: Leading edge die stacking and wire bonding technologies for advanced 3D memory packages (doi:10.1109/ECTC.2018.00069)
  • Micron Y4BM LPDDR5/LPDDR5X datasheet (315b/441b FBGA, DDP/QDP/8DP)
  • Micron Y42M LPDDR5X datasheet (SDP/DDP/QDP/8DP)
  • Samsung LPDDR5X stacked die packages (K3KL series)
Background data
ecoinvent 3.12
Background dataset
epoxy resin insulator, SiO2
Uncertainty
±15% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
SAC305 Materialkg · ±20%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

The sources for this row are listed below.

Source citations (dataset-level)
  • ASM Pacific Technology. IDEALmold Specifications
  • Disco Corporation. DFL7161 Laser Saw Specifications
  • IEEE ECTC 2018: Leading edge die stacking and wire bonding technologies for advanced 3D memory packages (doi:10.1109/ECTC.2018.00069)
  • Micron Y4BM LPDDR5/LPDDR5X datasheet (315b/441b FBGA, DDP/QDP/8DP)
  • Micron Y42M LPDDR5X datasheet (SDP/DDP/QDP/8DP)
  • Samsung LPDDR5X stacked die packages (K3KL series)
Background data
composite
Background dataset
Modelled as a composite of its constituent materials.
Uncertainty
±20% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg

Outputs and waste

Wastewater Wastewaterm3 · -36.6% / +75.2%
Derivation basis
  • Calculated from the water balance: fresh-water input minus evaporation.

No source is attached to this row.

Source citations
Not stated
Background data
carried, no background dataset
Background dataset
No treatment route recorded for this output.
Uncertainty
-36.6% / +75.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
m3
Copper in wastewater-treatment sludge/recovery Solid wasteg · -49.3% / +52%
Background data
ecoinvent 3.12 treatment route
Background dataset
market for copper scrap, sorted, pressed
Uncertainty
-49.3% / +52% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Spent dry film resist Solid wasteg · ±25%
Derivation basis
  • Calculated from the mass balance of spent materials and consumables, with treatment selected from the waste classification.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of waste plastic, mixture, municipal incineration
Uncertainty
±25% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Manganate desmear sludge Solid wasteg · -40% / +35%
Source citations (dataset-level)
Inherited from this dataset's own bibliography, not tied to this row:
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, underground deposit
Uncertainty
-40% / +35% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Solder mask develop sludge (unpolymerized resin) Solid wasteg · -34.8% / +30.4%
Derivation basis
  • No retrievable public document identified

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of waste plastic, mixture, municipal incineration
Uncertainty
-34.8% / +30.4% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Phosphorus in wastewater-treatment sludge Solid wasteg · ±47%
Derivation basis
  • Derived: elemental phosphorus balance, the phosphorus reaching treatment less the post-treatment residual

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, underground deposit
Uncertainty
±47% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Flux residue on stencil Solid wasteg
Derivation basis
  • Calculated from the mass balance of spent materials and consumables, with treatment selected from the waste classification.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, hazardous waste incineration, with energy recovery
Uncertainty
No range defined.
Unit
g
Dicing slurry (Si/EMC/Cu particles) Solid wasteg
Derivation basis
  • No retrievable public document identified

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, underground deposit
Uncertainty
No range defined.
Unit
g

Emissions to air

5 elementary flows released to air by this dataset's own operations. Quantities are not published; they ship with the dataset on Circa.

Volatile organic compounds (VOCs) Emission to airg
Derivation basis
  • Calculated as an air release, from a mass balance on the process gases going in, with the destruction or removal efficiency of any point-of-use abatement applied.

No source is attached to this row.

Source citations
Not stated
Compartment
Air (non-urban air or from high stacks)
ecoinvent 3.12 elementary flow
NMVOC, non-methane volatile organic compounds
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
HCHO Emission to airg
Derivation basis
  • Calculated as an air release, from a mass balance on the process gases going in, with the destruction or removal efficiency of any point-of-use abatement applied.

No source is attached to this row.

Source citations
Not stated
Compartment
Air (non-urban air or from high stacks)
CAS number
50-00-0
ecoinvent 3.12 elementary flow
Formaldehyde
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
VOCs (from epoxy cure) Emission to airg
Compartment
Air (non-urban air or from high stacks)
ecoinvent 3.12 elementary flow
NMVOC, non-methane volatile organic compounds
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
Flux volatiles Emission to airg
Derivation basis
  • Calculated as an air release, from a mass balance on the process gases going in, with the destruction or removal efficiency of any point-of-use abatement applied.

No source is attached to this row.

Source citations
Not stated
Compartment
Air (non-urban air or from high stacks)
ecoinvent 3.12 elementary flow
NMVOC, non-methane volatile organic compounds
Uncertainty
No range defined.
Unit
g
Particulates (marking fume) Emission to airg
Derivation basis
  • Estimated from mold compound ablation

No source is attached to this row.

Source citations
Not stated
Compartment
Air (non-urban air or from high stacks)
ecoinvent 3.12 elementary flow
Particulate Matter, < 2.5 um
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g

Emissions to water

4 elementary flows released to water by this dataset's own operations. Quantities are not published; they ship with the dataset on Circa.

Cu2+ Emission to waterg
Source citations
Compartment
Water (surface water)
Formula
Cu
CAS number
7440-50-8
ecoinvent 3.12 elementary flow
Copper ion
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
Ni Emission to waterg
Derivation basis
  • Calculated as a release to water, from a contaminant mass balance on the process chemistry.

No source is attached to this row.

Source citations
Not stated
Compartment
Water (surface water)
Formula
Ni2+
CAS number
14701-22-5
ecoinvent 3.12 elementary flow
Nickel II
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
CN- Emission to waterg
Derivation basis
  • Calculated as a release to water, from a contaminant mass balance on the process chemistry.

No source is attached to this row.

Source citations
Not stated
Compartment
Water (surface water)
CAS number
57-12-5
ecoinvent 3.12 elementary flow
Cyanide
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
Phosphorus (from hypophosphite) Emission to waterg
Source citations
  • EU STM BREF 2006 §2.13.1.13 and §4.16.9.2; EPA E&EC Study Report 2022 Table 13
Compartment
Water (surface water)
Formula
P
CAS number
7723-14-0
ecoinvent 3.12 elementary flow
Phosphorus
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g

Flows not quantified

No flows are recorded for this dataset without a quantity.

Limitations and unquantified flows (4)

Limits this dataset declares about itself: first any limit stated in its own description, then any limit it declares flow by flow, grouped by channel. Each entry below is the model's own disclosure.

  • The die attach on this dataset is a film rather than a dispensed paste. It is booked at the per-die film mass this bill declares, once for each die in the stack, and the paste its die-attach process file would otherwise contribute is withheld so that the two are not counted together; no silver is booked. The declared per-die film mass is an engineering estimate: this dataset states a die size, but the film mass is not derived from that area and a bond line, and the dispense-loss allowance that belongs to dispensed paste is not applied to film.
  • These materials are used at a step of the modelled flow and are also carried by this dataset's own material list. Each is counted once, on that list, and the step does not book it again: Cu or Au wire bonding (all tiers) uses Copper wire (Cu); Ball attach reflow uses SAC305 solder balls.
  • Where the process record behind a step offers a choice of material, the modelled flow takes the one this dataset's own material list carries, and the entries it does not select are not added: Cu or Au wire bonding (all tiers) takes copper wire from that list, not Gold wire (Au); DAF die attach per stacked die takes die attach film from that list, not Die attach epoxy (Ag-filled conductive).
  • Some consumable pulls referenced by the modelled process steps did not resolve to an inventory row and are absent from this dataset. They are itemised in the dataset's own export audit.

The flows above are this dataset's own records. What follows are the scope rules set once for the whole database in the methodology report, repeated here so every dataset page carries them.

Database-wide boundary policy — applies to every REEL dataset

These boundaries are set once for the whole database, in Chapter 2 of the methodology report, and apply to this dataset wherever they are relevant to it. The excluded flows listed above are specific to this dataset.

Use phase
Product operation is outside the cradle-to-gate scope.
End-of-life treatment
Recycling and disposal are outside the cradle-to-gate scope.
Distribution and retail
The gate is a finished component ready for integration into a higher-level assembly.
Inbound transport of raw materials
Transport of purchased raw materials to the manufacturing facility is already inside the upstream "market for" datasets that users link to a background database, so it is not modelled a second time here. This does not cover freight between REEL production stages, which is modelled where a dataset authors it.
Returnable shipping containers
Where freight between production stages is modelled, the mass moved is the product itself. The shipping container (FOSB, SEMI M31) is returnable capital equipment whose per-trip share is unsourced, so its tare is excluded from the transport effort.
Photomask fabrication
A mask set's embodied burden is amortised across a high-volume production run and is not attributed per wafer. Users assessing low-volume production should add mask fabrication separately; the methodology report gives the basis for the exclusion.
Employee transport, administration and R&D overhead
Employee transportation, facility administration and R&D/pilot-production overhead are outside scope.
Capital goods
Manufacturing equipment, cleanroom construction and facility infrastructure are excluded, on the grounds of absent public data on equipment embodied energy, uncertainty in equipment lifetime and allocation, common practice in electronics LCA, and a focus on the operational inventory. Future versions may include capital goods when sufficient public data becomes available.
Precious metal recovery credits
Scrap recovery credits for precious metals are excluded pending data availability.
Wafer reclaim
Test wafers and scrap are outside the system boundary.

Inside the boundary, linked rather than modelled

Silicon ingot growth and wafer slicing
Inside the cradle-to-gate scope, but treated as upstream material inputs linked to background databases rather than modelled as REEL processes.
Freight between production stages
Where a dataset's product moves between REEL production stages - wafer fabrication to the packaging site, for example - that leg is authored as a transport service and linked to an ecoinvent freight activity. It is measured as a transport effort in tonne-kilometres, not as a mass. Route distances are authored per route class with a stated band; a lower bound of zero is a modelling statement that the two sites can be co-located, not a missing value.

Cut-off criteria

A flow is excluded from a process inventory when it contributes less than 1 % of the total mass of inputs to that unit process, or less than 1 % of its total energy input. The denominator is total process inputs, not product mass. That distinction matters in semiconductor manufacturing, where the input mass of water, chemicals and gases greatly exceeds the product mass, so the threshold removes only genuinely minor flows.

Included regardless of the cut-off

  • Perfluorocarbons (CF4, C2F6, SF6, NF3) - high GWP, EPA regulated
  • Heavy metals (Pb, Cd, Hg, Cr(VI)) - RoHS regulated, high toxicity
  • Volatile organics (photoresist solvents, PGMEA) - air quality
  • Precious metals (Au, Ag, Pd, Pt) - high embodied impacts
  • Ozone-depleting substances (legacy CFCs, HCFCs) - Montreal Protocol