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Overview

General comment

Production covered

Flip-chip ball grid array assembly: the die faces down onto a four-layer organic substrate whose underside carries the solder balls, in a mid-size body for graphics parts and accelerators. 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
FC-BGA
Geography
Global average data from equipment vendor specifications and industry literature

System boundary

System boundary - Flip-Chip Ball Grid Array 35x35mm 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.Flip-Chip Ball Grid Array 35x35mm packageGATE INRaw materials and sub-componentsENTERING FLOWSElectricityWaterProcess gasesProcess chemicalsMaterialsSYSTEM BOUNDARYMODELLED UNIT PROCESSES, BY CLASSAssemblyFlipchip bumpingFlux applicationTCB bondingUnderfill dispenseUnderfill moldingLid attachTestPackage final test logic SoCMarkingLaser markingREFERENCE PRODUCTFlip-Chip Ball Grid Array 35x35mmpackageAssembled and tested productEMISSIONS AND WASTEEmissions to airEmissions to waterWaste routesRECORDED BUT NOT QUANTIFIEDIn scope, left out of the quantified inventoryCut off below the significance threshold, or with no background dataset available - each is listed with its reason1FLOWsystem 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 1.8 Very good
Reliability
2.7
Completeness
2.2
Temporal
1.4
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
9 — the source records behind this dataset's manufacturing operations. Each carries the five pedigree axes above; the composite DQI aggregates them.

Technosphere inputs

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

ArF Photoresist Process chemicalg · -33.3% / +66.7%
Upstream REEL dataset
ArF Photoresist (193nm)
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
-33.3% / +66.7% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
TMAH Developer (2.38% solution) Process chemicalg · ±33.3%
Derivation basis
  • Developer usage

No source is attached to this row.

Source citations
Not stated
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
±33.3% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Water supply (municipal) Waterm3 · -34.2% / +15.8%
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
-34.2% / +15.8% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
m3
Electricity, Taiwan (TW) ElectricitykWh · -70.7% / +167.2%
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

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
-70.7% / +167.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kWh
Ar Process gasg · -76.5% / +76.4%
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
ecoinvent 3.12
Background dataset
argon, liquid
Uncertainty
-76.5% / +76.4% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
N2 Process gasg · -29.4% / +36.1%
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
nitrogen, liquid
Uncertainty
-29.4% / +36.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Compressed air Process gasg · -3.1% / +4.6%
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
compressed air, 700 kPa gauge
Uncertainty
-3.1% / +4.6% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
H2 Process gasg · -50% / +100.1%
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
hydrogen, gaseous, low pressure
Uncertainty
-50% / +100.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Compressed air (tool) Process gasg · -33.4% / +66.6%
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
compressed air, 700 kPa gauge
Uncertainty
-33.4% / +66.6% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Cu plating bath (CuSO4 + H2SO4) Process chemicalg · -33.3% / +50%
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
copper sulfate
Uncertainty
-33.3% / +50% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Flux paste Process chemicalg · -60% / +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
flux, for wave soldering
Uncertainty
-60% / +100% 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 (no-clean) Process chemicalg · -60% / +100%
Derivation basis
  • Typical flux application

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
flux, for wave soldering
Uncertainty
-60% / +100% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Capillary underfill (epoxy) Process chemicalg · -33.5% / +49.8%
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
epoxy resin insulator, SiO2
Uncertainty
-33.5% / +49.8% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Lid adhesive (silicone) Process chemicalg · -69% / +343.1%
Source citations
Background data
ecoinvent 3.12
Background dataset
silicone product
Uncertainty
-69% / +343.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
BT resin core + ABF buildup Materialunit · ±12.2%
Derivation basis
  • Calculated by the manufacturing model. The linked REEL dataset carries the upstream life cycle sources.

No source is attached to this row.

Source citations
Not stated
Upstream REEL dataset
ABF Substrate
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
±12.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
unit
Cu Materialkg
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, cathode
Uncertainty
No range defined.
Unit
kg
TIM Materialkg · -50.8% / +146.2%
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
ecoinvent 3.12
Background dataset
silicone product
Uncertainty
-50.8% / +146.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg

Outputs and waste

Wastewater Wastewaterm3 · -34.2% / +15.8%
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
-34.2% / +15.8% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
m3
Spent photoresist (liquid spin-off) Solid wasteg · -33.8% / +385.8%
Source citations
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, hazardous waste incineration, with energy recovery
Uncertainty
-33.8% / +385.8% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Photoresist solids in NMP strip bath Solid wasteg · -33.2% / +66.8%
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, hazardous waste incineration, with energy recovery
Uncertainty
-33.2% / +66.8% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Copper in wastewater-treatment sludge/recovery Solid wasteg · -2.5% / +0.5%
Background data
ecoinvent 3.12 treatment route
Background dataset
market for copper scrap, sorted, pressed
Uncertainty
-2.5% / +0.5% 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
Mixed process waste Solid wasteg
Derivation basis
  • Calculated from the mass balance of spent materials and consumables, with treatment selected from the waste classification.

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 treatment route
Background dataset
treatment of inert waste, sanitary landfill
Uncertainty
No range defined.
Unit
g

Emissions to air

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

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
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
VOCs (from underfill cure) 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
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
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
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
Sn2+ Emission to waterg
Source citations
Compartment
Water (surface water)
Formula
Sn
CAS number
7440-31-5
ecoinvent 3.12 elementary flow
Tin ion
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
Ammonium Emission to waterg
Source citations
Compartment
Water (surface water)
Formula
NH4+
CAS number
14798-03-9
ecoinvent 3.12 elementary flow
Ammonium
Notes
TMAH biodegrades in WWTP; NH4+ mass fraction 18.04/91.15
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
Dissolved organics (COD) Emission to waterg
Source citations
Compartment
Water (surface water)
ecoinvent 3.12 elementary flow
COD, Chemical Oxygen Demand
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g

Flows not quantified

1 flow is recorded for this dataset but carries no quantity — cut off below the significance threshold, or with no background dataset available. It remains inside the declared system boundary; each is listed with its reason.

Cut off - below the significance threshold (1)

SnAg plating bath (MSA-based) Process chemicalg · -40% / +60%
Derivation basis
  • Solder plating bath

No source is attached to this row.

Source citations
Not stated
Background data
cut off
Background dataset
Not applicable: this flow is not quantified in the inventory.
Reason
The tin-silver plating bath is consumed in trace quantity and its formulation is complex, recorded in this inventory. This row covers the bath chemistry alone; the tin and silver the bath deposits onto the package are not carried on it. Where this dataset lists no separate deposited-solder material row, the deposited tin and silver are absent from the dataset altogether rather than accounted for elsewhere, and whether they belong inside this boundary is an open question this record does not settle. The bath chemistry falls below the declared cut-off threshold, so no upstream production dataset is attached.
Uncertainty
-40% / +60% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g

Limitations and unquantified flows (2)

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.

  • 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: UBM PVD and Cu pillar uses Copper (anode or replenishment); Lid attach (TIM + IHS) uses Thermal Interface Material.
  • 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