Overview
- Technology
- 130 nm Standard Logic Buffer in TSSOP
- Geography
- Global average data from equipment vendor specifications, academic papers, and assembly industry data
System boundary
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.
Data quality and references
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, packaging process literature
- Coverage status
- Composed from linked REEL datasets
- Pedigree-scored source files
- 42 — the source records behind this dataset's manufacturing operations. Each carries the five pedigree axes above; the composite DQI aggregates them.
Technosphere inputs
6 flows. Quantities are not published; they ship with the dataset on Circa.
130nm CMOS REEL datasetwafer
- 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
- 130nm Planar wafer, 300mm, moderate scenario
- Background dataset
- Modelled by REEL; see the upstream dataset above.
- Notes
- Pre-calculated
- Uncertainty
- No range defined.
- Unit
- wafer
TSSOP REEL datasetpackage
- 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
- Thin Shrink Small Outline package
- Background dataset
- Modelled by REEL; see the upstream dataset above.
- Notes
- Adjusted for packaging yield.
- Uncertainty
- No range defined.
- Unit
- package
Wafer transport, TW fab to packaging site - Air (medium haul) Freight transporttkm · -100% / +521.8%
- Derivation basis
-
- Specified for this manufacturing operation and scaled to the dataset's functional unit.
The sources below come from the manufacturing operations behind this row.
- Sources (inherited)
- Inherited, rolled up from the contributing process steps:
- theedgemalaysia.com (date not recorded). The Edge Malaysia, Condivergence - Chip packaging's place in Malaysia's semiconductor strategy. Trade press article.
- unctad.org (date not recorded). Kam, UNCTAD Project Paper 16, April 2025 (Malaysia semiconductor). Report.
- aseglobal.com (date not recorded). ASE Plants & Offices (first-party site list).
- trendforce.com (date not recorded). TrendForce 2023-10-18, mature vs advanced capacity press release. Trade press article.
- trendforce.com (date not recorded). TrendForce 2025-05-13, 2024 top-10 OSAT ranking. Trade press article.
- How to Ship a Wafer Safely (EMO Trans)
- Background data
- ecoinvent 3.12
- Background dataset
- transport, freight, aircraft, dedicated freight, medium haul
- Notes
- Freight for the part-finished product moving between REEL-modelled sites: the wafer fraction this dataset consumes, travelling from mature-node foundry fab to offshore commodity OSAT share. Shipped mass is that wafer fraction times the wafer mass implied by its declared diameter, times a shipping-packaging factor covering the returnable front-opening shipping box and its secondary carton; the packaging production burden is excluded as returnable, while its mass is carried because freight scales with what is actually shipped. Air freight is allocated on chargeable weight rather than actual shipped mass. The authored band carries marginal mature-lane mode-share uncertainty: the lower endpoint allows this mode's share to be zero and the upper assigns all shipment mass to its own longest-lane air endpoint with chargeable-weight allocation and reusable-carrier return, not aircraft backhaul. Road and air endpoints are anti-correlated and not additive.
- Uncertainty
- -100% / +521.8% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- tkm — tonne-kilometres, a transport effort rather than a mass
Wafer transport, TW fab to packaging site - Road Freight transporttkm · -100% / +788.9%
- Derivation basis
-
- Specified for this manufacturing operation and scaled to the dataset's functional unit.
The sources below come from the manufacturing operations behind this row.
- Sources (inherited)
- Inherited, rolled up from the contributing process steps:
- Focus Taiwan report, 2026-04-10: ASE Kaohsiung operations
- TrendForce news report, 2024-08-06: SPIL chip-on-wafer order
- Background data
- ecoinvent 3.12
- Background dataset
- transport, freight, lorry, unspecified
- Notes
- Freight for the part-finished product moving between REEL-modelled sites: the wafer fraction this dataset consumes, travelling from mature-node foundry fab to domestic commodity OSAT share. Shipped mass is that wafer fraction times the wafer mass implied by its declared diameter, times a shipping-packaging factor covering the returnable front-opening shipping box and its secondary carton; the packaging production burden is excluded as returnable, while its mass is carried because freight scales with what is actually shipped. Road freight is allocated on actual shipped mass, and the mapped road market already includes carrier empty returns; the central therefore has no return uplift. The authored band carries marginal mature-lane mode-share uncertainty: the lower endpoint allows this mode's share to be zero and the upper assigns all shipment mass to its own physically reachable intra-island road endpoint. Road and air endpoints are anti-correlated and not additive.
- Uncertainty
- -100% / +788.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- tkm — tonne-kilometres, a transport effort rather than a mass
Electricity, Taiwan (TW) ElectricitykWh · ±25%
- Derivation basis
-
- Single blade wafer-dicing step, allocated to this die from the wafer-level inventory by die area and wafer diameter, grossed up for the packaging yield loss and multiplied by die count. Owned at the IC level because the packaging leaf removed its die-preparation step and the wafer dataset books no singulation. Not an aggregate and carries no facility support.
The sources for this row are listed below.
- Source citations
-
- Disco Corporation DFD6361 dicing saw specifications (blade-dicing process power and wafer throughput)
- Background data
- ecoinvent 3.12
- Background dataset
- electricity, high voltage
- Notes
- Wafer dicing (blade), allocated to this die. Owned at the IC level: the packaging leaf removed its die-preparation step and the wafer dataset books no singulation, so this dataset is where the cut is counted. Already inside the wafer-stage total this dataset reports; published as its own row because no technosphere reference in this dataset carries it.
- Uncertainty
- ±25% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- kWh
Water supply (municipal) WaterL · ±23.1%
- Derivation basis
-
- Cutting water for the single blade wafer-dicing step above, on the same per-die allocation. Not an aggregate of process-step water demand.
The sources for this row are listed below.
- Source citations
-
- Disco Corporation DFD6361 dicing saw specifications (blade-dicing cutting-water flow rate)
- Background data
- ecoinvent 3.12
- Background dataset
- tap water
- Notes
- Wafer dicing (blade), allocated to this die. Owned at the IC level: the packaging leaf removed its die-preparation step and the wafer dataset books no singulation, so this dataset is where the cut is counted. Already inside the wafer-stage total this dataset reports; published as its own row because no technosphere reference in this dataset carries it.
- Uncertainty
- ±23.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- L
Outputs and waste
Failed packages (assembly reject) Solid wasteg · -88.7% / +185.9%
- 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 electric and electronic equipment, shredding
- Uncertainty
- -88.7% / +185.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- g
Silicon Kerf Solid wasteg · ±25%
- Source citations
-
- Semiconductor Digest, reported blade-dicing kerf width
- Background data
- ecoinvent 3.12 treatment route
- Background dataset
- treatment of inert waste, sanitary landfill
- Notes
- Wafer dicing (blade), allocated to this die. Owned at the IC level: the packaging leaf removed its die-preparation step and the wafer dataset books no singulation, so this dataset is where the cut is counted. Already inside the wafer-stage total this dataset reports; published as its own row because no technosphere reference in this dataset carries it.
- Uncertainty
- ±25% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- g
Emissions to air
No emissions to air are recorded at this level.
Emissions to water
No emissions to water are recorded at this level.
Flows not quantified
No flows are recorded for this dataset without a quantity.
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
Standard-logic buffer and line driver on a mature, high-volume planar silicon wafer, molded into a thin narrow package with fine gull-wing leads on two sides.