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Overview

General comment

Ball bearing slide rail pair for mounting 1 RU trays in MGX racks. Features blind-mate alignment for liquid cooling connections and T-pin interface for chassis attachment. Extended depth (~900mm) to support deep compute trays. Includes inner rail (chassis-mounted), intermediate rail, and outer rail (rack-mounted).

Technology
Mechanical Infrastructure, Rack Mounting Hardware
Geography
Global average data from equipment vendor specifications and industry literature

System boundary

System boundary - MGX Slide RailSystem 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.MGX Slide RailGATE INRaw materials and sub-componentsENTERING FLOWSElectricityMaterialsProcess activitySYSTEM BOUNDARYMODELLED PROCESS SEQUENCEProcess sequenceRoll Forming and PunchingZinc ElectroplatingRail AssemblyREFERENCE PRODUCTMGX Slide RailAssembled and tested componentEMISSIONS 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 reason3FLOWSsystem 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 2.4 Good
Reliability
4.0
Completeness
3.0
Temporal
1.0
Geographic
2.0
Technological
3.0

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

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

Technosphere inputs

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

Steel Sheet/Strip Rolling Process activitykg
Derivation basis
  • Specified for this manufacturing operation and scaled to the dataset's functional unit.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
sheet rolling, steel
Notes
Cold rolling of steel strip for rail profiles
Uncertainty
No range defined.
Unit
kg
Zinc Electroplating Process activitym2
Derivation basis
  • Specified for this manufacturing operation and scaled to the dataset's functional unit.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
zinc coat, pieces
Notes
Zinc plating for corrosion protection
Uncertainty
No range defined.
Unit
m2
Electricity, Global (GLO) ElectricitykWh · -35.1% / +49.1%
Derivation basis
  • Calculated from equipment energy across all manufacturing operations. This model includes no facility support, so the total is the manufacturing operations alone.

The sources for this row are listed below.

Source citations (dataset-level)
  • MGX Accelerated Computing Rack and Trays Specification 1.1
Background data
ecoinvent 3.12
Background dataset
electricity, medium voltage
Uncertainty
-35.1% / +49.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kWh
Cold Rolled Steel 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)
  • MGX Accelerated Computing Rack and Trays Specification 1.1
Background data
ecoinvent 3.12
Background dataset
steel, low-alloyed, hot rolled
Uncertainty
±20% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Ball Bearings Materialkg · ±30%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

The sources for this row are listed below.

Source citations (dataset-level)
  • MGX Accelerated Computing Rack and Trays Specification 1.1
Background data
proxy-mapped
Background dataset
steel, chromium steel 18/8, hot rolled
Uncertainty
±30% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Hardware Materialkg · ±33.3%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

The sources for this row are listed below.

Source citations (dataset-level)
  • MGX Accelerated Computing Rack and Trays Specification 1.1
Background data
ecoinvent 3.12
Background dataset
steel, low-alloyed, hot rolled
Uncertainty
±33.3% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Bearing Grease Materialkg · ±30%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

The sources for this row are listed below.

Source citations (dataset-level)
  • MGX Accelerated Computing Rack and Trays Specification 1.1
Background data
proxy-mapped
Background dataset
lubricating oil
Uncertainty
±30% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg

Outputs and waste

Cold Rolled Steel Blanking Solid wastekg · -21.5% / +42.9%
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
market for iron scrap, sorted, pressed
Uncertainty
-21.5% / +42.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Rejected Assemblies Solid wastekg · -50% / +100%
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 inert waste, sanitary landfill
Uncertainty
-50% / +100% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Trimming Scrap Solid wasteg · -50% / +150%
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
market for iron scrap, sorted, pressed
Uncertainty
-50% / +150% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Lubricant Residue 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
Packaging waste 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 inert waste, sanitary landfill
Uncertainty
No range defined.
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

3 flows are recorded for this dataset but carry no quantity — cut off below the significance threshold, or with no background dataset available. They remain inside the declared system boundary; each is listed with its reason.

Not modelled (3)

Process materials, infrastructure fabrication steps Materialkg
Derivation basis
Not stated
Source citations
Not stated
Background data
not modelled
Background dataset
Not applicable: this flow is not quantified in the inventory.
Reason
The referenced fabrication steps consume process materials that are recorded but not quantified in this dataset; this infrastructure model carries only the energy of those steps - deferred, not judged immaterial.
Uncertainty
No range defined.
Unit
kg
Process gases, infrastructure fabrication steps Process gaskg
Derivation basis
Not stated
Source citations
Not stated
Background data
not modelled
Background dataset
Not applicable: this flow is not quantified in the inventory.
Reason
The referenced fabrication steps consume process gases that are recorded but not quantified in this dataset; this infrastructure model carries only the energy of those steps - deferred, not judged immaterial.
Uncertainty
No range defined.
Unit
kg
Process water, infrastructure fabrication steps WaterL
Derivation basis
Not stated
Source citations
Not stated
Background data
not modelled
Background dataset
Not applicable: this flow is not quantified in the inventory.
Reason
The referenced fabrication steps use process water that is recorded but not quantified in this dataset; this infrastructure model carries only the energy of those steps - deferred, not judged immaterial.
Uncertainty
No range defined.
Unit
L

Limitations and unquantified flows (1)

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 flows are named in this inventory but ship without a quantity, so their burden is not carried anywhere in the dataset: Process gases, infrastructure fabrication steps; Process materials, infrastructure fabrication steps; Process water, infrastructure fabrication steps. Each row states its own reason on the row itself.

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