Gaming Hardware Supply Chain Disruptions

This dataset provides detailed records of disruptions across key nodes in the gaming hardware supply chain, including causes, impacts, mitigation actions, and vendor information. It enables risk analysis, inventory optimization, and resilience planning for gaming businesses and hardware distributors by tracking disruption sources, severity, and resolution timelines.

  • last updated 7 Jan 2026
  • by GoMask
The brief that made it

Supply chain risk analysis and resilience planning for gaming hardware distributors

Sample rows

preview · 8 of 85 rows · all 26 columns
disruption_idstringimpact_severitystringestimated_impact_duration_daysintegernode_countrystringreported_datedateresolved_datedatesupply_chain_node_idstringsupply_chain_node_namestringnode_typestringnode_citystringhardware_categorystringproduct_modelstringvendor_idstringvendor_namestringdisruption_typestringdisruption_causestringactual_impact_duration_daysintegerinventory_impact_unitsintegerfinancial_impact_usdfloatmitigation_actionstringmitigation_start_datedatemitigation_end_datedatemitigation_effectivenessstringreported_bystringnotesstringimpact_descriptionstring
D20240601001high10China2024-06-012024-06-07NODE1001Shenzhen Graphics PlantmanufacturerShenzhengraphics cardRTX 4080-GSVEND9001GigaStream ElectronicsshortageRaw material shortage61500420000Sourced alternative suppliers for copper.2024-06-022024-06-07effectiveopmgr_liCopper price surges due to global supply constraints.Production halted for high-end GPUs; shipment delays expected.
D20240601002medium7Netherlands2024-05-22blankNODE1002Rotterdam Port TerminallogisticsRotterdamconsolePlayBox UltraVEND9002FunPlay CorpdelayPort congestionblank90095000Diverted shipments to Antwerp.2024-05-23blankpartially effectivelogistics_eu_teamAntwerp capacity limited; some units still delayed.Delayed unloading of gaming consoles, impacting EU inventory.
D20240601003medium5Germany2024-05-152024-05-18NODE1003Berlin Distribution CenterdistributorBerlincontrollerXtremePad ZVEND9003NextWave Gamingquality issueDefective batch from supplier330018000Inspection protocol improved.2024-05-162024-05-18highly effectiveqa_mgr_berlinSupplier agreed to reimburse for defective units.Returned 300 units due to faulty triggers.
D20240601004critical12India2024-06-03blankNODE1004Mumbai Component Hubcomponent supplierMumbaiCPUZenCore 7XVEND9004CoreLogic IndiashortageLabor strikeblank2100510000Negotiating with union for expedited resolution.2024-06-04blankineffectivesupply_mgr_indiaUnion demands for wage increase unresolved.All CPU shipments suspended; severe impact on global production.
D20240601005medium6USA2024-05-202024-05-25NODE1005Los Angeles Retail HubretailerLos AngelesstorageFlashVault 2TBVEND9005HyperStorage IncdelayCustoms delay580079000Expedited customs clearance.2024-05-212024-05-25effectivestore_mgr_laCustoms paperwork error corrected.SSD inventory held at customs, delayed retail launch.
D20240601006high9Japan2024-05-30blankNODE1006Osaka Logistics CenterlogisticsOsakamotherboardSuperBoard Z9VEND9006KyotoTechlogistics failureRail strikeblank1300120000Arranged alternative trucking routes.2024-05-31blankpartially effectivelogistics_mgr_osakaTrucking costs increased by 25%.Rail transport suspended, affecting motherboard deliveries.
D20240601007medium7USA2024-05-182024-05-22NODE1007San Jose AssemblymanufacturerSan Josegraphics cardGTX Turbo 3070VEND9007TurboLogic Ltdquality issueFaulty capacitors440035000Supplier replacement agreement.2024-05-192024-05-22effectiveqa_sanjoseSupplier to cover repair costs.Batch recall of 400 units due to power instability.
D20240601008high8Singapore2024-06-04blankNODE1008Singapore Distribution HubdistributorSingaporeconsoleGameBox SVEND9008AsiaGaming GlobaldelayShipping delay due to monsoonblank105099000Priority air freight arranged.2024-06-05blankpartially effectivesg_distro_mgrAir freight costs exceeded budget.Consoles delayed by heavy rains; retail partners affected.

What the 85 rows show

from the 85-row sample

Low (impact severity) stands out: mean estimated_impact_duration_days is 2.9, against 7.4 for the rest.

  • 6median estimated_impact_duration_days
  • 4mitigation effectivenesses
  • 6disruption types
  • 7node types
  • 7hardware categories
  • 4median actual_impact_duration_days
Mean estimated_impact_duration_days by impact_severity85 rows
010202.9low13 rows5.6medium40 rows8.7high25 rows13.4critical7 rows
estimated_impact_duration_days85 rows, in bands of 2
015301625171075301121222estimated_impact_duration_days →

Median 6, from 2 to 21.

node_country85 rows · top 10 of 40 values
  1. Germany4
  2. India4
  3. Canada4
  4. South Africa4
  5. Spain4
  6. Italy4
  7. China3
  8. USA3
  9. Japan3
  10. Brazil3
26 columns by typefrom the column list below
  • string 18
  • integer 3
  • float 1
  • date 4

Columns

26 columns in three groups
blueprint · 26 columns
columntypedescriptionexample
Text 18 columns
disruption_idstringUnique identifier for each supply chain disruption eventuniqueD20240601001
supply_chain_node_idstringUnique identifier for the affected supply chain node (e.g., factory, warehouse, port)NODE1001
supply_chain_node_namestringName of the affected supply chain nodeShenzhen Graphics Plant
node_typestringType of supply chain node (e.g., manufacturer, distributor, logistics, retailer, component supplier)6 valuesmanufacturer
node_countrystringCountry where the supply chain node is locatedChina
node_citystringCity where the supply chain node is locatedoptionalShenzhen
hardware_categorystringCategory of gaming hardware affected (e.g., graphics card, console, controller, accessory)8 valuesgraphics card
product_modelstringSpecific product model or SKU affected by the disruptionoptionalRTX 4080-GS
vendor_idstringUnique identifier for the vendor or supplier associated with the disruptionoptionalVEND9001
vendor_namestringName of the vendor or supplieroptionalGigaStream Electronics
disruption_typestringType of disruption (e.g., shortage, delay, quality issue, logistics failure, regulatory, natural disaster)7 valuesshortage
disruption_causestringRoot cause or trigger of the disruption (e.g., raw material shortage, labor strike, customs delay, pandemic)optionalRaw material shortage
impact_severitystringSeverity of the disruption's impact (e.g., low, medium, high, critical)low · medium · high · criticalhigh
impact_descriptionstringDetailed description of the disruption's impact on supply, inventory, or operationsoptionalProduction halted for hig…
mitigation_actionstringDescription of mitigation actions taken to address the disruptionoptionalIssued firmware patch.
mitigation_effectivenessstringAssessment of how effective the mitigation actions were (e.g., ineffective, partially effective, effective, highly effective)4 values · optionaleffective
reported_bystringName or identifier of the person or organization reporting the disruptionoptionalopmgr_li
notesstringAdditional notes or comments about the disruption eventoptionalNo casualties reported.
Numbers 4 columns
estimated_impact_duration_daysintegerEstimated duration of the disruption's impact in days0 or more · optional10
actual_impact_duration_daysintegerActual duration of the disruption's impact in days (if resolved)0 or more · optional6
inventory_impact_unitsintegerNumber of hardware units affected or delayed due to the disruption0 or more · optional1500
financial_impact_usdfloatEstimated financial impact of the disruption in USD0 or more · optional420000
Dates and times 4 columns
reported_datedateDate when the disruption was first reported2024-06-01
resolved_datedateDate when the disruption was resolved (if applicable)optional2024-06-07
mitigation_start_datedateDate when mitigation actions were initiatedoptional2024-06-02
mitigation_end_datedateDate when mitigation actions were completedoptional2024-06-07

Use it for

  • median estimat…685 rowsmean estimated impact…2.9low5.6medi…8.7high13.4crit…

    A logistics dashboard

    Estimated_impact_duration_days by impact_severity and a breakdown of node_country. Excel, Power BI or Tableau.

  • Why do the 13 low rows have a mean estimated_impact_duration_days of 2.9?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable disruptions with reported_date, resolved_date and supply_chain_node_id to fill a screen in front of a buyer.

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This dataset85 rows26 columns
Yours1,000 rows26 columnsnode_country: UK only

blueprint · gaming-hardware-supply-chain-disruptions

Behind this dataset

Same schema. As many rows as you need.

These 85 rows came out of a blueprint — 26 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each disruption entry includes node type, disruption type, severity, and duration.
  • Disruptions categorized by cause (e.g., logistics, component shortage, regulatory).
  • All entries timestamped for event sequence analysis.
  • Vendor and product ID must be unique per row.
  • Mitigation status (Resolved/In Progress/Unresolved) required for each event.
  • Estimated financial impact is provided for advanced analysis.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
gaming-hardware-supply-chain-disruptions

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