Logistics
23 columns
120 rows
8 formats

EV Charger Supply Chain Mapping

This dataset provides a detailed, stage-by-stage mapping of the EV charger supply chain, tracking each component from raw material sourcing through manufacturing, transport, and installation. It includes supplier information, logistics data, environmental impact estimates, and bottleneck identification, enabling operators and analysts to optimize supply chain resilience, sustainability, and efficiency.

last updated 30 Jan 2026
by GoMask

The brief that made it

Identifying and mitigating supply chain bottlenecks for EV charger deployment

Sample rows

preview · 8 of 120 rows · all 23 columns

supply_stage_idstring	supply_stagestring	quantityfloat	bottleneck_flagboolean	material_typestring	component_idstring	component_namestring	supplier_idstring	supplier_namestring	supplier_countrystring	supplier_citystring	unitstring	stage_start_datedate	stage_end_datedate	transport_modestring	origin_countrystring	destination_countrystring	distance_kmfloat	lead_time_daysfloat	co2e_kgfloat	last_updateddatetime	dependency_notesstring	environmental_impact_notesstring
SSG-00001	raw_material	15600.5	false	copper	CMP-PWR-001	Power Module	SUP-CHN-101	Guangzhou Metals Ltd	China	Guangzhou	kg	2023-02-01	2023-02-08	rail	China	Germany	5270	7	2450.2	2023-02-08T15:54:23Z	blank	Mining activity increases land degradation and water pollution.
SSG-00002	manufacturing	4100	false	metal alloy	CMP-PWR-001	Power Module	SUP-DEU-202	Berlin Power Fabrication	Germany	Berlin	units	2023-02-09	2023-02-16	truck	blank	blank	120	7	320.1	2023-02-16T17:13:49Z	blank	Production processes contribute to air emissions and energy use.
SSG-00003	transport	3800	true	blank	CMP-PWR-001	Power Module	SUP-SGP-303	Lion Shipping Group	Singapore	Singapore	units	2023-02-17	2023-02-22	ship	Germany	USA	6900	5	840.5	2023-02-22T19:15:12Z	Port congestion delayed shipment by 2 days.	Heavy fuel oil usage increases marine emissions during transport.
SSG-00004	assembly	3100	false	blank	CMP-PWR-001	Power Module	SUP-USA-404	Eagle Assembly Solutions	USA	Charlotte	units	2023-02-23	2023-03-01	blank	blank	blank	0	6	55.3	2023-03-01T13:17:08Z	blank	Labor and energy use drive moderate environmental impacts in assembly.
SSG-00005	installation	1	false	blank	CMP-PWR-001	Power Module	SUP-UK-505	Green Install Services	UK	London	unit	2023-03-02	2023-03-03	blank	blank	blank	0	1	0.12	2023-03-03T08:30:59Z	blank	Minimal CO2e as installation uses local renewable energy.
SSG-00006	raw_material	12230	false	copper	CMP-CBL-002	Charging Cable	SUP-AUS-111	Sydney Copper Co	Australia	Sydney	kg	2022-09-10	2022-09-17	truck	Australia	Vietnam	3200	7	1690.7	2022-09-17T11:55:43Z	blank	Open pit mining causes significant dust and groundwater impact.
SSG-00007	manufacturing	3200	false	PVC	CMP-CBL-002	Charging Cable	SUP-VNM-212	Da Nang Cable Works	Vietnam	Da Nang	meters	2022-09-18	2022-09-27	blank	blank	blank	0	9	208.9	2022-09-27T20:05:44Z	blank	Plastic extrusion creates moderate VOC emissions.
SSG-00008	transport	2800	false	blank	CMP-CBL-002	Charging Cable	SUP-BRA-313	Rio Logistics Group	Brazil	Rio de Janeiro	meters	2022-09-28	2022-10-02	rail	Vietnam	India	5100	4	610.3	2022-10-02T18:19:39Z	blank	Diesel rail transport increases fine particulate emissions.
SSG-00009	assembly	2200	false	blank	CMP-CBL-002	Charging Cable	SUP-IND-414	Mumbai Assembly Co	India	Mumbai	meters	2022-10-03	2022-10-08	blank	blank	blank	0	5	37.8	2022-10-08T12:27:11Z	blank	Labor practices and energy use are main environmental drivers.
SSG-00010	installation	1	false	blank	CMP-CBL-002	Charging Cable	SUP-ZAF-515	Cape Install Ltd	South Africa	Cape Town	unit	2022-10-09	2022-10-09	blank	blank	blank	0	0	0.07	2022-10-09T09:03:21Z	blank	Solar-powered installation reduces carbon footprint.
SSG-00011	raw_material	18000	false	polypropylene	CMP-HSG-003	Charger Housing	SUP-RUS-121	Novosibirsk Plastics	Russia	Novosibirsk	kg	2022-11-15	2022-11-22	ship	Russia	South Korea	8100	7	2750.8	2022-11-22T16:29:10Z	blank	Plastic manufacturing increases microplastic contamination risk.
SSG-00012	manufacturing	2800	false	ABS plastic	CMP-HSG-003	Charger Housing	SUP-KOR-222	Busan Housing Works	South Korea	Busan	units	2022-11-23	2022-11-28	blank	blank	blank	0	5	190.6	2022-11-28T17:41:07Z	blank	ABS extrusion emissions, moderate energy usage.
SSG-00013	transport	2500	true	blank	CMP-HSG-003	Charger Housing	SUP-CAN-323	Maple Freight Solutions	Canada	Vancouver	units	2022-11-29	2022-12-03	pipeline	South Korea	Spain	7400	4	910.3	2022-12-03T21:30:47Z	Pipeline repairs delayed freight by 3 days.	Pipeline leaks present risk of localized contamination.
SSG-00014	assembly	2100	true	blank	CMP-HSG-003	Charger Housing	SUP-ESP-424	Madrid Assembly Group	Spain	Madrid	units	2022-12-04	2022-12-09	blank	blank	blank	0	5	42.2	2022-12-09T16:04:12Z	Labor strike interrupted assembly schedule.	Assembly labor disputes increase idle energy costs.
SSG-00015	installation	1	false	blank	CMP-HSG-003	Charger Housing	SUP-FRA-525	Paris Install & Maintenance	France	Paris	unit	2022-12-10	2022-12-11	blank	blank	blank	0	1	0.11	2022-12-11T11:20:33Z	blank	Urban installation uses electric vehicles, reducing emissions.
SSG-00016	raw_material	7900	false	tin	CMP-CTR-004	Controller PCB	SUP-JPN-131	Nagoya Tin Mining	Japan	Nagoya	kg	2023-05-19	2023-05-25	ship	Japan	Vietnam	3500	6	1580.1	2023-05-25T18:11:29Z	blank	Tin mining can lead to severe soil erosion and aquatic toxicity.
SSG-00017	manufacturing	2900	false	PCB substrate	CMP-CTR-004	Controller PCB	SUP-VNM-232	Ho Chi Minh PCB Works	Vietnam	Ho Chi Minh City	units	2023-05-26	2023-06-02	blank	blank	blank	0	7	376.8	2023-06-02T14:24:55Z	blank	PCB production releases hazardous waste and solvents.
SSG-00018	transport	2200	true	blank	CMP-CTR-004	Controller PCB	SUP-CAN-333	Toronto Express Cargo	Canada	Toronto	units	2023-06-03	2023-06-09	air	Vietnam	USA	12500	6	990.2	2023-06-09T22:01:36Z	Airport staffing shortage caused delay.	Air freight contributes high per-unit carbon emissions.
SSG-00019	assembly	1700	false	blank	CMP-CTR-004	Controller PCB	SUP-USA-434	Houston PCB Assembly	USA	Houston	units	2023-06-10	2023-06-15	blank	blank	blank	0	5	66.7	2023-06-15T10:01:27Z	blank	Energy source for assembly is primarily grid electricity.
SSG-00020	installation	1	false	blank	CMP-CTR-004	Controller PCB	SUP-ESP-535	Barcelona Installers S.A.	Spain	Barcelona	unit	2023-06-16	2023-06-16	blank	blank	blank	0	0	0.09	2023-06-16T17:18:44Z	blank	Site powered by solar, minimal extra emissions.

What the 120 rows show

from the 120-row sample

Raw_material (supply stage) stands out: mean quantity is 13,992, against 2,062 for the rest.

18%bottleneck_flag = true
2,671median quantity
4units
6transport modes
7component names
10destination countries

Mean quantity by supply_stage120 rows

quantity120 rows, in bands of 2,000

Median 2,671, from 1.0 to 18,000.

material_type48 rows with a value · 72 left blank

metal alloy9
copper7
polypropylene6
aluminum6
PVC5
ABS plastic5
tin5
PCB substrate5

23 columns by typefrom the column list below

string 15
float 4
date 2
datetime 1
boolean 1

Columns

23 columns in four groups

blueprint · 23 columns
column	type	description	example
Text 15 columns
`supply_stage_id`	string	Unique identifier for the supply chain stage recordunique	SSG-00001
`component_id`	string	Unique identifier for the EV charger component	CMP-PWR-001
`component_name`	string	Name of the EV charger component (e.g., power module, cable, housing)7 names	Power Module
`supply_stage`	string	Name of the supply chain stage (e.g., raw_material, manufacturing, assembly, transport, installation)5 values	raw_material
`supplier_id`	string	Unique identifier for the supplier at this stage	SUP-CHN-101
`supplier_name`	string	Name of the supplier or manufacturer	Guangzhou Metals Ltd
`supplier_country`	string	Country where the supplier is located	China
`supplier_city`	string	City where the supplier is locatedoptional	Guangzhou
`material_type`	string	Type of raw material or subcomponent used at this stage (e.g., copper, aluminum, plastic)8 types · optional	copper
`unit`	string	Unit of measurement for the quantity (e.g., kg, units, meters)4 units · optional	kg
`transport_mode`	string	Mode of transport used between supply stages (e.g., truck, ship, rail, air)6 values · optional	rail
`origin_country`	string	Country where the supply stage originated11 countries · optional	China
`destination_country`	string	Country where the supply stage is delivered or processed10 countries · optional	Germany
`dependency_notes`	string	Notes on supplier dependencies or critical risks at this stageoptional	Port congestion delayed s…
`environmental_impact_notes`	string	Additional notes on environmental impact or sustainability concernsoptional	Mining activity increases…
Numbers 4 columns
`quantity`	float	Quantity of material/component handled at this stage (in standard units)0 or more · optional	15600.5
`distance_km`	float	Distance traveled during this supply stage in kilometers0 or more · optional	5270
`lead_time_days`	float	Lead time for this supply stage in days0 or more · optional	7
`co2e_kg`	float	Estimated CO2 equivalent emissions (in kg) for this supply stage0 or more · optional	2450.2
Dates and times 3 columns
`stage_start_date`	date	Date when this supply stage startedoptional	2023-02-01
`stage_end_date`	date	Date when this supply stage endedoptional	2023-02-08
`last_updated`	datetime	Timestamp when this record was last updated	2023-02-08T15:54:23Z
True or false 1 column
`bottleneck_flag`	boolean	Indicates if this stage is a known supply chain bottleneckoptional	false

Use it for

A logistics dashboard
The bottleneck_flag rate, quantity by supply_stage and a breakdown of material_type. Excel, Power BI or Tableau.
Why do the 24 raw_material rows have a mean quantity of 13,992?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Supply stages120
SSG-0000115600.5raw_mate…
SSG-000033800transport
SSG-000132500transport
A software demo
Believable supply stages with component_id, component_name and supply_stage to fill a screen in front of a buyer.

This dataset120 rows23 columns

Yours10,000 rows23 columnssupplier_country: UK only

blueprint · ev-charger-supply-chain-mapping

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 23 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 supply chain entry includes component type, supplier, and origin.
Installation status updated only after confirmed delivery.
Transportation method and associated emissions estimated for each leg.
Sourcing region flagged if supply risk is identified.
Component delays annotated with reason (e.g., shortage, logistics).

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: ev-charger-supply-chain-mapping

What should your data show?

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Sample rows

What the 120 rows show

Columns

Use it for

A logistics dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Logistics

What should your data show?