Introduction
This document describes Regional Data Libraries, provides references to datasources, and explains the methodologies used in compiling that data.
aPriori Regional Data Libraries include region specific economic data for 79 regions of the world that is updated semi- annually. aPriori Regional Data Libraries can be leveraged in customer VPEs by inheriting the relevant data, ensuring that semi-annual updates are easily integrated into customer VPEs. The manufacturing data is a representation of typical manufacturing practices and costs in that region to support the generation of benchmark cost estimates.
Typical applications of benchmark estimates include:
Fact-based supplier negotiation
Benchmarking supplier quotes
Assessing cost impact of sources components or tooling to various or new regions
Developing early budgetary estimates and tracking to targets
Estimating ECOs and design alternatives
The following chart shows the currently supported regions in aPriori Regional Data Libraries:
Europe
APAC
Americas
Eastern Europe
Italy
Russia
China
Australia
Brazil
Canada
Western Europe
Netherlands
- City of Moscow
– Beijing
India
Mexico
– Atlantic (PE-NB-NL-NS)
Austria
Norway
- Tyumen
– Chengdu
Indonesia
United States
– West (BC-MB-SK)
Belgium
Poland
- Saint Petersburg
– Chongqing
Japan
– Northeast
(MA-NY-NJ-CT)
– Ontario
Czech Republic
Portugal
- Moscow region
– Dalian
Malaysia
– Northeast-Rural
(ME-NH-RI-VT)
– Quebec
Denmark
Romania
- Sverdlovsk
– Guangzhou
Philippines
– Mid-Atlantic
(DE-MD-PA-VA)
– Alberta
Finland
Slovakia
- Leningrad
– Hangzhou
Singapore
North Central
(IL-MI-MN-OH-WI)
France
Spain
- Kaluga
– Qingdao
South Korea
Central
(AR-IA-KS-MT-NE-ND-OK-SD)
Germany
Sweden
- Udmurtia
– Shanghai
Taiwan
Southeast
(AL-FL-GA-IN-KY-LA-MO-MS-NC-SC-TN-WV)
Hungary
Switzerland
- Altaiski Krai
– Suzhou
Thailand
Mountain
(AZ-CO-ID-NV-NM-UT-WY)
Ireland
Turkey
- Republic of Dagestan
– Tianjin
Vietnam
Pacific
(WA-OR-HI-AK)
Israel
United Kingdom
 
– Wuhan
 
– Texas
 
 
 
– California
Each data library is built in US Dollars (USD). All data that is gathered in foreign currencies is converted to USD based on the exchange rate at the time when the data is generated.