Company Introduction
Big Star is specializing in manufacturing copper tubes for various heating, refrigerating, and conditioning machines such as refrigerators, air conditioners, and freezing machines in strict accordance with quality control system. We have our outstanding workforce, advanced inspection equipment, and 25 years of accumulated experience in the non-ferrous metal processing technology as well. Big Star has improved the quality of materials for copper tubes through its continuous research and development and cooperation with leading domestic companies such as Samsung Electronics, LG Electronics, Daewoo Electronics and other overseas companies.We have enjoyed a good reputation on products' quality in domestic and overseas markets. Big Star will do its best to create values for customers based on human-respecting management and comply with requirements through continued research and development.Your continued patronage and cooperation would be very appreciated. Thank you.
Order Credit Report
Company Basic Information
- - Company Name
Big Star Electric Co., Ltd.
- - Location
Gumi-si,
- - Business Type
Manufacturer
- - Year Established
1993
- - Employees Total
51 - 100
- - Annual Revenue
USD 5,000,001 - 10,000,000
- - Website
http://www.bigstarcu.co.kr
- - EC21 Storefrontbigstat.en.ec21.com
-
- Selling Categories
Minerals & Metallurgy > Other Non-Metallic Minerals & Products
- - KeywordPipe, Capillary Tube, Level Wound Coil, Caulked, Pinch, Suction Ass'y
Contact Information
- - Address
166-8, Simi-dong, Gumi-si,, Gyeongsangbuk-do
- - Country/Region
Korea
- - Phone
82 - 54 - 4717501
- - Fax
82 - 54 - 4718070
- - Contact Kooksoo Sin
EC21 Membership Information
- - Membership Class Free Member
- - Membership Year 21 years
- - EC21 Registered Date Mar 23. 2005
- - Authentication Unverified
- - EC21 Registered IP
203.233.203.***
This is
Big Star Electric Co., Ltd.‘s IP address when
Big Star Electric Co., Ltd. joined EC21.com.
- Geolocation based on IP address:
Republic of Korea
Please use above information to identify fraud company with rough assumption. It has 99.8% accuracy on a country level.
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