Toggle Offcanvas
...
Global Government Tenders

Most trusted source for Tendering Opportunities and Business Intelligence since 2002

Market Study - Performing The Caterpillar Internal Combustion Engine Reviews Built In 15D/A And 16D Locomotives As Well As Universal Ucs40.00 Szynowe Train Tractors

PKP LHS SP. Z O.O. Poland has Released a tender for Market Study - Performing The Caterpillar Internal Combustion Engine Reviews Built In 15D/A And 16D Locomotives As Well As Universal Ucs40.00 Szynowe Train Tractors in Automobiles and Auto Parts. The tender was released on Jul 18, 2025.

Country - Poland

Summary - Market Study - Performing The Caterpillar Internal Combustion Engine Reviews Built In 15D/A And 16D Locomotives As Well As Universal Ucs40.00 Szynowe Train Tractors

Deadline - Jul 24, 2025

GT reference number - 113638683

Product classification - Transport equipment and auxiliary products to transportation

Organization Details:

  Address - Poland

  Contact details - 565656565

  Tender notice no. - 76454545

  GT Ref Id - 113638683

  Document Type - Tender Notices

Notice Details and Documents:

Description - Description: Market study - Performing the Caterpillar internal combustion engine reviews built in 15D/A and 16D locomotives as well as universal UCS40.00 Szynowe Train tractorsMore information is included in the attachment to the proceedings.Please submit offers via a completed and signed price form in the attachment.local title:: Badanie rynku - wykonywanie usługi przeglądów okresowych silników spalinowych Caterpillar zabudowanych w lokomotywach 15D/A i 16D oraz Uniwersalnych Ciągnikach Szynowych UCS40.00local description: : Badanie rynku - wykonywanie usługi przeglądów okresowych silników spalinowych Caterpillar zabudowanych w lokomotywach 15D/A i 16D oraz Uniwersalnych Ciągnika

Gt Ref Id - 113638683

Deadline - Jul 24, 2025

Share share

Similar Tenders :

Create Account

Why Us

3,00,000 +

Users

190 +

Countries Covered

5,00,000 +

Agencies Tracked

50,000 +

Notices Daily

90 Million +

Database