Awarded contract

Published

Optical Related Equipment Components and Consumables

6 suppliers have saved this notice.

Looks like a fit? Save this tender and qualify it in Stotles

Value

600,000 GBP

Current supplier

Edmund Optics Ltd

Description

Nottingham Trent University had ongoing requirements for the purchase of optical related equipment components and consumables. The requirement was split into 10 lots which are listed below. Tenderers were able to tender for individual lots, or they may tender for all lots as applicable on the framework. The items were categorised into the following list of lots; Lot 1: Optical elements Lot 2: Optomechanical devices and components Lot 3: Optical tables, breadboards, and accessories Lot 4: Manual and motorised stages, micrometres, actuators, and positioners Lot 5: Test and calibration targets, reticules, and tools Lot 6: Fibre optics, fibre test instruments, and fibre processing tools Lot 7: Instrumentation Lot 8: Light sources Lot 9: General Accessories, Equipment Components and Consumables Lot 10: Future technologies. A detailed scope of each lot was provided in the tender documentation.

Never miss a tender again

Get alerts, AI summaries and tools to qualify faster

Explore similar pre-tenders, open or awarded contracts

Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.

Centre for Process Innovation

175,813 GBP

Published 7 days ago

Scottish Government

10,454 GBP

Published 10 days ago

Animal and Plant Health Agency

41,742 GBP

Published 10 days ago

University of Bristol

203,999.05 GBP

Published 10 days ago

University of Edinburgh

190,387.82 GBP

Published 11 days ago

University of Edinburgh

190,387.82 GBP

Published 11 days ago

University of Bristol

220,000 GBP

Published 11 days ago

Centre for Process Innovation

38,000 GBP

Published 12 days ago

Ministry of Defence

7,963,989 GBP

Published 13 days ago

Sign up to the Stotles Tender Tracker for free

Find even more contracts with advanced search capability and AI powered relevance scoring.