Awarded contract

Published

The Supply Delivery Installation and Commissioning of Collaborative Robots and Welding Simulation System

11 suppliers have saved this notice.

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

Value

142,050 GBP

Current supplier

SP Technology Ltd T/A SP Automation & Robotics

Description

The University of Strathclyde (Contracting Authority) on behalf of the National Manufacturing Institute of Scotland (NMIS) seeks a single supplier to supply, deliver, install and commission a Collaborative Robot and Welding Simulation System, to be delivered and installed at the NMIS ETX EnergyWorks facility. The Contract duration is anticipated for a period of 14 months inclusive of a 12 month warranty period and a maximum 6 to 8 week lead time. Lot 1: The Contract Notice relates to an open tender below the Agreement on Government Procurement (GPA) threshold for the supply, delivery, installation and commissioning of Collaborative Robots and Welding Simulation System. A single supplier is required to carry out all aspects of the Contract. The successful supplier shall be able to fulfil the below non-exhaustive list of requirements: 1. The Contracting Collaborative Robots and Welding Simulation System requires a Collaborative Robots and Welding Simulation System. 2. The above noted will comply with the minimum reach dimensions of at least 1700mm and maximum 2000mm. 3. The required solution shall provide at least one collaborative robot unit equipped with advanced welding simulation and programming software capabilities. 4. The required solution must provide one collaborative robot unit equipped with three interchangeable end effectors—a two‑finger gripper, a parallel gripper, and a vacuum gripper—using a mounting system that allows trained users to swap them easily, preferably all from the same manufacturer. 5. The solution must include an industrial‑grade welding table of at least 1000 mm × 1000 mm with a customizable mounting system—usable for both collaborative robot unit cells—that supports collaborative robot unit installation, allows logo‑panel customization, and provides integrated storage for collaborative robot unit accessories. 6.The collaborative robot unit in their initial form must use no more than standard 240V 13A mains power. 7. The required solution must be Collaborative Robot Units certified to meet the requirements of International Standard ISO 10218-1, accredited by an internationally accredited certification body. 8. The required solution's contact stop function shall be certified to meet the requirements of International ISO 13849-1 for Category 3, PL (Performance Level). 9. The offered Equipment shall be compliant with the Directive 2009/125/EC and the Regulation 2019/1784/EU 10. The offered solution shall be delivered to the NMIS facility within an maximum 6 to 8 week lead time. 11. The successful supplier shall include a minimum warranty period of 12 months within their offer.

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.

University of Strathclyde

126,829 GBP

Published 15 hours ago

Chesterfield Borough Council

200,000 GBP

Published 2 months ago

University of Edinburgh

267,160 GBP

Published 2 months ago

University of Edinburgh

267,160 GBP

Published 2 months ago

Nuclear Restoration Services Limited

1,243,138 GBP

Published 3 months ago

UK Atomic Energy Authority

Published 3 months ago

Sellafield Limited

184,714 GBP

Published 3 months ago

Sellafield Limited

184,741 GBP

Published 3 months ago

Explore top buyers for public sector contracts

Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.

Explore over 15,000 buyers

Sign up to the Stotles Tender Tracker for free

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