Tender

Single Autonomous Robotic Case Studies

DOUNREAY SITE RESTORATION LIMITED (DSRL)

This public procurement record has 2 releases in its history.

Tender

17 Oct 2022 at 07:52

Tender

14 Oct 2022 at 17:07

Summary of the contracting process

The Dounreay Site Restoration Ltd (DSRL) is seeking consultants experienced in Artificial Intelligence (AI) for a contract to conduct Single Autonomous Robotic Case Studies at the Dounreay Site. The contract, worth an estimated £300,000 split over two financial years, aims to enhance site capabilities and readiness through robot deployments. The procurement involves a 2-stage evaluation process and the Registration and Tender Response window is open from noon on 18 October 2022 to noon on 22 November 2022. The project will commence in the last quarter of 2022 and is expected to run for 12 months.

This tender offers opportunities for businesses in research and development services, particularly those with expertise in AI and industrial robots. Small and medium-sized enterprises (SMEs) with proven capabilities in machine vision, 3D modelling, security and resilience, and related areas can compete for this contract. The procurement method follows the NEC3 Professional Services Contract with Main Option E pricing mechanism, and the delivery of the projects will involve on-site presence managed by the Consultant using SQEP personnel. The procurement is targeted at supporting the Dounreay site's digital delivery strategy and building skills capacity for robotic applications in nuclear decommissioning tasks.

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Notice Title

Single Autonomous Robotic Case Studies

Notice Description

Dounreay Site Restoration Ltd (DSRL)) is seeking to establish a Contract from interested Parties with experience in Artificial intelligence (Ai) for Single Autonomous Robotic Case Studies for the Dounreay Site. It is proposed that one Consultant shall be awarded a Contract with a duration 12 Months commencing in the last quarter of 2022. The value of the contract is estimated to be PS300K.The PS300K will be split 50 / 50 over this FY22/23 and next FY23/24. For the service being procured, the National Executive Committee, NEC3 Professional Services Contract (PSC) will apply with Main Option E being the selected pricing mechanism covering all the activities within the scope of the Service. The objective of the Single Autonomous Robotic Case Studies is to enhance the capability and readiness of the Dounreay site and staff for business-as-usual, collaborative human robot deployments and develop the skills capacity of the Dounreay workforce to realise the benefits of applying robotic augmentation and assistance on nuclear decommissioning tasks in hazardous environments. Seven trial projects case studies will be undertaken within the 12-month period to gather learning on the effectiveness of deployment. Each of these trial projects will generate learning to support the DSRL digital delivery strategy. This technical work task will be supported by the DSRL digital delivery representative. 1. Project A: Data collection and application of machine vision 2. Project B: 3D modelling 3. Project C: Dounreay "Street View" site map 4. Project D: Measuring carbon emissions on site 5. Project E: Security and Resilience - Personnel monitoring 6. Project F: Security and Resilience - Suspicious object inspection 7. Project G: Beach surveys for fragments of irradiated nuclear fuel The learning from each of the projects will be disseminated through existing forms of communication across the Operational Company's with the opportunities for direct involvement during the trials at the Dounreay site. Delivery of project including case studies, opportunistic deployment and training shall be implemented via an on-site presence and shall be fully project managed by the Consultant using SQEP personnel. DSRL will be adopting a 2-stage evaluation process via eSourcing utilising Atamis System: * Stage 1 - Demonstration of meeting several Minimum Selection Criteria * Stage 2 - Full evaluation of Tender Submission. The Registration and Tender Response window opens at noon on 18 October 2022 and will close at noon on 22 November 2022.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-3ed03fb3-dc78-4031-947d-6e1fd6d0a176
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/df1bb3d7-88c2-4350-b0c9-855f2e8b5887
Current Stage
Tender
All Stages
Tender

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Tender Suitability
SME
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services


CPV Codes

73000000 - Research and development services and related consultancy services

Notice Value(s)

Tender Value
£300,000 £100K-£500K
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
17 Oct 20223 years ago
Submission Deadline
18 Oct 2022Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
14 Dec 2022 - 14 Dec 2023 1-2 years
Recurrence
Not specified

Notice Status

Tender Status
Active
Lots Status
Not Specified
Awards Status
Not Specified
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
DOUNREAY SITE RESTORATION LIMITED (DSRL)
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
THURSO
Postcode
KW14 7TZ
Post Town
Kirkwall
Country
Scotland

Major Region (ITL 1)
TLM Scotland
Basic Region (ITL 2)
TLM2 Highlands and Islands
Small Region (ITL 3)
TLM20 Highlands and Islands
Delivery Location
TLM Scotland

Local Authority
Highland
Electoral Ward
Thurso and Northwest Caithness
Westminster Constituency
Caithness, Sutherland and Easter Ross

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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