Notice Information
Notice Title
Industrial Reliability and Performance Improvement - Predictive Maintenance Application
Notice Description
There is a requirement for Sellafield ( to approach operations and maintenance with a manufacturing mindset where asset and process underperformance issues (which cause process bottlenecks) are identified prioritised based on value and solutions (both technology and operational) developed and implemented at pace All of the above steps require an ability to support each other with the core focus being to improve performance and reliability. Across the site, there are several examples of equipment underperformance including reduced throughput, high levels of planned and unplanned maintenance, unstable operations, equipment availability. Current methods of asset maintenance are either planned (based on elapsed time from installation) unplanned (reactive) These methods are as opposed to the approach of maintenance which is informed by actual asset use or its condition. As a result, the root causes of asset underperformance are not being fully identified and addressed and can cause repeat events. In response to this the Enterprise Asset Management (EAM) programme at SL has identified a need to develop predictive asset management problem solving capabilities that are underpinned by data and the application of data science methods to inform decisions. This capability has been broadly termed Industrial Reliability and Performance Improvement (IRPI). IRPI is at a relatively early stage of capability development currently defining its scope of work. As maintenance is either planned or unplanned currently, there is no strategy to change to a predictive maintenance regime within the current constraints and processes.
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-b5fd17-4a668a6d-b97e-4cc9-88cd-ecc03d34fa7b
- Publication Source
- Contracts Finder
- Latest Notice
- https://www.contractsfinder.service.gov.uk/Notice/815f8e4c-57ac-4872-bc82-efc6b475ac28
- Current Stage
- Award
- All Stages
- Award
Procurement Classification
- Notice Type
- Award Notice
- Procurement Type
- Standard
- Procurement Category
- Services
- Procurement Method
- Not Specified
- Procurement Method Details
- Other -
- Tender Suitability
- SME
- Awardee Scale
- Large
Common Procurement Vocabulary (CPV)
- CPV Divisions
79 - Business services: law, marketing, consulting, recruitment, printing and security
-
- CPV Codes
79313000 - Performance review services
Notice Value(s)
- Tender Value
- £97,200 Under £100K
- Lots Value
- Not specified
- Awards Value
- £97,200 Under £100K
- Contracts Value
- Not specified
Notice Dates
- Publication Date
- 28 Apr 20232 years ago
- Submission Deadline
- 2 Dec 2022Expired
- Future Notice Date
- Not specified
- Award Date
- 13 Dec 20223 years ago
- Contract Period
- 17 Feb 2023 - 31 May 2023 1-6 months
- Recurrence
- Not specified
Notice Status
- Tender Status
- Complete
- Lots Status
- Not Specified
- Awards Status
- Active
- Contracts Status
- Not Specified
Buyer & Supplier
Contracting Authority (Buyer)
- Main Buyer
- CTM PORTAL FOR THE NDA SHARED SERVICES ALLIANCE
- Contact Name
- Martin Ellicott
- Contact Email
- martin.x.ellicott@sellafieldsites.com
- Contact Phone
- +44 7855149009
Buyer Location
- Locality
- SEASCALE
- Postcode
- CA20 1PG
- Post Town
- Carlisle
- Country
- England
-
- Major Region (ITL 1)
- TLD North West (England)
- Basic Region (ITL 2)
- TLD1 Cumbria
- Small Region (ITL 3)
- TLD13 Cumberland
- Delivery Location
- TLD North West (England)
-
- Local Authority
- Cumberland
- Electoral Ward
- Gosforth
- Westminster Constituency
- Whitehaven and Workington
Further Information
Notice Documents
-
https://www.contractsfinder.service.gov.uk/Notice/815f8e4c-57ac-4872-bc82-efc6b475ac28
28th April 2023 - Awarded contract notice on Contracts Finder
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
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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