This Government Contract opportunity was posted on March 21, 2005. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Preventative Maintenance Framework & Sensor-Based Monitoring

Closed

Federal

Submission Closed04/05/2005, 05:00:00 AM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541330

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R.T. Orr Dam Geotechnical Investigations

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Upper Thames River Conservation Authority

POSTED

about 16 hours ago

DEADLINE

in 20 days

AI Contract Overview

The Preventative Maintenance Framework and Sensor-Based Monitoring subcontract focuses on the development of a comprehensive maintenance program designed to minimize system outages and prolong the operational lifespan of assets. This initiative leverages a combination of sensor data, predictive analytics, and strategically scheduled inspections to transition from reactive to proactive asset management. The project is categorized under NAICS code 541330, indicating a focus on engineering services. The solicitation was posted on March 21, 2005, with a response deadline of April 5, 2005.

General Info

Engineering subcontract for sensor-based predictive maintenance to minimize outages and prolong asset lifespan.

Agency

N/A

NAICS

541330 - Engineering Services

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of 4067.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

99--TSAT

AI Contract Breakdown

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Timeline

PhaseClosed

PostedMar 21

subcontract

Response DeadlineApr 5

Deadline has passed

Submission Closed

04/05/2005, 05:00:00 AM UTC

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Organization & Contact Information

AgencyN/A

ContactsNo contacts available

OfficeN/A

Organization / Agency

N/A

Office AddressN/A

ContactsNo contact information available

Full Description

Design of a preventative maintenance program using sensor data, predictive analytics, and scheduled inspections to reduce outages and extend asset life.