Adds $39,658 to MarCon Builders' Community Day campus contract for fire alarm and electrical work

A change order adds $39,658 to MarCon Builders' contract for the Community Day Campus Building Modification Project, raising the cap from $287,771 to $327,429. The added work is fire alarm and electrical panel relocation and testing, covered by preliminary change orders (PCOs) 1, 7, 8 and 14. The Board also declares that public bidding would be futile for this added work, so it is not being bid separately.

Plain-English summary written by AI from the official text. AI summary · amounts checked against official text

Vendor / partner: MarCon Builders, Inc. · Oakland, CA
Action: Change order
Category: School buildings & construction
This vote: $39,658
Previous total: $287,771
New total: $327,429
Schools: Community Day School
Funding: Fund 21/measure Y
Resource / site: 9655/333
Vendor no.: 002712
Presented by: Deputy Chief, Facilities Planning and Management
File: 23-2856 · agenda U.-1
Outcome: Adopted on the General Consent Report, Feb 14, 2024

Official text

Approval by the Board of Education of Resolution No 2324-0166 - Declaring the Futility of Public Bidding for the Additional Fire Alarm and Electrical Panel Relocation and Testing Work at Community Day School and Approving A Change Order [No. 2] for That Work [By and Between the District and MarCon Builders, Inc., Oakland, CA - PCO 1;7; 8; 14, attached, for the Community Day Campus Building Modification Project, in the additional amount of $39,658.00, increasing the Agreement not to exceed amount from $287,771.00 to $327,429.00. All other terms and conditions of the Agreement remain in full force and effect.]

History

Feb 14, 2024 Adopted on the General Consent Report

This is an independent project created to provide transparency to the OUSD Community, and is not affiliated with Oakland Unified District. All data used to create the Consent Report Tracker is made public by Legistar, OUSD's official platform for posting legislative records. Plain-English summaries are written by AI with narrow parameters based upon the official text of the reports. Read about how all this works.