Roadside Brush Mulching Project, Lt. Gordon Manuel WMA

The State of Maine's Department of Administrative and Financial Services, Office of State Procurement Services, is seeking quotations for a Roadside Brush Mulching Project at the Lt. Gordon Manuel Wildlife Management Area in Androscoggin County. The project involves roadside mulching of brush and small trees across two locations: Hodgdon (17,360 linear feet, 11.2 acres) and Linneus (9,460 linear feet, 6.5 acres). Bidders must use an excavator with a hydraulically powered forestry mulching head that meets specific horsepower and hydraulic flow rate requirements. The project requires precise mulching techniques, with stems to be severed 6" to 12" above ground and mulched in place, while minimizing ground disturbance. Quotations are due on September 10, 2025, by 4:00 p.m. local time, with a pre-bid meeting scheduled for August 27, 2025, at 9:30 a.m. The state will evaluate bids on a Best Value basis, considering service qualities, specification conformity, delivery, and overall state interests. Bidders must submit a total bid price for both projects and estimated completion time through the Vendor Self Service (VSS) system.

The Request for Quotations does not specify explicit set-aside designations or restrictions for disadvantaged enterprises. Bidders are required to complete several appendices, including a Bid Cover Page, Responsible Bidder Form, and Equipment Eligibility Form, which will help the state assess contractor qualifications. While specific budget ranges are not explicitly stated, the procurement follows standard state payment terms of net 30, with flexibility to pay via check, electronic funds transfer, or procurement card. The project has a proposed start date of October 1, 2025, and requires contractors to demonstrate technical capability through detailed equipment specifications and proposed approach. Potential challenges include navigating occasional rocks and boulders that might impact precise cutting. The state reserves the right to make award decisions based on the most advantageous proposal that best meets the department's operational needs and objectives.