DNR 2018 or Newer UTV - Polaris XP900 EPS with tracks

The Michigan Department of Natural Resources (DNR) - Forest Resources Division is seeking to procure a specific Polaris Ranger XP 900 EPS 4-wheel drive utility terrain vehicle (UTV) with tracks for use in forest management operations. The solicitation is specifically for a 2018 or newer model in Solar Red color, targeting Ottawa County and Freeport Village jurisdictions. The detailed technical specifications require an exact configuration including electronic power steering, automatic transmission, on-demand AWD/2WD, and a 4-stroke twin-cylinder DOHC engine. Required features encompass dual A-arm suspension, digital instrumentation, DC outlets, a 2" hitch receiver, steel wheels, and various protective guards. Additional mandatory equipment includes a power assist dump box, Lock & Ride Cargo System, bed extender/divider, LED lighting, and a 4,500 lb winch with remote. The contract opportunity was posted on March 15, 2019, with proposals due by March 23, 2019, and delivery specified to the DNR Gaylord Repair Shop in Gaylord, Michigan.

The procurement has strict vendor qualifications, requiring bidders to be either the manufacturer or a licensed franchisee of the specified Polaris model. No alternate makes or models will be considered, and the successful vendor must provide a one-year written manufacturer's warranty, with transferred warranties explicitly disallowed. While no specific set-aside designations or disadvantaged enterprise requirements are mentioned, the solicitation emphasizes precise equipment specifications and direct manufacturer/franchisee involvement. All accessories must be factory-installed prior to delivery, indicating a high standard of equipment preparation. The document does not specify a precise budget range or award value, focusing instead on the exact technical and configurational requirements of the UTV. This approach suggests the procurement is more focused on meeting precise operational needs of the DNR's forest management activities rather than cost optimization.