The Statement of Work outlines the requirements for procuring and installing a new Radial Play Measurement Machine for Large Bearings in the Corpus Christi Army Depot (CCAD) Bearing Shop. This acquisition is critical as existing machines are beyond their useful lifecycle and experiencing frequent breakdowns. The contractor must provide all necessary parts, tools, equipment, and technical data, including accessories and calibration standards. The installation must be a turn-key solution within 18 calendar months, adhering to strict environmental, safety, and IT security standards, including NEMA, OSHA, and NFPA regulations. Key equipment specifications include a bearing range of 6-23 inches OD and 5-15 inches ID, with high accuracy and repeatability. The contractor is responsible for delivery, installation, testing, training, and providing comprehensive technical manuals and a 1-year warranty. All IT systems must comply with CCAD's network, security (STIGs), and operating system requirements, with specific hardware and software specifications. The government will provide storage space and utility connection points, while the contractor is responsible for all other equipment and services.
This document is a Request for Information (RFI) from the Department of the Army, specifically the Army Contracting Command-Redstone Arsenal (ACC-RSA) at Corpus Christi Army Depot (CCAD), seeking information for a Radial Measuring Machine. It clarifies that this is solely for planning purposes and not a Request for Proposal (RFP) or a commitment to contract. The RFI requests voluntary input from companies, including their small business status, socio-economic concerns, and pricing (GSA or Open Market). Responses, due by December 10, 2025, at 11:00 AM CST, must be submitted in writing to Edward Chilson (edward.a.chilson.civ@army.mil) in MS Word or Adobe PDF format. The government will use this information for technical and acquisition planning, and respondents will not be notified of the results. Proprietary information must be clearly identified.