HOSE ASSEMBLY, NONME

The contract solicits four nonmetallic hose assemblies identified by NSN 4720014344435 and SIKORSKY part number 70700-77669-045, under solicitation SPE4A5-26-T-175G, issued by the Defense Logistics Agency Aviation division. The requirement is for delivery FOB origin, with a lead time of 170 days from the award date, targeting shipment no later than November 15, 2026, and an original delivery requirement of July 13, 2027. All items must be packaged in accordance with ASTM D3951 and marked per MIL-STD-129, with palletization following DLA Packaging Requirements RP001. The DLA Master List of Technical and Quality Requirements governs all technical and quality specifications, superseding any conflicting standards. Supply chain traceability documentation must be retained by the contractor under DLA Procurement Note C03 (August 2016), and government identification must be removed from non-accepted supplies per RQ011. Physical marking of bare items must comply with RQ017. Inspection and acceptance occur at the destination location, and the seller may provide a Certificate of Conformance as authorized under FAR 52.246-15, unless suspended by a Quality Assurance Letter of Instruction. Sampling follows Sikorsky’s QAP 1201 Attribute Single Statistical Acceptance Sampling plan, which must meet or exceed the standards of ASQ H1331 or MIL-STD-1916. Item Unique Identification is not required as per Service customer request, and DFARS 252.211-7003(c)(1)(i) applies. Payment must be processed through WAWF, with the contractor required to be registered in SAM and comply with all electronic invoicing protocols. The contract mandates adherence to the Buy American Act and Berry Amendment, and requires compliance with cybersecurity safeguards under FAR 52.240-93 and DFARS 252.240-7997, as well as trafficking in persons, employment eligibility verification, equal opportunity, hazardous material identification, and sustainable product provisions, all updated with Deviation 2026-00038. All applicable clauses are bound by the DLA Master Solicitation for Automated