MRG__SJC_2023_Cost_Estimating_SOW_25AUG2023.docx

RS MEANS COSTWORKS

SUPPLY CONTRACT

DOI, BOR, UCB, AAO

Foreword - The Bureau of Reclamation Albuquerque Area Office located in Albuquerque, New Mexico has determined a need to procure a 2-Node Network license of Cost Estimating software.

NAICS Code – Under this procurement is as follows:

511210 - Software publishers, packaged.

Abbreviations, Definitions, and Acronyms - The Bureau of Reclamation commonly uses the following definitions listed below:

Schedule – Offerors will be considered for award on the following Schedule A. Offeror’s unit price provided in Schedule A shall include all components, accessories, and shipping to meet delivery schedule.

SCHEDULE A – GNSS/GPS TABLET BASED DATA COLLECTOR SYSTEM

and Units Unit Prices Totals

Cost Estimating Software (2-Note Network) and Feature Data Set Requirements – The cost estimating software shall be off-the-shelf an available to the public featuring a 2-Node network license manager allowing two users at any single period use the cost estimating software and support system manager tools allowing the ability to determine USERs currently accessing and clear hang licenses. The software shall feature the following Cost Estimating data sets:

· 2023 Assemblies represents a developing budgetary cost estimates for early design stages for common construction work tasks featuring labor, equipment, and supplies/materials.

· 2023 Building Construction represents cost estimating aimed for new commercial and industrial construction projects work tasks featuring production rates, labor, equipment, supplies/materials, and Operating costs.

· 2023 Concrete & Masonry represents cost estimating for decorative CMUs, production rates, masonry materials, repairs and renovations work tasks, and feature labor, and equipment costs.

· 2023 Electrical represents cost estimating for electrical, communications, security, safety, power generation, and automation integration controls featuring production rates, labor, equipment, and material/supply costs.

· 2023 Facilities Construction represents cost estimating focus on construction and renovation work tasks for commercial, industrial, municipal, and institutional properties/facilities maintenance activities.

· 2023 Green Building represents cost estimating include both new and renovation work tasks, wide array of green building materials/supplies, high-efficiency heating/cooling equipment, photovoltaic panels, green roofing options, and high-performance glass costs.

· 2023 Heavy Construction represents cost estimating for all types of highways, bridges, marine, sanitary, sewer, and related work task featuring production rates, labor, equipment, and material/supply costs.

· 2023 Life Cycle Costing represents cost estimating prioritizes maintenance needs, budget oversight, performance lifespans, and identifies opportunities for optional cost savings.

· 2023 Light Commercial represents cost estimating

· 2023 Open Shop Building Construction represents cost estimating supporting niche construction industry for the Owner/Designer/Contractor work tasks.

· 2023 Residential represents cost estimating is aimed at single family residential construction and/or renovation work tasks featuring labor, equipment, and materials/supplies costs.

· 2023 Site Work & Landscape represents cost estimating exterior improvements, hazardous waste, ADA/ABA accessibility mandates, site demolition items, and associated work tasks featuring production rates, labor, equipment, and material/supply costs.

· 2023 Square Foot represents cost estimating is a time-saving tool set providing illustrations of residential, commercial, industrial, and institutional vertical construction and renovations work task featuring labor, equipment, and supply/material costs.

Shipping Address – Cord Everetts, Bureau of Reclamation, 555 Broadway Blvd., N.E. Suite 100, Albuquerque, New Mexico 87102-2352

Warranty – Not required.

Technical Support and Updates – Manufacturer or supplier shall provide technical support online training, and quarterly cost estimating data sets within the given year of data set.