Inactive Total Small Business Set-Aside (FAR 19.5)

THIS IS A COMBINED SYNOPSIS/SOLICITATION FOR COMMERCIAL ITEMS PREPARED IN ACCORDANCE WITH THE FORMAT IN FAR SUBPART 12.6-STREAMLINED PROCEDURES FOR EVALUATION AND SOLICITATION FOR COMMERCIAL ITEMS-AS ... THIS IS A COMBINED SYNOPSIS/SOLICITATION FOR COMMERCIAL ITEMS PREPARED IN ACCORDANCE WITH THE FORMAT IN FAR SUBPART 12.6-STREAMLINED PROCEDURES FOR EVALUATION AND SOLICITATION FOR COMMERCIAL ITEMS-AS SUPPLEMENTED WITH ADDITIONAL INFORMATION INCLUDED IN THIS NOTICE, THIS ANNOUNCEMENT CONSTITUTES THE ONLY SOLICITATION. OFFERS ARE BEING REQUESTED, AND A WRITTEN SOLICITATION DOCUMENT WILL NOT BE ISSUED. This is solicitation, no. W81K0221Q0157; Purchase Request; 0011639468, issued as a Request for Quotation (RFQ). The solicitation document and incorporated provisions and clauses are those in effect through Federal Acquisition Circular (FAC) 2021-06. The associated North American Industrial Classification System (NAICS) code for this procurement is 541715; Size Standard for small business is 1,000 Employees. RFQ is being issued as a Total Small Business Set-Aside. This requirement is for Madigan Army Medical Center, Tacoma WA; Department of Clinical Investigations and is a 1 year service in Novel Application of Machine Learning Technology to improve and update the process of Combat Casualty Care-Medical Logistics. LINE ITEM: 0001 Novel Machine Learning Based Approaches to Predict Supply Chain Mgt & Logistical Consultant Services , 1 Year EACH: 01 All responsible Contractors shall provide an offer for the following Brand Name or Equal: Novel Machine Learning Based Approaches to Predict Supply Chain Management. Salient Characteristics & Specifications This requirement for a Novel Machine Learning Based Approaches to Predict Supply Chain Management and Logistical Consultant Service is to carry out research activities, according to protocols laid out by the Principal Investigator, Sub-Investigator, and Scientists performing clinical research. This contract position will be supporting the Department of Clinical Investigation for a period of one year. Projected Specific Tasks / Requirements: The Contractor shall create novel application of machine learning (ML) technology to improve and update the process of combat casualty care medical logistics to forecast the critical medical resource requirements based on patterns in past data or simulations conducted for routine and novel situations: Conduct data validation and complete descriptive analysis Train, test, and validate ML models related to clustering and forecasting of medical materials Train, test, and validate an ML model to predict optimal needs of medical materiel supply bundles Test and validate ML predictive model of medical materiel needs for simulated megacity conflict (See further information provided in the Performance Work Statement – Attached) SUBMISSION and EVALUATION of FACTORS: The Government will award a contract resulting from this solicitation to the responsible offeror on the Lowest Price Technically Acceptable methodology. Submission: General: Once the Contracting Officer (KO) has decided to whom an award will be made, a signed completed contract (SF1449 form) will be sent to the company. For this requirement, a company must have an active System for Award Management (SAM) registration, DUNS, and CAGE code. A contract will be in existence once the KO has signed the contract. What to submit: Include company name, CAGE code, Vendor Point of Contact information, Technical abilities (see below), and price. Technical Factor: Describe your company’s abilities in developing applications in Machine Learning technology. Include your company’s experience and a brief overview of your company’s creation process of applications. Include description of past projects that your company has worked, challenges you have encountered and how you overcame the challenges. Also include any processes/programs that you believe makes your company better situated in tackling this project. Offeror submission must include enough information to clearly demonstrate to the KO whether or not product/ services meet the salient and technical specifications listed above. The evaluated price will be the total price of the quote, to include all fees as indicated. Technical Factors are more important than Price. Price must be determined to be fair and reasonable. Evaluation The government will initially list proposals from lowest to highest price. The government will evaluate the five lowest priced proposals first. If those proposals are determined technically unacceptable, the government will evaluate the next five lowest priced proposals and continue in that manner until a proposal is rated Technically Acceptable. USING THIS PROCEDURE, THE GOVERNMENT MIGHT NOT EVALUATE ALL PROPOSALS Price will not be rated but could become the deciding factor if more than one offer is considered acceptable in Technical capabilities. CLAUSES: The following clauses apply to this acquisition: 52.212-1 Instruction to Offeror’s - Commercial Item; 52.212-4 Contract Terms and Conditions Commercial Items; 52.212-5 Deviation Contract Terms and Conditions Required to Implement Statutes or Executive Orders Commercial Items; 52.232-33 Payment by Electronic Funds; 52.252-2 Addendum to 52.212-1. The following Addendum to FAR 52.212-4(c) will also be included in the agreement: UNILATERAL CHANGES 1. Unilateral Modifications: The Government may make unilateral modifications considered administrative in nature. The following FAR clauses apply; 52.204-24 Representation Regarding Telecommunication & Video Surveillance Services, or Equipment, 52.204-25 Prohibition on Contracting for certain Telecommunications & Video Surveillance Services & Equipment, 52.204-26 Covered Telecommunications Equipment or Services Representation, 52.204-10 Reporting Executive Compensation and First-Tier Subcontract Awards; 52-211-6 Brand name or equal; 52.219-6 Notice of Total SB Set-side; 52.219-28 Post Award SB Program Re-representation; 52.222-3 Convict Labor; 52.222-19 Child Labor Cooperation With Authorities And Remedies; 52.222-21 Prohibition of Segregated Facilities; 52-222-26, Equal Opportunity; 52.222-35 Equal Opportunity for Special Disabled Veterans; 52.222-36 Affirmative Action for Workers with Disabilities; 52.222-37 Employment Reports on Special disabled Veterans, Veterans of the Vietnam Era, and Other eligible Veterans; 52.222-50 Combat Trafficking in Persons; 52.222-54 Employment Eligibility Verification; 52.223-18 Encouraging Contractor Policies to Ban Text Messaging While Driving; 52.225-13 Restriction on Certain Foreign Purchases; 52.233-3 Protest After Award; 52.233-4 Applicable Law for Breach of Contract Claims. The following DFARS clauses apply: 252.203-7000 Requirement relating to compensation of former DoD Officials; 242.203-7002 Requirements to inform employees of whistleblower rights; 252.204-7003 Control of Government personnel work product; 252.204-7012 Safeguarding Covered Defense Information and Cyber Incident Reporting (Deviation); 252.204 7015 Disclosure of Information to Litigation support contractors; 252.204-7018 Prohibition on the Acquisition of Covered Defense Telecommunications Equipment or Services; 252.211-7003 Item Unique Identification and Valuation; 252.212-7001 Deviation, Contract Terms and Conditions Required to Implement Statutes or Executive Orders Applicable to Defense Acquisitions of Commercial Items; 252.223-7008 Prohibition of Hexavalent Chromium; 252.225-7036 Buy American-Free Trade Agreement Balance of Payment Program; 252.225-7048 Export Controlled Items,; 252.232-7003 Electronic Submission of Payment Request and Receiving Reports; 252.232-7006 Wide Area Work Flow Payment Instructions; 252.232-7010 Levies on Contract Payments, 252.247-702; Transportation of Supplies by Sea; 252.244-7000 Subcontracts for Commercial Items and Commercial Components. The full text version of FAR provisions and clauses may be accessed electronically at: FAR -- https://www.acquisition.gov/ The following documents will be included as attachments to be completed and submitted with the solicitation package. Attachment #1: Performance Work Statement (PWS) All vendors will be required to submit invoicing through the on-line website PIEE Suite; Wide Area Work Flow Suite electronic invoicing system, known as WAWF. SUBMISSION of OFFER Potential contractors must be registered in the System for Award Management (SAM) to be eligible for award. The SAM internet web site is http://www.sam.gov . **Offers are due by 16 September 2021 @ 12:00 Noon, Pacific Standard Time. Submit signed and dated offers via email to: Walter Bischoff at email: walter.j.bischoff.civ@mail.mil. **Note: RFQ Offers must contain, the Solicitation Number, Contractor’s Representative Name & signature with the date and pricing for each CLIN in order to be accepted for consideration. Contracting Office: Regional Health Contracting Office-Pacific Joint Base Lewis-McChord (JBLM), Health Contracting Cell, 673 Woodland Square Loop SE, Suite 101 Lacey WA 98503 If there are any questions, please present your questions to; Walter J. Bischoff; Only by Email prior to the closing date of this solicitation: walter.j.bischoff.civ@mail.mil

Inactive

RFQ W81K0221Q0157 SOURCES SOUGHT The Joint Base Lewis McChord Health Contracting Branch, Tacoma WA (JBLM-HCB) is conducting a Sources Sought for Market Research purposes only. There is no solicitation... RFQ W81K0221Q0157 SOURCES SOUGHT The Joint Base Lewis McChord Health Contracting Branch, Tacoma WA (JBLM-HCB) is conducting a Sources Sought for Market Research purposes only. There is no solicitation available at this time. Requests for solicitation will receive no response. The Contractor shall provide information on “Novel Application Machine Learning Technology – Improve & Update the process of Combat Casualty Care.” The proposed aims to seek to radically enhance the existing methods of Medical Material Logistics planning, establishing a Machine Learning (ML) Model at Madigan Army Medical Center (MAMC), Joint Base Lewis McChord WA in accordance with the attached Performance Work Statement (PWS). Information is being collected from all potential sources at this time. The Government will not answer any questions. Firms responding to this announcement should indicate whether they are a large business, small business, small disadvantaged business (SDB), woman-owned small business (WOSB), 8(a)-certified business, service-disabled veteran-owned small business (SDVOSB), veteran-owned small business (VOSB), or Historically Underutilized Business small business (HUBZone). The National American Industry Classification System (NAICS) code for this action is 541512; Computer System Design Services. All prospective contractors must be registered in the System for Award Management (SAM) database to be awarded a DoD contract. JBLM-HCB has not yet determined the acquisition strategy for this requirement, including whether a set-aside strategy is applicable. Note that a key factor in determining an acquisition to be a Small Business Set Aside is that small business prime contractors must perform over 50% of the effort, as defined in Federal Acquisition Regulation (FAR) clause 52.219-14. All interested parties shall submit a Capabilities Package. The Capabilities Package should be BRIEF and concise, yet clearly demonstrate an ability to meet the stated requirements. Recent, relevant experience in all areas should be provided, including whether this experience was as a prime or subprime contractor, whether it was in support of a Government or commercial contract, and what the scope of the experience was. Teaming and/or subcontracting arrangements should be clearly delineated and previous experience in teaming must be provided. Interested contractors will clearly explain how they intend to meet the stated requirements. Your statement of capabilities should include the following: Company Name; Address; Point of Contact; Telephone number; E-Mail Address; CAGE Code; Web Page URL; and Small business size certification, if applicable. Please submit one (1) electronic copy of your response to Walter.j.Bischoff.civ@mail.mil. Statements should be submitted no later than Tuesday 17 August 2021 at 12:00 (Noon) PM Pacific. The Government will not answer any questions. The Government will neither award a contract solely on the basis of this synopsis nor will it reimburse contractor for any costs associated with preparing or submitting a response to this notice. This synopsis does not constitute a Request for Quotation (RFQ), Request for Proposal (RFP) or an Invitation for Bid (IFB), nor does this issuance restrict the Government's acquisition approach. The Government reserves the right to reject in whole or part any industry input as a result of this announcement. The Government recognizes that proprietary data may be a part of this effort. If so, clearly mark such restricted or proprietary data and present it as an addendum to the non-restricted/non-proprietary information. Title: Novel Machine Learning Based Approaches to Predict Supply Chain Management and Logistical Needs Consultant Service This requirement for a Novel Machine Learning Based Approaches to Predict Supply Chain Management and Logistical Needs Consultant Service is to carry out research activities, according to protocols laid out by the Principal Investigator, Sub-Investigator, and Scientists performing clinical research. This contract position will be supporting the Department of Clinical Investigation for a period of one year. Projected Specific Tasks / Requirements: The Contractor shall create novel application of machine learning (ML) technology to improve and update the process of combat casualty care medical logistics to forecast the critical medical resource requirements based on patterns in past data or simulations conducted for routine and novel situations: Conduct data validation and complete descriptive analysis Train, test, and validate ML models related to clustering and forecasting of medical materials Train, test, and validate an ML model to predict optimal needs of medical materiel supply bundles Test and validate ML predictive model of medical materiel needs for simulated megacity conflict