SBIR/STTR Research Award

Probabilistic Reasoning on Supply Chain Readiness of International Pharmaceuticals using Trade Information (PRESCRIPTION)

Award identifier 15b54ca6972543f6ddb2b6b597f448b7ebccadb5a0cc53153ac16cbcc38478cdAwarding agency Department of Defense · Defense Logistics Agency

Award amount

$99,980

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
Defense Logistics Agency
Recipient company
CHARLES RIVER ANALYTICS, INC.
Proposal award date
2020-11-20
Contract end date
2021-05-24
UEI
DD1BYN8SN355
Solicitation number
20.2
Topic code
DLA202-003

Research abstract

A critical function of the Defense Logistics Agency (DLA) Troop Support (TS) Customer Pharmacy Operations Center (CPOC) is to guarantee the delivery and availability of pharmaceutical drugs to Warfighters, veterans, and their families. International DoD military bases rely on the DLA for excellence in customer support as well as their ability to obtain lifesaving drugs in emergency situations, especially when these bases cannot do so themselves. However, generic pharmaceutical drugs have a supply chain that includes global trade partners, and are also vulnerable to global disruptions, such as disasters including earthquakes, pandemics, and financial crises. Although the DLA TS CPOC excels at obtaining these drugs in urgent situations, it currently has a limited window on drug shortages, and often remediates drug supply chain issues on a case-by-case basis. Increasingly, generic drugs have Active Pharmaceutical Ingredients (APIs), which are ingredients in a pharmaceutical drug or pesticide that are biologically active. These APIs are made by just a few countries and knowing their origin is a matter of national security, particularly if the country of origin has political tensions with the United States or is experiencing a national disaster, causing the supply chain to be at risk. Currently, there are limited ways to assess risks around the drug supply chain, including country of origin, quality of ingredients, and events affecting the business transactions that make the sales of these drugs possible. The DLA TS CPOC seeks to better assess and predict drug shortages and drugs that are at risk, and they need a way to both acquire and process large sets of global business transactions to anticipate and mitigate drug supply chain risks long before they occur. Charles River Analytics proposes to design and demonstrate Probabilistic Reasoning on Supply Chain Readiness of International Pharmaceuticals using Trade Information (PRESCRIPTION), a set of services for obtaining the supply chain for pharmaceutical drugs, sourcing the country of origin for a drug's ingredients and API raw source materials, and assessing risk in the supply chain based on the country of origin and high-impact events. PRESCRIPTION will: (1) synthesize global trade data with a drug's ingredients and data on its raw source materials; (2) provide a probabilistic analysis framework to predict a material's country of origin and whether its supply chain is at risk based on patterns in the data; and (3) apply revolutionary visualization techniques to analyzed data to allow pharmacists to understand the supply chain network for a drug, its raw materials, and its manufacturers and suppliers to determine country of origin, drug quality, and vulnerabilities.

Technology keywords

Not reported

Other awards by this recipient

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Awards with the same topic code

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Research funding history

961 SBIR/STTR records share this UEI (1984–2026). Reported award amounts total $386,500,110. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Homeland Security, Department of Transportation, Department of Energy

Agency intelligence

Department of Defense

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