Accession Number:

AD1116959

Title:

Personal Protective Equipment Optimization Validation

Descriptive Note:

[Technical Report, Technical Report]

Corporate Author:

Research Facilitation Laboratory and Army Analytics Group

Personal Author(s):

• Stanek, Clay
• Werner, Thomas

Report Date:

2020-09-24

Pagination or Media Count:

40

Abstract:

The Research Facilitation Laboratory RFL Investigated the logistical benefit to the COVID-19 pandemic using a specialized optimization HW platform known as a Digital Annealer manufactured by the Fujitsu Corporation. The goal of using the DA is to show that highly computationally and combinatorically complex problems are solvable in a fraction of the time on standard CPUs and also capable of generating near-theoretically optimal solutions. This particular problem involved the logistics of transferring PPE supply to PPE demand areas that minimized the mileage traveled while also meeting the demand need as close to full as possible given supplies.

Descriptors:

• evolutionary algorithms
• neural networks
• personal protective equipment
• protective equipment
• algorithms
• computational science
• covid-19
• information science
• logistics
• standards
• mathematical models
• annealing
• data science
• health services
• optimization
• supply chain
• validation
• demography
• network science
• statistics

Subject Categories:

• Protective Equipment
• Operations Research

Distribution Statement:

[A, Approved For Public Release]