A Military Logistics Network Planning System

This paper presents a proof of concept for a Military Logistics Network Planning System (MLNPS) to be used during mission planning to quickly identify a robust logistical footprint that can adequately sustain units deployed in an expeditionary environment. The logistical network is modeled using an efficient form of goal-seeking deterministic discrete event simulation to process supply requisitions through the logistical network. The queuing information obtained from the simulation informs capacity adjustments to the network to maximize efficiency. This process of simulation and network tuning continues interactively until an adequate and robust logistical footprint is found. During the planning stages, the MLNPS can be used to identify and mitigate logistical problems instead of waiting to react to backlogs when the military's operations would have already been affected. Designed to run as an app on the Army's enterprise resource planning (ERP) system (Global Combat Support System-Army), the MLNPS can also be used during operations to inform commanders of expected operational impacts on logistics. Contingency operation scenarios are used to demonstrate the MLNPS' capabilities.

General features of technological engineering of a gas turbine engine with function-based structure properties

General features of technological engineering of a gas turbine engine with function- based properties of structural elements that provide an increase in its resource under the conditions of uneven operational impacts are presented. A general methodology of technological engineering of a gas turbine engine with function-based properties formed on the basis of a complex multi-connected technological process has been developed. In furtherance of the general methodology of technological engineering of a gas turbine engine, an algorithm for its implementation using an iterative-recurrent approach has been developed.

Abstract 057: Beyond Convenience: Video Visits Can Increase The Efficiency Of Preventive Care Delivery

Introduction: In response to the COVID-19 pandemic, medical practices have expanded utilization of telehealth. Little is known about the operational impacts of transitioning from in-person to video visits in specialty clinics. In 2018, the Stanford South Asian Translational Heart Initiative (SSATHI), a preventive cardiology clinic focused on high-risk South Asian adults, introduced CardioClick, a program replacing in-person follow-up visits with video visits. Hypothesis: We hypothesized that implementation of video visits increased the efficiency of clinic operations. Methods: We extracted visit-level data from the EHR for 134 patients enrolled in CardioClick with video follow-up visits from June 14, 2018 to April 21, 2020 and a cohort of 276 patients enrolled in the in-person SSATHI prevention program with follow-up visits from September 11, 2014 to March 6, 2020. Results: Patients in CardioClick and the in-person cohort were similar in terms of age (mean 45 years), gender balance (23 vs 21% female), and cardiometabolic risk profiles. There were 181 video and 637 in-person follow-up visits. Video visits were shorter than in-person visits, both in terms of total clinic time [median 22 min (IQR 16, 29) vs 67 min (48, 100)] and provider time required [median 22 min (IQR 16, 29) vs 30 min (12, 58)]. Video visits were more likely to end on time (71 vs 11%, p<0.001). The median video visit ended on time while the median in-person visit ended 32 min late (13, 70) (see Figure). Providers were also more likely to complete video visit documentation the same day (56 vs 42%, p=0.001). Conclusions: In a preventive cardiology clinic, video follow-up visits required less clinic and provider time than in-person visits, were more likely to end on time, and were associated with increased same-day provider documentation completion. In conclusion, video visits offer benefits beyond their convenience and may increase the operational efficiency of specialty care practices focused on disease prevention, improving value in care delivery.

Implications of a Narrow Automated Vehicle-Exclusive Lane on Interstate 15 Express Lanes

The main objective of this study is to evaluate the safety and operational impacts of an innovative infrastructure solution for safe and efficient integration of Automated Vehicle (AV) as an emerging technology into an existing transportation system. Filling the gap in the limited research on the effect of AV technology on infrastructure standards, this study investigates implications of adding a narrow reversible AV-exclusive lane to the existing configuration of I-15 expressway in San Diego, resulting in a 9 ft AV reversible lane and, in both directions, two 12-feet lanes for HOV and FasTrak vehicles. Given the difference between the operation of AVs and human-driven vehicles and reliance of AVs on sensors as opposed to human capabilities, the question is should we provide narrower AV-exclusive roadways assuming AVs are more precise in lateral and longitudinal lane keeping behaviour? To accomplish the goal of the project, a historical crash data analysis and a traffic simulation analysis were conducted. Crash data analysis revealed that unsafe speed, improper turning, and unsafe lane change are the most recurring primary collision factors on I-15 ELs. AVs’ automated longitudinal and lateral control systems could potentially reduce these types of collisions on an AV-exclusive lane with proper infrastructure features for AV sensor operation (e.g., distinct lane marking). Microsimulation findings indicated an AV-exclusive lane may increase traffic flow and density by up to 14% and 24%, respectively. It also showed that average speed is reduced. However, this could lead to the speed differential increase between the exclusive lane and adjacent lane requiring careful consideration if additional treatments or barriers are needed. The results of this study contribute to infrastructure adaptation to AV technology and future AV-exclusive lanes implementations.