Browse Topic: Supplier assessment
ABSTRACT Digital Engineering (DE) has been a prevalent topic across the Department of Defense (DoD) since the Office of the Deputy Assistant Secretary of Defense for Systems Engineering – now the Office of the Undersecretary of Defense for Research and Engineering [OUSD(R&E)] - re-leased the DoD Digital Engineering strategy1 in 2018. Since then, there has been a major push to incorporate DE into the DoD acquisition process and for programs to use DE, including Mod-el-Based Systems Engineering (MBSE), in system development. This paper focuses on where the DoD stands today with adoption of digital acquisition, the challenges of implementing DE on major programs, and the approach used by the Army’s Optionally Manned Fighting Vehicle (OMFV) program to define a realistic pathway to effectively implement a DE strategy from Re-quest for Proposal (RFP) to prototype acquisition. Citation: S. Scheithauer, D. Chudy, G. Byrd, B. Juelson, D. Clark, C. Arndt, “Translating the Digital Engineering Vision to Reality: A Process for Defining a Suitable Digital Engineering Scope for DoD Acquisition Programs,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Today, defense organizations in several countries are attempting to expand military capabilities by investing in hypersonic missile development. Since these missiles travel at Mach 5, or nearly 4,000 mph, there are naturally a variety of challenges for developing both the actual weapons systems and the corresponding detection systems. While challenges span nearly every aspect of developing these missiles, in this article we will focus specifically on the key challenges associated with the embedded electronics and communication systems. We will also look at how aerospace and defense engineers working on hypersonic missiles can ensure they are selecting supplier partners that are well positioned to meet these unique challenges by looking into their space heritage and history developing high-reliability radiofrequency (RF) components.
The internet of things (IoT) is no stranger to most of us at this point. IoT devices can be seen as belonging either to the consumer, medical, or industrial markets. Whether the device is a video doorbell, an insulin pump, or an industrial sensor, the user will face two significant challenges: 1) getting the device physically/logically connected to the network and 2) making sure that the device has the proper credentials to enable it to interoperate with other devices on the same network or with the server(s) that are expected to collect the device's data. These challenges can be largely grouped into a process known as provisioning.
Today, magnetic resonance imaging (MRI) technology is widely used by healthcare professionals to examine soft tissues and organs in the body. MRI is an excellent diagnostic tool because it can be used to detect a variety of potentially life-threatening issues ranging from degenerative diseases to tumors in a noninvasive manner. To understand the design challenges involved in developing MRI equipment, specifically when it comes to the selection of radio-frequency (RF) and electrical components such as capacitors, it’s first important to understand the basic physics behind the way MRI machines operate.
As technology advances in the medical device space, electronics design engineers are constantly adapting to meet industry requirements for increased functionality, reduced component size, and absolute reliability. For medical implantables, technological innovations are driven by the ability for electronic components manufacturers to superminiaturize electronic circuits and create advancements in the materials and designs available.
ABSTRACT An increasing pace of technology advancements and recent heavy investment by potential adversaries has eroded the Army’s overmatch and spurred significant changes to the modernization enterprise. Commercial ground vehicle industry solutions are not directly applicable to Army acquisitions because of volume, usage and life cycle requirement differences. In order to meet increasingly aggressive schedule goals while ensuring high quality materiel, the Army acquisition and test and evaluation communities need to retain flexibility and continue to pursue novel analytic methods. Fully utilizing test and field data and incorporating advanced techniques, such as, big data analytics and machine learning can lead to smarter, more rapid acquisition and a better overall product for the Soldier. Logistics data collections during operationally relevant events that were originally intended for the development of condition based maintenance procedures in particular have been shown to provide substantial opportunities to apply advanced data analytics. Citation: R. Heine, B. Frounfelker, L. Salins, C. Wang, “Use of Advanced Modeling and Simulation Techniques to Improve Performance and Accelerate Acquisition of Army Vehicle Systems”, In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 13-15, 2019.
ABSTRACT U.S. Government procurement spending exceeds $500B annually. A request for proposal is one of the more common forms of solicitation, and source selection (SS) is the process for evaluating proposals submitted by contractors. The U.S. Department of Defense and the Army promulgate manuals and supplements that direct the SS process within those organizations. Those publications identify “trade-offs” as a preferred method for conducting a SS, and encourage the use of this process “when it may be in the best interest of the Government to consider award to other than the lowest-price offeror.” Under this process, cost and non-cost factors are evaluated and the contract is awarded to the offeror proposing the combination of factors that represents the best value based on the evaluation criteria. This case study will describe how a trade-off, or structured decision, process was used to support a U.S. Army SS by thoroughly evaluating multiple vendors and their proposals of a major subsystem for a major defense acquisition program. The purpose of this case study is not to focus solely on how to accomplish a trade-off, or execute a SS, but rather to share lessons-learned about how to address special situations encountered during a SS trade-off. Citation: Hartman, G., “Utilizing a Structured Decision Process for U.S. Government Source Selections: Case of a Combat Vehicle Engine”, In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 13-15, 2019.
It can be challenging to make sure you've covered all the bases during the tubing and hose selection process for medical instrumentation. For each application, there are many elements to consider, including chemicals, temperatures, pressures, and flexibility needs. The tips in this article are designed to help avoid situations in which the wrong tubing or hose is integrated. The article also presents critical details that can often be overlooked.
Electronics industry trends develop and change, technologies emerge and improve, and new applications bring new requirements and challenges. While this obviously has an impact on the electronics, it also has a significant impact on connector technology needed to support it.
As already outlined in Part 1 (featured in the October issue of Tech Briefs), the main function of a connector is to enable the transfer of electrical signals.
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