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Staffing Analyses Tool
The Staffing Analyses Tool is an interactive resource planning tool used for visualizing programmatic staffing financial information. This dashboard provides historical and current staff charging data under organizations’ and/or programs’ views. This tool is used to manage staffing cost and inform outyear planning. It was developed in collaboration with Associate Laboratory Directorate for Infrastructure and Capital Projects (ALDICP) Planning Office.
Networks consolidation program: Maintenance and Operations (M&O) staffing estimates
The Mark IV-A consolidate deep space and high elliptical Earth orbiter (HEEO) missions tracking and implements centralized control and monitoring at the deep space communications complexes (DSCC). One of the objectives of the network design is to reduce maintenance and operations (M&O) costs. To determine if the system design meets this objective an M&O staffing model for Goldstone was developed which was used to estimate the staffing levels required to support the Mark IV-A configuration. The study was performed for the Goldstone complex and the program office translated these estimates for the overseas complexes to derive the network estimates.
Staffing the ISS Control Centers: Lessons Learned from Long-Duration Human Space Flight
The International Space Station (ISS) has been in operation with a permanent human presence in space for over five years, and plans for continued operations stretch ten years into the future. Ground control and support operations are, likewise, a 15-year enterprise. This long-term, 24-hour per day, 7 day per week support has presented numerous challenges in the areas of ground crew training, initial and continued certification, and console staffing. The Mission Control Center in Houston, Texas and the Payload Operations Center in Huntsville, Alabama have both tackled these challenges, with similar, yet distinct, approaches. This paper describes the evolution of the staffing and training policies of both control centers in a chronological progression. The relative merits and shortcomings of the various policies employed are discussed and a summary of "lessons learned" is presented. Finally, recommendations are made as best practices for future long-term space missions.
Project-domain Science Traceability and Alignment Framework (P-STAF): Analysis of a Payload Architecture
Large science-focused space missions often have multiple instruments working together to address broad science goals. Systems engineers on these types of projects must work with the project scientists to evaluate trades and make decisions that result in a system that efficiently serves the mission science goals. This collaboration is more effective if the systems engineers understand both the traceability from the L1 customer requirements to the selected instruments and the contributions of each instrument in the context of the whole payload suite. These relationships might be understood implicitly by the science team on a project, but there is value in formally codifying them so this understanding can be accessed and formally analyzed by a broader systems engineering effort. We first described a framework for this communication, called the Project-domain Science Traceability and Alignment Framework (P-STAF), in the IEEE 2017 paper “A Framework for Extending the Science Traceability Matrix: Application to the Planned Europa Mission.” This paper shows how that basic framework can be leveraged to not only formally capture these relationships between the instruments and the customer needs, but also how that information can be codified in an analyzable graph that can be queried to provide a better understanding of mission risks and scope. This work was drawn from the application of P-STAF to the Europa Clipper mission, but generic example networks are used to illustrate the power of this technique.
Challenges and Opportunities in Staffing and Knowledge Transfer at Research Reactors
University research reactors have been a cornerstone of nuclear engineering research and education since the first reactor was deployed at North Carolina State University in the 1950s. The population of university reactors grew to a high of almost 80 in 1970 but has dropped to 24 operating today. The US Department of Energy – Office of Nuclear Energy supports the remaining reactors through fuel and infrastructure funding. The Nuclear Science User Facilities (NSUF) collaborated with the National Organization of Test, Research, and Training Reactors (TRTR) to study the needs of the university research reactor community. Staffing and knowledge transfer were identified as critical areas. The panel will discuss challenges and opportunities in these areas including how COVID-19 has affected their facilities.
Robotic Staffing Augmentation
The Robotic Augmentation & Novel Applications team at Los Alamos National Laboratory is working to produce autonomous systems to augment staffing for tasks that are tedious, dangerous, or require high precision. This is intended to reduce risks to staff, programs and facilities while also freeing up personnel resources to better support laboratory missions, particularly pit manufacturing. The primary focus of this effort is to utilize cutting edge automation to augment long duration radiation surveys, allowing RCTs to work on critical production activities.
Earth resources technology satellite. Volume 13 - GDHS staffing and material usage plan Final report
Ground Data Handling System staffing and material usage plan for ERTS
Staffing implications of software productivity models
The attributes of software project staffing and productivity implied by equating the effects of two popular software models in a small neighborhood of a given effort-duration point are investigated. The first model presupposes that organizational productivity decreases as a function of the project staff size due to interfacing and intercommunication. The second, the so-called software equation, relates the product size to effort and duration through a power law tradeoff formula. The conclusions that may be reached by assuming that both of these describe project behavior, the former as a global phenomenon and the latter as a localized effect in a small neighborhood of a given effort duration point, are that (1) there is a calculable maximum effective staff level, which, if exceeded, reduces the project production rate, (2) there is a calculable maximum extent to which effort and time may be traded effectively, (3) it becomes ineffective in a practical sense to expend more than an additional 25 to 50% of resources in order to reduce delivery time, and (4) the team production efficiency can be computed directly from the staff level, the slope of the intercommunication loss function, and the ratio of exponents in the software equation.
Staffing Strategies for Maintenance of Critical Software Systems at the Jet Propulsion Laboratory
The Mission Design and Navigation Software Group at the Jet Propulsion Laboratory (JPL) maintains mission critical software systems. We have good empirical data and models for maintenance demand—when defects will occur, how many and how severe they will be, and how much effort is needed to address them. However, determining the level of staffing needed to address maintenance issues is an ongoing challenge and is often done ad-hoc. There are two common strategies are (1) reactive – add/remove staff as needed to respond to maintenance issues, and (2) capacitive – retain a given staff size to address issues as they occur, proactively address issues and prevent defects.
Spot Robot Staffing Augmentation in Process Modeling and Analysis (E-2) [Slides]
In September 2021 E-2 obtained its first Spot robot from Boston Dynamics to evaluate their suitability for work in and around laboratory facilities. Spot is a highly mobile quadruped robot capable of up to 90 minutes of operation. They can be outfitted with payloads up to 30 pounds and support Boston Dynamics-developed equipment, third party payloads, or custom-developed payloads. The platform showed immediate promise resulting in the procurement of a total of four units by the end of FY22 (Trinity, Gadget, Crossroads, and Sandstone).
Organizing, staffing and initiating the program.
This paper describes and discusses those test laboratory management considerations prerequisite to test conduct and test reporting. These considerations are identified as (1) organizational requirements; they have to be determined, not only to implement a successful test program, but to match the communications needs of the other elements of the parent organization: (2) the role of supervision; decision making processes, types of decisions, and charters and role statements are presented: (3) planning; involves establishing objectives, definitions, procedures and the review and appraisal process: (4) delegation; some things cannot be delegated, others have to be.
How Many Developers? Staffing Strategies for Maintenance of Critical Software Systems at the Jet Propulsion Laboratory
No abstract available
The Effect of COVID-19 Staffing Limitations on Physical Security System Performance .
Abstract not provided.
The Effect of COVID-19 Staffing Limitations on Physical Security System Performance .
Abstract not provided.
A Hybrid Cadre Concept for International Space Station (ISS) Operations
The International Space Station (ISS) is a continuously operating on-orbit facility, with a ten to fifteen year lifetime. The staffing and rotation concepts defined and implemented for the ISS program must take into account the unique aspects associated with long duration mission operations. Innovative approaches to mission design and operations support must be developed and explored which address these unique aspects. Previous National Aeronautics and Space Administration (NASA) man-based space programs, with the exception of Skylab, dealt primarily with short duration missions with some amount of down time between missions; e.g., Shuttle, Spacelab, and Spacehab programs. The ISS Program on the other hand requires continuous support, with no down time between missions. ISS operations start with the first element launch and continue through the end of the program. It is this key difference between short and long duration missions that needs to be addressed by the participants in the ISS Program in effectively and efficiently staffing the positions responsible for mission design and operations. The primary drivers considered in the development of staffing and rotation concepts for the ISS Program are budget and responsiveness to change. However, the long duration aspects of the program necessitate that personal and social aspects also be considered when defining staffing concepts. To satisfy these needs, a Hybrid Cadre concept has been developed and implemented in the area of mission design and operations. The basic premise of the Hybrid Cadre concept is the definition of Increment-Independent and Increment-Dependent cadre personnel. This paper provides: definitions of the positions required to implement the concept, the rotation scheme that is applied to the individual positions, and a summary of the benefits and challenges associated with implementing the Hybrid Cadre concept.
A Framework for Extending the Science Traceability Matrix: Application to the Planned Europa Mission
One of the most critical functions of the systems engineering requirements process for a large multi-instrument science-driven space mission is to successfully communicate customer expectations into a comprehensive and traceable science requirements flowdown. These requirements are essential to communicating the constraints on the scope of the science investigations and clarifying how multiple instruments contribute to a given science goal. They also provide insight into how the science goals of the whole mission are affected by design choices. There is little specific guidance available on best practices for developing this science-driven flowdown. A unified Science Traceability Matrix (USTM) contains a significant amount of information that can be leveraged for that purpose, but the USTM was not designed to directly produce a complete science requirements flowdown. Thus, starting with the principles codified in a USTM, the authors propose a framework that directly maps into the requirements flowdown and supports broader systems engineering processes while retaining its meaning to the science team. This Science Traceability and Alignment Framework, or STAF, defines a set of common definitions and valid relationships to structure communication across the project. In addition, STAF populates a network of information that can be useful to support complex mission analysis activities such as fault protection. This work discusses the highest-level implementation of the STAF, the project-domain or P-STAF, which describes an approach to decomposing customer requirements into science requirements. The planned Europa Mission is used as a case study for the implementation of this framework and its potential benefits to a project.