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Dive into the research topics where Brian Sauser is active.

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Featured researches published by Brian Sauser.


IEEE Systems Journal | 2008

System-of-Systems Engineering Management: A Review of Modern History and a Path Forward

Alex Gorod; Brian Sauser; John Boardman

As our knowledge of system of systems (SoS) has grown and evolved, so has our understanding of how to engineer and manage them. In systems engineering, we develop architectures and frameworks to bring meaning to this kind of uncertainty, but for SoS engineering (SoSE) we are still in search of how we can structure this understanding. In this paper, we review the SoS literature to illustrate the need to create an SoSE management framework based on the demands of constant technological progress in a complex dynamic environment. We conclude from this review that the history and evolution of defining SoS has shown that: (1) SoS can be defined by distinguishing characteristics and (2) SoS can be viewed as a network where the ldquobest practicesrdquo of network management can be applied to SoSE. We use these two theories as a foundation for our objective to create an effective SoSE management framework. To accomplish this, we utilize modified fault, configuration, accounting, performance, and security (FCAPS) network principles (SoSE management conceptual areas). Furthermore, cited distinguishing characteristics of SoS are also used to present a SoSE management framework. We conclude with a case analysis of this framework using a known and well-documented SoS (i.e., Integrated Deepwater System) to illustrate how to better understand, engineer, and manage within the domain of SoSE.


Enterprise Information Systems | 2010

A framework for investigation into extended enterprise resilience

Ozgur Erol; Brian Sauser; Mo Mansouri

This article proposes a framework for investigation into ‘extended enterprise resilience’ based on the key attributes of enterprise resilience in the context of extended enterprises. Such attributes, namely agility, flexibility, adaptability and connectivity, are frequently defined as supporting attributes of enterprise resilience, but the issue is how they can be more effectively applied to extended enterprises. The role of information technology in assisting connectivity and collaboration is frequently recognised as contributing to resilience on all levels, and will likewise be employed on the level of extended enterprise systems. The proposed framework is based on the expanded application of two primary enablers of enterprise resilience: (i) the capability of an enterprise to connect systems, people, processes and information in a way that allows enterprise to become more connected and responsive to the dynamics of its environment, stakeholders and competitors; (ii) the alignment of information technology with business goals. The former requires inter- and intra-level interoperability and integration within the extended enterprises, and the latter requires modelling of the underlying technology infrastructure and creation of a consolidated view of, and access to, all available resources in the extended enterprises that can be attained by well-defined enterprise architecture.


Engineering Management Journal | 2005

Toward a NASA-Specific Project Management Framework

Aaron J. Shenhar; Dov Dvir; Dragan Z. Milosevic; Jerry Mulenburg; Peerasit Patanakul; Richard R. Reilly; Michael Ryan; Andrew Sage; Brian Sauser; Sabin Srivannaboon; Joca Stefanovic; Hans J. Thamhain

Abstract: One of the most common myths in the discipline of project management is the assumption that all projects are the same and can be managed with the same set of processes and techniques. In reality, however, projects differ and “one size does not fit all.” Based on our previous research, we have learned that adapting the right approach to the right project is critical to project success; yet, very few organizations know how to distinguish among their project efforts. Furthermore, we have also learned that there is no universal framework that works effectively for all organizations. NASAs procedures suggest several distinctions among projects based on product lines and priority levels. These distinctions form a base for different approval processes. The next step will be to help managers actually manage different projects in different ways. The purpose of this research was to study several NASA programs and start identifying a framework that would work for project managers and teams in the NASA environment. We used four current projects as case studies to test the validity of potential frameworks, and have suggested an initial NASA-specific framework that could eventually lead to guidelines for tailoring project and program management to project type.


Information-Knowledge-Systems Management archive | 2010

Integration maturity metrics: Development of an integration readiness level

Brian Sauser; Ryan Gove; Eric Forbes; Jose Emmanuel Ramirez-Marquez

In order to optimize the process of complex system integration, it is necessary to first improve the management of the process. This can be accomplished through the use of a generally understood metric. One such metric is Technology Readiness Level (TRL), which is used to determine technology maturity, but does not address integration maturity. Integration Maturity Metric (IMM) requirements are developed through review of aerospace and defense related literature. These requirements are applied to currently existing integration maturity metrics, and the proposed Integration Readiness Level (IRL). IRL is then refined to fully meet these requirements, and applied to three aerospace case studies, along with the other identified metrics, to compare and contrast the results obtained.


International Journal of Industrial and Systems Engineering | 2008

A system maturity index for the systems engineering life cycle

Brian Sauser; Jose Emmanuel Ramirez-Marquez; Devanandham Henry; Donald DiMarzio

In the United States (USA) National Aeronautics and Space Administration (NASA) and the USA Department of Defense (DoD) the Technology Readiness Level (TRL) scale is a measure of maturity of an individual technology, with a view towards operational use in a system context. A comprehensive set of concerns becomes relevant when this metric is abstracted from an individual technology to a system context. This paper proposes the development of a system-focused approach for managing system development and making effective and efficient decisions during a systems engineering life cycle. This paper presents a System Readiness Level (SRL) index that incorporates both the current TRL scale and an Integration Readiness Level (IRL) and provides a method for determining readiness of a system in the systems engineering life cycle. This paper concludes with a general discuss of the implication of the proposed SRL and how this may be applied to four case examples.


IEEE Transactions on Engineering Management | 2009

System Development Planning via System Maturity Optimization

Jose Emmanuel Ramirez-Marquez; Brian Sauser

Many U.S. government agencies and their contractors have subscribed to using the prescriptive metric of technology readiness level (TRL) as a measure of maturity of an individual technology, with a view toward operational use in a system context. A comprehensive set of concerns becomes relevant when this metric is abstracted from an individual technology to a system context, which may involve interplay among multiple technologies that are integrated through a system development life cycle. This paper proposes a system-focused approach for managing system development and making effective and efficient decisions during this life cycle. A system readiness level (SRL) index that incorporates both the current TRL scale and the concept of an integration readiness level is presented with methods for determining current and future readiness of a system. Using techniques in evolutionary algorithms, the SRL index is optimized based on resource allocation to provide a decision support approach that enhances managerial capabilities in the systems development life cycle. The optimization model for the SRL is then executed with a case example and resource constraints of 75%, 60%, 45%, 30%, and 15% to demonstrate how it can be used to make strategic planning decisions in the systems development life cycle.


IEEE Systems Journal | 2009

System of Systems Collaborative Formation

Michael DiMario; John Boardman; Brian Sauser

The formation of a system of systems from a collection of interdependent systems does so in response to a collaborative mechanism. The nature of the constituent systems that compose the system of systems is a paradox by which they maintain an autonomous behavior and yet join the collective in collaboration. A social function can describe the system of systems mechanism that considers the value of collaborative relationships, and stresses preferences for action rather than an independent action of the individual systems. The constituent systems of the system of systems balance the risk of belonging with that of autonomy. This decision dichotomy is an example of typical decision makers that must balance cost and risk against achieving goals in a satisficing environment. A process beginning with a global goal serves to construct a multicriteria decision process creating the set of alternatives representing choices forming a collective social function that binds the system of systems. A case study demonstrates a simple application of independent autonomous systems collaborating to affect a holistic response with positive results.


Global Journal of Flexible Systems Management | 2008

Flexibility of System of Systems

Alex Gorod; S. Jimmy Gandhi; Brian Sauser; John Boardman

In order to remain competitive, organizations have to make themselves accessible to a diversity of alternatives, which could be a direct influence on their flexibility; however, flexibility introduces a new context by which these organizations manage the systems they realize. In this paper, we present a theoretical perspective on the management of flexibility of a type of system called a System of Systems (SoS). We first define flexibility as it has been described with respect to the management of a system, how this may relate to SoS and establish that there is a deficiency for understanding how the SoS should be managed near the optimization region of flexibility. We then propose a theoretical model for managing flexibility in a SoS that begins to address this optimization region of flexibility. We demonstrate our model with an empirical case study of the New York City Yellow Cab SoS and conclude with potential implications this research has on flexible systems management.


Strategic Outsourcing: An International Journal | 2012

Prioritization of outsourcing risks from a systemic perspective

Shereazad Jimmy Gandhi; Alex Gorod; Brian Sauser

Purpose – The purpose of this research is so that project managers can use a systemic approach to prioritizing the risks of outsourcing including an understanding of the external factors that could affect the prioritization.Design/methodology/approach – A survey was designed by the authors and distributed to 2,500 outsourcing professionals from different organizations and the hypotheses were tested using the data from these surveys. The logic for forming the hypothesis is discussed for each hypothesis and so are the demographics of the respondentsFindings – External factors such as the type of technology involved, type of market targeted, location of outsourcing and the amount of experience the outsourcing professional had, did affect the prioritization of the outsourcing risks. Furthermore, trends were identified among the ranking of the outsourcing risks.Research limitations/implications – One of the constraining factors of this research, as in the majority of empirical research initiatives, was the lim...


systems man and cybernetics | 2010

Systomics: Toward a Biology of System of Systems

Brian Sauser; John Boardman; Dinesh Verma

This paper will propose to do as von Bertalanffy once did, and that is to draw on the biological sciences, now hugely advanced beyond that ever imagined by von Bertalanffy and his peers, and use its findings, architectures, and emergent behaviors to argue for a biology of system of systems (SoS). We seek a science and approach that we believe will provide richer insight into SoS failure, “health” maintenance, repair, replication, growth, and mutation-all those features of the evolution of systems which constantly challenge us and which, thus far, we have only been able to explain via macrolevel models and tools. We propose to go deeper into the structure of these systems and to discover their “DNA” (building blocks), thus establishing a foundation to understand their behavior using biological analogies, which we believe will turn out to be more than metaphors. We assert that these systems have microstructures which will explain their individual life cycle and their communal ecology.

Collaboration


Dive into the Brian Sauser's collaboration.

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John Boardman

Stevens Institute of Technology

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Alex Gorod

Stevens Institute of Technology

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Mo Mansouri

Stevens Institute of Technology

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Weiping Tan

Stevens Institute of Technology

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S. Jimmy Gandhi

Stevens Institute of Technology

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W. Clifton Baldwin

Federal Aviation Administration

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David R. Nowicki

Stevens Institute of Technology

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Romulo Magnaye

Stevens Institute of Technology

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