Brian Sauser

ORCID: 0000-0002-3346-7964
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About
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Research Areas
  • Systems Engineering Methodologies and Applications
  • Technology Assessment and Management
  • Complex Systems and Decision Making
  • Supply Chain Resilience and Risk Management
  • Transportation Systems and Infrastructure
  • Construction Project Management and Performance
  • Information Technology Governance and Strategy
  • Product Development and Customization
  • Innovation and Knowledge Management
  • Cognitive Science and Mapping
  • Infrastructure Resilience and Vulnerability Analysis
  • Information Systems Theories and Implementation
  • Military Strategy and Technology
  • Outsourcing and Supply Chain Management
  • Chaos, Complexity, and Education
  • Space Exploration and Technology
  • Service-Oriented Architecture and Web Services
  • Collaboration in agile enterprises
  • Quality Function Deployment in Product Design
  • Software Reliability and Analysis Research
  • Quality and Supply Management
  • Economic Development and Digital Transformation
  • Spacecraft Design and Technology
  • Software System Performance and Reliability
  • Reliability and Maintenance Optimization

University of North Texas
2014-2024

New Mexico State University
2024

Logistics Management Institute (United States)
2024

University of North Carolina Wilmington
2024

Stevens Institute of Technology
2005-2020

Texas College
2014

Naval Postgraduate School
2012

Rutgers, The State University of New Jersey
1998-1999

Rütgers (Germany)
1998

Rutgers Sexual and Reproductive Health and Rights
1998

We present distinguishing characteristics (i.e. autonomy, belonging, connectivity, diversity, and emergence), that can help us to recognize or realize a System of Systems (SoS). The principle differentiation we make between thing being either `system' SoS focuses on the nature system's composition. will distinctly define this set which include cross references from our literature research where believe others are articulating chosen differentiating characteristics. conclude by summarizing...

10.1109/sysose.2006.1652284 article EN 2006-07-21

This article proposes a framework for investigation into 'extended enterprise resilience' based on the key attributes of resilience in context extended enterprises. Such attributes, namely agility, flexibility, adaptability and connectivity, are frequently defined as supporting resilience, but issue is how they can be more effectively applied to The role information technology assisting connectivity collaboration recognised contributing all levels, will likewise employed level systems....

10.1080/17517570903474304 article EN Enterprise Information Systems 2010-04-23

In order to optimize the process of complex system integration, it is necessary first improve management process. This can be accomplished through use a generally understood metric. One such metric Technology Readiness Level (

10.3233/iks-2010-0133 article EN Information Knowledge Systems Management 2010-01-01

A fundamental challenge for system engineers is to capture a problem with an effective model or framework and then facilitate transferring the information of that captured practical systems engineering tools methods. The early definition phase requires application thinking adequate modeling Then, later architecting methods through emerging techniques such as model-based (MBSE) using SysML (MBSE practice diagrams). This paper presents method capturing systemigrams Boardman soft methodology...

10.1109/tsmc.2014.2379657 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2014-12-31

In the United States (USA) National Aeronautics and Space Administration (NASA) USA Department of Defense (DoD) Technology Readiness Level (TRL) scale is a measure maturity an individual technology, with view towards operational use in system context. A comprehensive set concerns becomes relevant when this metric abstracted from technology to This paper proposes development system-focused approach for managing making effective efficient decisions during systems engineering life cycle....

10.1504/ijise.2008.020680 article EN International Journal of Industrial and Systems Engineering 2008-01-01

Many U.S. government agencies and their contractors have subscribed to using the prescriptive metric of technology readiness level (TRL) as a measure maturity an individual technology, with view toward operational use in system context. A comprehensive set concerns becomes relevant when this is abstracted from context, which may involve interplay among multiple technologies that are integrated through development life cycle. This paper proposes system-focused approach for managing making...

10.1109/tem.2009.2013830 article EN IEEE Transactions on Engineering Management 2009-03-30

:One of the most common myths in discipline project management is assumption that all projects are same and can be managed with set processes techniques. In reality, however, differ "one size does not fit all." Based on our previous research, we have learned adapting right approach to critical success; yet, very few organizations know how distinguish among their efforts. Furthermore, also there no universal framework works effectively for organizations. NASA's procedures suggest several...

10.1080/10429247.2005.11431667 article EN Engineering Management Journal 2005-12-01

10.1007/bf03396548 article EN Global Journal of Flexible Systems Management 2008-10-01

The new paradigm, known as "resilience engineering", emphasizes the importance of measuring resilience and suggests development methodologies to analyze prepare improve enterprises. In this paper we review existing measurement methodologies, propose modes measurement. We define enterprise capacity decrease vulnerability, ability change adapt, recover quickly from disruption. Using definition, identify metrics which evaluate, more specifically: (1) an enterprise's capability its level...

10.1109/systems.2010.5482333 article EN 2010-04-01

The formation of a system systems from collection interdependent does so in response to collaborative mechanism. nature the constituent that compose is paradox by which they maintain an autonomous behavior and yet join collective collaboration. A social function can describe mechanism considers value relationships, stresses preferences for action rather than independent individual systems. balance risk belonging with autonomy. This decision dichotomy example typical makers must cost against...

10.1109/jsyst.2009.2029661 article EN IEEE Systems Journal 2009-09-01

Purpose The purpose of this research is so that project managers can use a systemic approach to prioritizing the risks outsourcing including an understanding external factors could affect prioritization. Design/methodology/approach A survey was designed by authors and distributed 2,500 professionals from different organizations hypotheses were tested using data these surveys. logic for forming hypothesis discussed each are demographics respondents Findings External such as type technology...

10.1108/17538291211221951 article EN Strategic Outsourcing An International Journal 2012-02-17

This paper presents a method of applying the International Organization for Standardization (ISO) Network Management Model to Boardman-Sauser Distinguishing Characteristics System Systems (SoS). The ISO model defines five conceptual areas managing networks: performance, configuration, accounting, fault, and security. is both standard primary means understanding major functions network management. characteristics autonomy, belonging, connectivity, diversity, emergence are used recognize SoS....

10.1109/sysose.2007.4304218 article EN 2007-04-01

This paper will propose to do as von Bertalanffy once did, and that is draw on the biological sciences, now hugely advanced beyond ever imagined by his peers, use its findings, architectures, emergent behaviors argue for a biology of system systems (SoS). We seek science approach we believe provide richer insight into SoS failure, "health" maintenance, repair, replication, growth, mutation-all those features evolution which constantly challenge us which, thus far, have only been able explain...

10.1109/tsmca.2010.2048024 article EN IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans 2010-05-27

In order to understand how we may engineer system of systems (SoS), will have rely significantly on our abilities in modeling and simulation. While there are some models non-specific SoS, few attempts been made demonstrate these with Simulations SoS usually specific cases. Likewise, the description a most approaches focused their characterization, yet this characterization has not greatly utilized as an underlying feature simulation SoS. We review different techniques use two converse...

10.1016/j.procs.2015.03.032 article EN Procedia Computer Science 2015-01-01

Supply chain management (SCM) adoption in a project-based environment brings substantial benefits but requires careful planning and execution. The current research examines number of publications that are relevant to both SCM project journals. First, we identify the key antecedents successful implementation environment. Then category these factors into four main areas, namely, IT integration, organizational coordination, risk management, supply resilience complexity. Third, explore...

10.1016/j.plas.2021.100013 article EN cc-by-nc-nd Project Leadership and Society 2021-05-15
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