Modeling and Simulation Methods for Design of Engineering Systems

Sinha, Rajarishi; Paredis, Christiaan J. J.; Liang, Vei-Chung; Khosla, Pradeep K.

doi:10.1115/1.1344877

Cited by 108 publications

(75 citation statements)

References 45 publications

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“…Simulation is particularly important for the design of multidisciplinary systems. In these systems the components of different disciplines are closely linked to achieve optimal system performance (Sinha et al, 2001). …”

Section: Modeling and Simulationmentioning

confidence: 99%

Systems Engineering to improve the governance in complex project environments

Locatelli

Mancini

Romano³

2014

International Journal of Project Management

135

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Projects delivered in complex environments are often late, over-budget and provide fewer benefits than what originally expected. Systems Engineering is the emerging paradigm in complex and thereby increase the chance of holistic success. Systems Engineering is a multidisciplinary approach to enable the successful delivery of systems in complex environments through a comprehensive set of approaches, techniques and tools, initially developed in the USA after the Second World War. This paper focuses on how Systems Engineering can transform the governance from "project governance" to "system governance", improving the performance of projects delivered in a complex environment. The paper presents Systems Engineering tools and techniques focusing, in particular, on the most relevant for the project management, project governance and management. At the end it provides a rich research agenda for further studies.

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Section: Modeling and Simulationmentioning

confidence: 99%

Systems Engineering to improve the governance in complex project environments

Locatelli

Mancini

Romano³

2014

International Journal of Project Management

135

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“…Systems engineering is a discipline that solves problems in various domains, at different levels, and with ever increasing complexity, and with new challenges for modelling (Sinha et al, 2001). Amongst others, Booton and Ramo (1984) argued that development of systems engineering can be thanked for the powerful tools that have been implemented.…”

Section: Tools Of Systems Engineeringmentioning

confidence: 99%

An initial categorization of foundational research in complex technical systems

Horváth

2015

J. Zhejiang Univ. Sci. A

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There has been intense foundational research in complex technical systems (CTSs) over the last half century. These systems are exemplified by advanced mechatronics systems, embedded control systems, real-time systems, agent-based smart systems, distributed software systems, internet of things systems, and cyber-physical systems. The objective of this paper is to offer an initial cataloguing of the various research domains and to identify the major research issues. The paper has an ontological flavour, because it concentrates on what research has been and is being done, rather than on why and how research is done. The underpinning study has been done in three stages: (i) intuition-driven exploration of a reference set of related academic publications, (ii) evidence-based specification of a categorization of the domains and subdomains of research, and (iii) refinement and validation of the proposed classification based on a control set of related academic publications. The proposed reasoning model identifies three categories of research domains. The 'intellectualizations' category includes research domains such as: (i) philosophy, (ii) ontology, and (iii) epistemology of CTSs. The research domains included in the 'realizations' category are: (iv) methodology, and (v) creation of CTSs. The domains considered in the 'influences' category are: (vi) manifestations, and (vii) axiology of CTSs. Based on the proposed reasoning model a landscape of foundational research in CTSs is proposed for public debate. Our follow-up study focuses on the extension of the proposed classification to other families of complex engineered systems such as sociotechnical systems and social ecosystems.

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“…The use of modeling and simulation makes design of these systems feasible and can potentially reduce the time and cost associated with the development process. As described in Reference 19 , simulation is of particular importance since it provides a means for representing the impacts of the inherent couplings in the system. Figure 6 20 , for instance, is a visualization of rotor wakes produced during a simulation (by NASA's Subsonic Rotary Wing Project) to enable more accurate prediction of vehicle performance and noise production, by capturing the interactions between the rotor blades and rotor blade vertices.…”

Section: Modeling and Simulationmentioning

confidence: 99%

“…In Reference 19 , the authors provide an overview of the state-of-the-art in modeling and simulation, with a focus on design of large-scale systems. Effective elements of a system design simulation capability include: sufficiently expressive modeling languages to model the challenging phenomena encountered in such systems; ensuring simulation models are easy to create and reuse; and a collaborative modeling capability that supports the collaborative environment in which these systems are designed and developed.…”

Section: Modeling and Simulationmentioning

confidence: 99%

The Design of Large-Scale Complex Engineered Systems: Present Challenges and Future Promise

Bloebaum

McGowan

2012

12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis And

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Large-Scale Complex Engineered Systems (LSCES) dominate the aerospace, maritime and nuclear industries. Systems such as aircraft carriers, nuclear power plants, spacecraft, and submarines represent several unique challenges for the engineering designer, as well as the systems engineer. These challenges include extraordinary costs and risks, and the inability to fully test and evaluate the complete system until it is nearly operational. These systems have become increasingly complex and sophisticated over the past fifty years, largely due to the sheer magnitude of inherent couplings that exist between disciplines, components, geographically-distributed organizations, and people. These systems are regularly prone to crippling time and cost overruns, largely due to the unintended consequences arising from unknown or unexpected interactions. The methods, processes and tools used by practitioners have not kept pace with the growing complexity of LSCES. Indeed, a complex system is now required in order to design and produce a complex system, where the elements of both draw just as heavily from social fields as they do from technical fields. This paper will explore the challenges that exist in the design of LSCES, the existing foundations from which we can draw to build a new framework for design of LSCES, and the research opportunities that will hopefully lead to new theories for the design of LSCES. This paper represents the opinions and vision of the authors, who recognize that the true challenge of advancing the design of LSCES will depend on the views and contributions of an extremely broad and diverse number of disciplines from technical and social fields.

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Modeling and Simulation Methods for Design of Engineering Systems

Cited by 108 publications

References 45 publications

Systems Engineering to improve the governance in complex project environments

Systems Engineering to improve the governance in complex project environments

An initial categorization of foundational research in complex technical systems

The Design of Large-Scale Complex Engineered Systems: Present Challenges and Future Promise

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