A framework for end-to-end approach to Systems Integration

Jain, Rashmi; Chandrasekaran, Anithashree; Erol, Ozgur

doi:10.1504/ijise.2010.029763

Cited by 16 publications

(9 citation statements)

References 59 publications

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“…As Jain discusses, interface requirements can be understood in terms of Spatial, Energy, Information, and Material transfer between any two system elements. 43 Similarly, interface fitness between the system and the human can be quantified in terms of these four general categories as shown in Figure 5. Although material transfer is less common in human-machine interfaces it can occur.…”

Section: Interface Fitnessmentioning

confidence: 99%

A taxonomy of metrics for human representations in digital engineering

Miller,

Spatz

2023

Systems Engineering

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As humans play a significant role in maintaining, supporting, and operating systems, it is important to include humans in digital engineering models to ensure that the sociotechnical system is capable of meeting stakeholder requirements. The current research proposes a taxonomy of metrics and taxonomic nomenclature useful for representing humans in systems engineering and integration. This taxonomy is intended to provide a structure for considering metrics in frameworks such as the Objectives and Metrics portion of the human view architecture, as well as in trade studies which may be represented in MBSE models. The proposed taxonomy categorizes human‐centered metrics into four categories, including those affecting system performance, system readiness, interface fitness, and occupational health and safety. It is further recognized that many of these metrics can be affected by the mental or physical state of the human, which are commonly captured in human factors metrics, such as workload or situation awareness. It is proposed that this taxonomy can guide the selection of human‐centered metrics which affect the system's ability to meet system stakeholder requirements.

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Section: Interface Fitnessmentioning

confidence: 99%

A taxonomy of metrics for human representations in digital engineering

Miller,

Spatz

2023

Systems Engineering

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“…Thus, it becomes important to model the environment to understand the entity's interface with the environment. Specifically, the interface between these components require understanding of the spatial configuration, energy, information, and material transfer between the environment and the system (Jain et al 2010). However, from an architectural standpoint, the environmental model does not necessarily need to be part of the digital twin.…”

Section: Structural Definition Of a Human Digital Twinmentioning

confidence: 99%

A unified view of a human digital twin

Miller

Spatz

2022

Hum.-Intell. Syst. Integr.

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The term human digital twin has recently been applied in many domains, including medical and manufacturing. This term extends the digital twin concept, which has been illustrated to provide enhanced system performance as it combines system models and analyses with real-time measurements for an individual system to improve system maintenance. Human digital twins have the potential to change the practice of human system integration as these systems employ real-time sensing and feedback to tightly couple measurements of human performance, behavior, and environmental influences throughout a product’s life cycle to human models to improve system design and performance. However, as this concept is relatively new, the literature lacks inclusive and precise definitions of this concept. The current research reviews the literature on human digital twins to provide a generalized structure of these systems, provide definitions of a human digital twin and human digital twin system, and review the potential applications of these systems within product design, development, and sustainment. This review of the existing literature suggests that components of human models sufficient to provide robust human digital twins are likely to be derived across multiple fields of study. Thus, development of these systems would benefit an open multi-disciplinary research effort.

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“…Systems need to adapt to the rapid change driven by the global dynamic marketplace, technological evolution and variety of environments (Feiler and Dart, 1990;Fricke and Schulz, 2005) . Traceability of changes is critical in controlling and managing their impact on the SE life cycle (Jain et al, 2008(Jain et al, , 2009. Two such common ways of establishing traceability are maintaining functional and physical relationships and tracking attributes of configuration items (Mette and Hass, 2003).…”

Section: Configuration Managementmentioning

confidence: 99%

Feasibility of a rapid systems engineering framework: an exploratory study

Jain

Chandrasekaran

Castro

et al. 2011

IJISE

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Systems Engineering (SE) has been traditionally viewed as an extremely rigorous approach for having resource intensive processes often perceived to involve bureaucratic decision making; therefore, deemed to be affordable only by large companies and government institutions. However, in recent years, the commercial industry is trying to leverage the benefits of SE by selecting the relevant aspects that apply to them and customising SE to a leaner and compressed version. This paper explores the suitability and the feasibility of rapid approaches and techniques to the existing SE processes. More specifically, this paper describes 22 techniques of rapid systems engineering (RSE) during the design and implementation processes, relevant to those processes and lessons learned. These techniques are applied to the 14 SE processes as illustrated by the SE standard-ISO 15288. An exploratory survey was developed by the authors based on the SE process activities as per ISO 15288 to evaluate application utilising a rapid approach in current projects from various industries. This paper provides conclusions to applying rapid techniques to the SE processes based on existing literature and the experiences of the projects surveyed. It concludes with a discussion of potential research projects for the evaluation of RSE.

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A framework for end-to-end approach to Systems Integration

Cited by 16 publications

References 59 publications

A taxonomy of metrics for human representations in digital engineering

A taxonomy of metrics for human representations in digital engineering

A unified view of a human digital twin

Feasibility of a rapid systems engineering framework: an exploratory study

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