Modern History of System of Systems, Enterprises, and Complex Systems

Gorod, Alex; Gandhi, S. Jimmy; White, Brian E.; Ireland, Vernon; Sauser, Brian

doi:10.1201/b17139-3

Cited by 18 publications

(29 citation statements)

References 45 publications

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“…To manage the complexity of the enterprise's system in general, a SoS perspective is taken. A SoS perspective of the enterprise (Gorod et al 2014) includes all socio, economic and technical systems that are necessary to make the enterprise work (in the general sense). General Systems Theory (GST) provides a basic theory for modelling systems, and aims to support the modelling process and abstraction (von Bertalanffy 1969).…”

Section: Cyber-physical System-of-systems (Sos) Interoperabilitymentioning

confidence: 99%

Challenges for the cyber-physical manufacturing enterprises of the future

Panetto

Iung

Ivanov

et al. 2019

Annual Reviews in Control

251

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This paper summarizes a vision of the challenges facing the so-called "Industry of the Future" as studied by the research community of the IFAC Coordinating Committee 5 on Manufacturing and Logistics Systems, which includes four Technical Committees (TC). Each TC brings its own vision and puts forward trends and issues important and relevant for future research. The analysis is performed on the enterprise-level topics with an interface too other relevant systems (e.g., supply chains). The vision developed might lead to the identification of new scientific control directions such as Industry 4.0 technology-enabled new production strategies that require highly customised supply network control, the creation of resilient enterprise to cope with risks, developments in management decision-support systems for the design, and scheduling and control of resilient and digital manufacturing networks, and collaborative control. Cobots, augmented reality and adaptable workstations are a few examples of how production and logistic systems are changing supporting the operator 4.0. Sustainable manufacturing techniques, such closed-loop supply chains, is another trend in this area. Due to increasing number of elements and systems, complex and heterogeneous enterprise systems need to be considered (e.g., for decision-making). These systems are heterogeneous and build by different stakeholders. To make use of these, an environment is needed that allows the integration of the systems forming a System-of-Systems (SoS). The changing environment requires models which adapt over time. Some of the adaptation is due to learning, other mechanisms include self-organisation by intelligent agents. In general, models and systems need to be modular and support modification and (self-)adaptation. An infrastructure is needed that supports loose coupling and evolving systems of systems. The vision of the overall contribution from the research community in manufacturing and logistics systems, over the next few years is to bring together researchers and practitioners presenting and discussing topics in modern manufacturing modelling, management and control in the emerging field of Industry 4.0-based resilient and innovative production SoS and supply networks.

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Section: Cyber-physical System-of-systems (Sos) Interoperabilitymentioning

confidence: 99%

Challenges for the cyber-physical manufacturing enterprises of the future

Panetto

Iung

Ivanov

et al. 2019

Annual Reviews in Control

251

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“…Depending on the circumstances, these factors could be opportunities or threats for the project. Constraint factors are limited resources available during project implementation, such as limitations in response time, human resources, practical experience, and available skills (Gorod et al ., ).…”

Section: The Need For a Systemic Approachmentioning

confidence: 97%

“…(), and Gorod et al . (). Case study research has a long history across many disciplines investigating phenomena within their real‐life context (Eisenhardt, ; Yin, ).…”

Section: The Need For a Systemic Approachmentioning

confidence: 97%

A Systemic Approach to Complex Project Management: Integration of Command‐and‐Control and Network Governance

2018

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Projects are becoming more complex given emerging uncertainties that are arising as a result of the exponential growth in technology and the ever‐growing involvement of the human factor. Subsequently, new management approaches are needed to improve project effectiveness and efficiency. This research focuses on identifying the strengths and limitations of two major existing approaches that are fundamentally different in addressing critical issues in complex project management and proposes a new integrative framework. One existing approach, command‐and‐control management, has been proven to be very useful in managing certain types of projects; yet, it can be too rigid to adapt to changes in the environment. On the other hand, network governance, a relatively new existing approach, is flexible and adaptive but lacks conformance and can easily revert to chaos. This paper offers a novel integrative systemic approach, which makes it possible to continuously assess a complex situation and to develop more holistic solutions to project management issues. A case study presented in the paper examines the theoretical application of the new approach in the context of the emergency response and recovery efforts of the Fukushima Daiichi Nuclear Power Plant disaster in Japan. Based on the research related to this incident and the ensuing recovery efforts, it is concluded that existing approaches have not been optimally effective. The proposed approach can bring significant advantages for complex project management by providing flexibility while retaining the ability to regulate the degree of control over the system, as demonstrated through the analysis of the response and recovery of the Fukushima Daiichi case. © 2018 John Wiley & Sons, Ltd.

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“…This case study is an SoS which is defined in Ref. . It is in the same time part of the disaster response system of systems, which is a widely used example of SoS .…”

Section: Case Studymentioning

confidence: 99%

Systems of systems: From mission definition to architecture description

Cherfa

Belloir

Sadou

et al. 2019

Systems Engineering

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Systems of Systems (SoS) encompass a group of distributed and independent systems. This class of systems requires recurrent adaptation at runtime owing to the uncertainty and variability of the runtime environment. Thus, during their execution, SoS can deviate from the initial specification, which is often a consequence of successive evolutions. This problem occurs mainly due to (a) weak communication between the SoS analysis stage and architecture stage and (b) the lack of links between the operational planning in the SoS analysis stage and systems that must be involved in the SoS architecture stage. This paper proposes a model‐based process that strengthens the links between the SoS analysis stage and the architecture stage in the wave life cycle. We ensure that the mission and role concepts for the SoS definition are sufficiently abstract to allow adaptation to the variability of the environment. This definition is translated into an abstract architecture that guides the choices of the system architect during the design and evolution stages. The proposed language is an adaptation of the Systems Modeling Language (SysML). Furthermore, we define a crowd management SoS to illustrate the process.

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Modern History of System of Systems, Enterprises, and Complex Systems

Cited by 18 publications

References 45 publications

Challenges for the cyber-physical manufacturing enterprises of the future

Challenges for the cyber-physical manufacturing enterprises of the future

A Systemic Approach to Complex Project Management: Integration of Command‐and‐Control and Network Governance

Systems of systems: From mission definition to architecture description

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