Multi-stakeholder Dynamic Planning of System of Systems Development and Evolution

Fang, Zhemei; DeLaurentis, Daniel A.

doi:10.1016/j.procs.2015.03.063

Cited by 12 publications

(5 citation statements)

References 19 publications

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“…In the SoS context, Nusawardhana [31] employed ADP to a class of SoS problems that involves simultaneous design of a new system (e.g., aircraft) and allocation of the new system along with existing systems (e.g., airline fleet allocation) over a finite horizon. Fang and her coauthors [32][33][34] have also demonstrated the ability of ADP in supporting SoS evolution decision making for defense acquisition with proper assumptions. is paper continues leveraging the advantages of ADP in addressing complex multistage decision-making problems under uncertainty in the SoS context with more elements incorporated in the formulation.…”

Section: System-of-systems Evolutionmentioning

confidence: 99%

Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution

2020

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System of Systems (SoS) is designed to deliver value to participant stakeholders in a dynamic and uncertain environment where new systems are added and current systems are removed continuously and on their own volition. is requires effective evolution management at the SoS architectural level with adequate support of process, methods, and tools. is paper follows the principle of Model-Based Systems Engineering (MBSE) and develops a holistic framework integrating MBSE conceptual representations and approximate dynamic programming (ADP) to support the SoS evolution. e conceptual models provide a common architectural representation to improve communication between various decision makers while the dynamic optimization method suggests evolution planning decisions from the analytical perspective. e Department of Defense Architecture Framework (DoDAF) models using Systems Modeling Language (SysML) are used as MBSE artifacts to connect with ADP modeling elements through DoDAF metamodels to increase information traceability and reduce unnecessary information loss. Using a surface warfare SoS as an example, this paper demonstrates and explains the procedures of developing DoDAF models, mapping DoDAF models to ADP elements, formulating ADP formulation, and generating evolutionary decisions. e effectiveness of using ADP in supporting evolution to achieve a near-optimal solution that can maximize the SoS capability over time is illustrated by comparing ADP solution to other alternative solutions. e entire framework also sheds light on bridging the DoDAF-based conceptual models and other mathematical optimization methods.

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Section: System-of-systems Evolutionmentioning

confidence: 99%

Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution

2020

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“…The SoS coordination strategies cover the methods for coordinating the CSs of an SoS in order to meet SoS mission. The authors in (Fang and DeLaurentis 2015) proposed a coordination approach based on approximate dynamic programming and transfer contract mechanism to facilitate hierarchy of stakeholders to reach an agreement with conflicting interests and budget constraints. The approach tries to avoid budget violations but stakeholders might end up in a situation where budget requests violate budget constraints.…”

Section: Related Workmentioning

confidence: 99%

“…A preference input can be nonnegotiable or negotiable. A non-negotiable input cannot be negotiated during negotiation, for example a TC in a commercial domain, has an input of achieving an uninterrupted light hours in an interval (Federal Energy Regulatory Commission 2020;Damm and Vincentelli 2015;Bartocci et al 2014;Fang and DeLaurentis 2015;Fujita et al 2012;Khazaei and Nguyen 2017;Klein et al 2003;Lee 2008;Munroe and Luck 2004) during the day. A negotiable input can be negotiated during negotiation, for example output of the connected agent A 1 .…”

Section: Perceptual Levelmentioning

confidence: 99%

Agent based coordination protocol for system of cyber-physical systems

et al. 2021

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Nowadays, society and business rely heavily on Information and Communication Technology (ICT) systems, which are progressing faster than ever. To stay on pace with them, focus is shifted towards integration of individual ICT systems into complex systems, which offers more functionality than simply the sum of individual systems. In this regard, Cyber-Physical Systems (CPSs) have gained significant importance and System-of-Systems (SoS) approach has been suggested for modeling complex CPSs to achieve a higher level goal, by dynamically building a large system with existing autonomous, and heterogeneous constituent systems (CSs). An important challenge in a system of Cyber-Physical Systems (SoCPSs) is to develop seamless collaboration between autonomous constituent-CPSs (CCPSs) to coordinate their operations. In this paper, we propose an agent based coordination mechanism to coordinate resource allocation and demand in SoCPSs. The approach models each CCPS as an agent and describes how multiple autonomous CCPSs, i.e., Virtual Power Plant (VPP), Commercial Greenhouse Growers (CGGs), communicate and collaborate with each other asynchronously through negotiation and how potential conflicts between CCPSs with conflicting goals are resolved. The efficacy of the proposed mechanism is validated through simulation of different real-world acyclic SoCPSs topologies. The results show that proposed approach is able to balance the individual requirements of multiple connected CPSs while achieving SoCPSs’ mission.

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Section: Approachmentioning

confidence: 99%

“…MDP are not the only possible mechanism for modeling architecting decisions in a federation. We note, for instance, approximate dynamic programming approaches in defining transfer contracts as defined by Fang et al 31 All the aspects of the framework have been exemplified with a sixsatellite federation case study, which next section introduces.…”

Section: Dynamic Evaluation Aspectmentioning

confidence: 99%

Architecting federations of systems: A framework for capturing synergy

Lluch

Golkar

2019

Systems Engineering

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This paper defines Federations of Systems, introduces a tailored architecting framework, and demonstrates it in a satellite design case study. While certainly not being new concepts in the literature, federations are a class of Systems of Systems (SoS) that have not been extensively explored due to the scarcity of applied examples and still few practitioners facing their specific design challenges. This is expected to change with the advent of the Internet of Things, Machine to Machine applications, collaborative consumption, and Federated Satellite Systems. It has become henceforth necessary to develop approaches in design and architecting capable of addressing such interconnected sets of systems. Federations are SoS characterized by the absence of global goals and stakeholders, and cooperation enabled only on an opportunistic basis. Systems engage in federations when the perceived benefit exceeds the costs of the necessary interfaces. The proposed framework quantifies the upper limits to the net benefits of cooperation between systems through the concept of synergy. Using synergy as a heuristic to navigate federated design spaces, the framework predicts the appearance and evolution of federations. The demonstration of the framework in a six‐satellite federation shows that advantages of federating emerge with the collaboration between just two systems. Interface costs, architectural cost preferences, and network topology drive the achievable benefits. Specifically, when considering communication architectures under 80 MUSD for satellite systems, federating is advantageous when the interface lifecycle costs are below 15 MUSD. This demonstration case exemplifies how federating can assist systems in achieving design points that dominate the solutions of their local tradespace.

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Multi-stakeholder Dynamic Planning of System of Systems Development and Evolution

Cited by 12 publications

References 19 publications

Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution

Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution

Agent based coordination protocol for system of cyber-physical systems

Architecting federations of systems: A framework for capturing synergy

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