MBA: A system of systems architecture model for supporting collaborative work

Wanderley, Gregory Moro Puppi; Abel, Marie‐Hélène; Paraíso, Emerson Cabrera; Barthès, Jean-Paul

doi:10.1016/j.compind.2018.04.011

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…• "Derive Proxy Agent Ontology" to derive an ontology from the global SoS ontology for each proxy agent. The goal of the proxy agent ontologies is to handle the semantics of the work order, i.e., the MBA protocol (detailed in Wanderley et al [6]), and also to decode interactions in natural language when optional user interfaces (see Section III-A) are used. The proxy agent ontologies focus on the idiosyncrasies of the systems they interface.…”

Section: B the Gambad Methodsmentioning

confidence: 99%

“…After being interfaced through a proxy agent, the system will be augmented by a communication protocol, ontologies, and optional interfaces. The communication protocol of the MBA framework, called Work Order (details in Wanderley et al [6]), provides syntactic and semantic interoperability between constituent systems of an MBA SoS. Ontologies play a crucial role, modeling the SoS domain and the users of constituent systems, handling the semantics of the communication protocol, and decoding interactions in natural language.…”

Section: A the Mba Frameworkmentioning

confidence: 99%

“…In this research, we aim at facilitating the development of SoS. Recently, we developed the MBA framework (Wanderley et al [5]) that is based on a Memory-Broker-Agent architecture (Wanderley et al [6]) to simplify the process of building Systems of Systems in practice. Our MBA framework builds SoS on the top of a multi-agent layer supported by ontologies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

GAMBAD: A Method for Developing Systems of Systems

Wanderley¹,

Abel²,

Paraíso³

et al. 2018

2018 IEEE 30th International Conference on Tools With Artificial Intelligence (ICTAI)

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Despite the great number of Systems of Systems (SoS) being developed, building them still remains hard and difficult. Currently, there is a lack of methods capable of supporting architects for building an actual SoS. In this paper we introduce an original method called GAMBAD for developing an SoS from a practical point of view. Our method guides the development of SoS on top of a multi-agent layer supported by ontologies. We tested GAMBAD by building an SoS in the domain of Health Care. Early results show that by using our method, architects can develop an SoS faster and more accurately.

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Section: B the Gambad Methodsmentioning

confidence: 99%

Section: A the Mba Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

GAMBAD: A Method for Developing Systems of Systems

Wanderley¹,

Abel²,

Paraíso³

et al. 2018

2018 IEEE 30th International Conference on Tools With Artificial Intelligence (ICTAI)

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“…Within the game order (1), manufacturers employ demand information sharing to understand the seller's prediction of market demand before setting the selling price in electronic direct selling channel [35]. z refers to the manufacturer's bargaining power, with a value ranged between 0 and 1.…”

Section: Decision-making Model Of Dual-channel Supply Chainmentioning

confidence: 99%

Optimized Demand Information Sharing Model of Dual-Channel Supply Chain in E-Commerce

Song

Zhou

et al. 2022

Mathematical Problems in Engineering

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In the dual-channel supply chain, the relationship between the electronic direct selling channel and the traditional selling channel is situated in an antagonistic game. The present study used the master-slave game model to analyze the dual-channel supply chain structure, where the manufacturer is the leader of the game, and the seller is the follower of the game. Based on the game analysis theory, the game order of manufacturer and seller is analyzed in the state of demand information sharing. The decision model of each member in the dual-channel supply chain is constructed, and the optimal production decision and product price decision under the demand information sharing between the seller and the manufacturer are determined by the reverse induction method. The expected economic benefits of both are calculated, respectively. The experimental results showed that the economic benefit of the model is higher than that of the traditional demand information nonsharing model, which could enhance the economic benefit of the manufacturer and the seller at the same time and alleviate the contradiction between the electronic direct selling channel and the traditional selling channel.

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A Semantic Interface Model to Support the Integration of Drones in a Cyber-Physical Factory

.S.A

Belkadi

Cunha

et al. 2023

Proceedings of the I-Esa Conferences

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Industries rely on digital transformation and emergent technologies in order to reach processes efficiency and flexibility. Cyber-physical systems are currently proposed as an answer to this fourth industrial revolution. In this context, the use of drones can offer new opportunities in manufacturing shop floors. However, the adoption of such technologies requires the development of integrated interfaces to solve interoperability issues between the different components of the global production system. This paper addresses the problem of interfacing through a conceptual interface model representing the exchanged data flows between drones and a given production system. It is instantiated on a real experimental 4.0 platform combing production modules and drones. This model aims to support communication between the related logical and software components. This work is a required step in order to later address the interoperability issues.

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MBA: A system of systems architecture model for supporting collaborative work

Cited by 6 publications

References 20 publications

GAMBAD: A Method for Developing Systems of Systems

GAMBAD: A Method for Developing Systems of Systems

Optimized Demand Information Sharing Model of Dual-Channel Supply Chain in E-Commerce

A Semantic Interface Model to Support the Integration of Drones in a Cyber-Physical Factory

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