Comparison of agent oriented software methodologies to apply in cyber physical production systems

Cruz, Stefany; Vogel‐Heuser, Birgit

doi:10.1109/indin.2017.8104748

Cited by 18 publications

(18 citation statements)

References 14 publications

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“…Meanwhile, diverse agent-based approaches intending to provide manufacturing control for CPPS, based on Agent Oriented Software Engineering (AOSE), have been presented. The most relevant point of views from the authors are listed and compared in [4], such as Gaia, MaSe, and other methodologies. Holonic Manufacturing Systems (HMS) are also considered for distributed control systems, in [25,36,44,45].…”

Section: Related Workmentioning

confidence: 99%

“…For an agent-based CPPS, aligned from [4,12,31,40], there are five key requirements: the application independence (Req1.1), meaning that a MAS and its protocols and messages should be independent of a specific application. The level independence (Req1.2) referring that all levels of automation for ISA 95 (see Section 5.6) are available depending on the scenarios in which the CPPS will be applied.…”

Section: Requirements Regarding Cpps and Rami 40mentioning

confidence: 99%

“…These actions may indirectly increase the complexity of the production process. At the same time, the Industry 4.0 (I4.0) paradigm tries to meet the emerging DIN SPEC 91345 norm [1], regarding the Reference Architectural Model I4.0 (RAMI 4.0) inside the factory and migrate from conventional automation systems to cyber-physical production systems (CPPS) [2], and their admitted standards [3,4]. The term CPPS denotes a mechatronic system coupled to smart entities that enable the smart factory and machines tools of I4.0 concept [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns

Salazar

Ryashentseva

Lüder

et al. 2019

Int J Adv Manuf Technol

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The growing complexity of production systems requires appropriate control architectures that allow flexible adaptation during their runtime. Although cyber-physical production systems (CPPS) provide the means to cope with complexity and flexibility, the migration with existing control systems is still a challenge. The term CPPS denotes a mechatronic system (physical world) coupled with software entities and digital information (cyber part), both enabling the smart factory concept for the Industry 4.0 (I4.0) paradigm. In this regard, design patterns could help developers to build their software with common solutions for manufacturing control derived from experiences. We provide a description and comparison of the already existing multi-agent systems (MAS) design patterns, which were collected and classified by introducing two classification criteria to support MAS developers. The applicability of these criteria is shown in the case of specific example architectures from the lower and higher control levels. The authors, together with experts from the German Agent Systems committee FA 5.15, gathered more than twenty MAS patterns, evaluated, and compared four selected patterns with the presented criteria and terminology. The main contribution is a CPPS architecture that fulfills requirements related to the era of smart factories, as well as the Reference Architectural Model I4.0 (RAMI 4.0). The conclusions indicate that agent-based patterns greatly benefit the CPPS design. In addition, it is shown that manufacturing based on MAS is a good way to address complex requests of the CPPS development.

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Section: Related Workmentioning

confidence: 99%

Section: Requirements Regarding Cpps and Rami 40mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns

Salazar

Ryashentseva

Lüder

et al. 2019

Int J Adv Manuf Technol

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show abstract

“…Both the question and answer are predefined in the repository and the chatbot will perform the answer lookup to locate most relevant answer. If the queries are not to be found in domain-specific (retrieval-based) repository, the conversational agent will then match the user queries to common knowledge repository to find the score as in (2) and (3). If no matching has been found, the conversation agent will then perform answer lookup via Deep learning which will be discussed in the following section.…”

Section: S Q = ∑[S Preset ]mentioning

confidence: 99%

“…Likewise, several enterprises have been seen to adopt the agent technology to boost productivity [2], [3], [4]. Furthermore, companies are starting to adopt conversational intelligence agent to innovate their existing corporate website by introducing a chat option as a means of instant communication with their clients.…”

Section: Introductionmentioning

confidence: 99%

An Embodied Conversational Agent using Retrieval-Based Model and Deep Learning

Leong*¹,

Goh²,

Kumar³

2019

IJITEE

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In accordance to the Fourth Industrial Revolution, the emergence of the digital transformation alongside with the collaboration between networked machines and human beings in decision-making has attracted much attention globally. The utilization of conversational agent to convey information on behalf of human have gained popularity and been used extensively. As a result, this research intends to examine and to innovate the current corporate website by providing the capabilities to deliver instantaneously replies and reliable information through the integration of a conversational agent via deep learning, comparable to communicating with the competent customer service consultant. This study is reliant on the Artificial Intelligence (AI) to offer natural language processing (NLP) by presenting retrieval-based model and Deep Learning to enable the conversation agent to make smarter and better decision in generating reliable and up-to-date responses. Furthermore, this research intends to automate the process of minimizing the need for human interference, specifically the botmaster to perform the knowledge maintenance manually.

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Implementing Industrial Control Automation for Holonic Manufacturing Systems Based on the Production Unit Architecture

Salazar

Alvarado

Chacón

2018

Service Orientation in Holonic and Multi-Agent Manufacturing

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Comparison of agent oriented software methodologies to apply in cyber physical production systems

Cited by 18 publications

References 14 publications

Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns

Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns

An Embodied Conversational Agent using Retrieval-Based Model and Deep Learning

Implementing Industrial Control Automation for Holonic Manufacturing Systems Based on the Production Unit Architecture

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