An Asset Administration Shell Method for Data Exchange Between Manufacturing Software Applications

Ye, Xun; Yu, Mengmeng; Song, Won Seok; Hong, Seung Ho

doi:10.1109/access.2021.3122175

Cited by 16 publications

(7 citation statements)

References 13 publications

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“…Efforts are underway within the academic and professional communities to devise reference models to harmonize sub-models tailored to various asset aspects [62,67]. Although preliminary models have emerged within the literature, a comprehensive, standardized sub-model framework remains elusive [4,67,69,71,80,81].…”

Section: Discussion and Future Opportunitiesmentioning

confidence: 99%

“…While various communication frameworks are explored within scholarly works, many are tailored to niche applications [54,67,69,74]. To date, IEC 62541 (OPC UA) emerges as the sole technology fully compliant with I4.0 specifications, offering robust M2M and machine-to-system (M2S) communication capabilities [67,80].…”

Section: Communication Between Aas and Smart Manufacturingmentioning

confidence: 99%

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Integration of the Asset Administration Shell (AAS) for Smart Manufacturing: State-of-Art and Future Opportunities

Figueroa,

Pavon,

Calvopiña

et al. 2024

Preprint

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Industry 4.0 (I4.0) epitomizes the nexus of technological evolution and manufacturing process enhancements, underpinned by four critical pillars: Cyber-Physical Systems (CPS), Digital Twins (DT), the Industrial Internet of Things (IIoT), and Cloud Computing (CC). Through the lens of the German Reference Architectural Model Industrie (RAMI) 4.0, these components are integral to fostering Smart Manufacturing (SM) practices. In conjunction, the Asset Administration Shell (AAS) facilitates seamless inter-company communication and enables adaptability to fluctuating market demands. This paper delves into the structural intricacies of AAS and SM within the RAMI 4.0 framework, unveiling three distinct implementation strategies. Furthermore, it meticulously scrutinizes challenges that hinder the full realization of I4.0 potential, such as interoperability, security concerns, and standardized communication protocols. By examining these models and identifying current barriers, the study illuminates pathways for future research, particularly in enhancing the integration of AAS and SM systems, ensuring robust security measures, and advocating for the development of universal standards. This exploration aims to contribute to the ongoing discourse on I4.0, proposing avenues for advancing manufacturing technologies and operational frameworks in alignment with the principles of RAMI 4.0.

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Section: Discussion and Future Opportunitiesmentioning

confidence: 99%

Section: Communication Between Aas and Smart Manufacturingmentioning

confidence: 99%

Integration of the Asset Administration Shell (AAS) for Smart Manufacturing: State-of-Art and Future Opportunities

Figueroa,

Pavon,

Calvopiña

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…It "describes the technological features of an asset" and "was created to present data and information in a structured and semantically defined format, allowing for interoperability" [18] (p. 2533). Some data from corporate information systems will usually be required to provide the basis for developing the simulation, and AAS can be used to support data exchange between manufacturing software applications [19]. Effective data management underpins DT applications, so data management technologies are of particular relevance.…”

Section: Technology and Data Aspectsmentioning

confidence: 99%

Digital Twin Applications in Manufacturing Industry: A Case Study from a German Multi-National

Wynn,

Irizar

2023

Future Internet

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This article examines how digital twins have been used in a multi-national corporation, what technologies have been used, what benefits have been delivered, and the significance of people- and process-related issues in achieving successful implementation. A qualitative, inductive research method is used, based on interviews provided by key personnel involved in three digital twin projects. The article concludes that digital twin projects are likely to involve incremental rather than disruptive change, and that successful implementation is usually underpinned by ensuring technology, people, and process change factors are progressed in a balanced and integrated fashion. Building upon existing frameworks, three “properties” are identified as being of particular value in digital twin projects—workforce adaptability, technology manageability, and process agility—and a related set of steps and actions is put forward as a template and point of reference for future digital twin implementations. The combination of assessing digital properties and following a set of key actions represents a novel approach to digital twin project planning, and overall the findings are a contribution to the developing theory around digital twins and digitalization, in general, and are also of relevance to professionals embarking on DT projects.

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“…In this paper, the production time of each lot is not fixed, and is closely related to the lot and conversion rate, forming a linear mapping relationship. For example, when product 𝑖 is lot-processed at position 𝑘 of stage 𝑗 , its processing time 𝜆 𝑖𝑗 𝜃 𝑖𝑗 𝑏𝑏 𝑖𝑗𝑘 can be expressed by (5):…”

Section: ) Conversion Of Materialsmentioning

confidence: 99%

“…Under this challenging background environment, this paper starts from the internal enterprise to process the uncertain demand orders from the market, and uses the manufacturing execution system (MES) to formulate the corresponding production plan and implement scheduling for the orders [5,7]. In contrast to previous studies, the novelty and contribution of this paper are in the implementation of product lot sizing and scheduling, in addition to consideration of uncertain demand information, as well as the novel proposition of the problem of product switching in multi-variety process industries.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Tang

Wang

2022

IEEE Access

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With the gradual diversification of customer demand, to improve the rapid response ability of enterprises, this paper fully considers uncertain market information under the background of mass customization and establishes a new process industry multi-product switching production lot sizing and scheduling model with the goal of minimizing the maximum completion time and total switching cost. Fuzzy chance-constrained programming is used to explicitly incorporate market demand with uncertain quantities into the model. Starting from reality, this paper considers the switching cost of equipment when processing multiple varieties of products and skillfully integrates the conversion rate of materials during processing into the novel model, making the entire production system closer to the real state. It provides a new concept to consider cost reduction for actual workshop scheduling management. In addition, this paper proposes an improved multi-objective genetic particle swarm optimization (SMOPSO-IIs) algorithm to simulate and solve the model. The operation results show that the Pareto solution obtained by the SMOPSO-IIs algorithm is better overall. Finally, the model is solved by example simulation, and the operation results are analyzed along with a scheduling Gantt chart to verify its applicability and effectiveness. The model presented in this paper can be used to further shorten the gap between production theory and practical application and improve the current workshop scheduling management system of the process industry.INDEX TERMS Mass customization, process industry lot sizing and scheduling; uncertain market information; product switching

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An Asset Administration Shell Method for Data Exchange Between Manufacturing Software Applications

Cited by 16 publications

References 13 publications

Integration of the Asset Administration Shell (AAS) for Smart Manufacturing: State-of-Art and Future Opportunities

Integration of the Asset Administration Shell (AAS) for Smart Manufacturing: State-of-Art and Future Opportunities

Digital Twin Applications in Manufacturing Industry: A Case Study from a German Multi-National

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

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