Towards Standardized Manufacturing as a Service through Asset Administration Shell and International Data Spaces Connectors

Inigo, Miguel A.; Legaristi, Jon; Larrinaga, Félix; Pérez, Alain; Cuenca, Javier; Kremer, Blanca; Montejo, Elena; Porto, Alain

doi:10.1109/iecon49645.2022.9968592

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Some of the extracted indicators are formulated directly, others are indirect measures, as indicated in Figure 3. The majority is included in the categories Efficiency, and Process, with indicators such as Resource Utilization [16], Responsiveness [28], and Scalability [13]. However, the most mentioned ones are Data Security [17], in the category of Data, and Cost Reduction [29], in the category of Cost, underlining the highly relevant concerns about data exchange in this kind of cloud-based services, and the importance of monitoring and reducing cost to a minimum, to always optimize revenues.…”

Section: Resultsmentioning

confidence: 99%

“…In this sense, the essential KPIs that are at the basis of the creation of a machine tending tool offered as a service are those pertaining to data management: in particular, Data Security [17] in the exchange of information and the speed of the network to send data are crucial. Responsiveness [28] of the system and User Satisfaction [30] also play a key role in the evaluation of the success of a business.…”

Section: Discussionmentioning

confidence: 99%

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A Systematic Literature Review: Key Performance Indicators on Feeding-as-a-Service

Monetti,

Bertoni,

Maffei

2024

Advances in Transdisciplinary Engineering

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In the evolving landscape of modern manufacturing, a novel concept known as Feeding-as-a-Service (FaaS) is emerging, part of the larger Automation-as-a-Service (AaaS) framework. FaaS aims to optimize feeding systems in cloud manufacturing environments to meet the demands of mass customization and allow for quick responses to production changes. Therefore, it fits into the Manufacturing-as-a-Service (MaaS) system as well. As the manufacturing industry undergoes significant transformations through automation and service-oriented models, understanding how FaaS fits into the other frameworks is essential. This study presents a systematic literature review with two primary objectives: first, to contextualize FaaS within AaaS and MaaS, highlighting similarities, differences, and distinctive characteristics; second, to identify and clarify the essential Key Performance Indicators (KPIs) crucial for its strategic implementation. KPIs are pivotal metrics guiding organizations toward manufacturing excellence. In this context, common KPIs focus on efficiency and quality, such as resource utilization, and error rates. Other KPIs are also crucial, such as the ones related to cost reduction and customer satisfaction. For FaaS, the most relevant include also data security, data management, and network speed. This research provides a valuable KPI framework for FaaS developers, aiding in strategic decision-making and deployment in industrial settings. It also contributes to a broader understanding of KPIs in manufacturing, which benefits both researchers and industrial practitioners. The results of the review, though, fail to address other crucial indicators for ‘as-a-Service’ business, such as Churn Rate and Total Contract Value. Future research will address these limitations through methods ranging from questionnaires to practitioner interviews, with the aim of gathering the knowledge needed for real-world implementations.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Systematic Literature Review: Key Performance Indicators on Feeding-as-a-Service

Monetti,

Bertoni,

Maffei

2024

Advances in Transdisciplinary Engineering

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“…In [51], the authors proposed a manufacturing-as-a-service system for the execution of remote production orders built upon the integration of AAS capabilities and IDS connectors. Unlike our solution, the approach is based on dataspace connectors that require other methods for creating IDS resources.…”

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confidence: 99%

On the Role of Digital Twins in Data Spaces

Volz,

Sutschet,

Stojanovic

et al. 2023

Sensors

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Industry 4.0 supports the vision of networked machines in decentralized production plants across the value chain. Hence, it requires highly connected partners exchanging relevant data about products, processes, and production resources. This paper proposes the usage of data spaces and digital twins to enable this Industry 4.0 vision and investigates the building blocks to realize a data space for Industry 4.0, e.g., the integration of digital twins inside the data space based upon the latest specification of the Industry 4.0 Asset Administration Shell. A prototypical implementation shows the feasibility of storing product carbon footprints inside a digital twin and sharing it over a data space with other partners.

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Prototyping the IDS Security Components in the Context of Industry 4.0 - A Textile and Clothing Industry Case Study

Torres

Chaves

Toscano

et al. 2023

Communications in Computer and Information Science

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Towards Standardized Manufacturing as a Service through Asset Administration Shell and International Data Spaces Connectors

Cited by 3 publications

References 5 publications

A Systematic Literature Review: Key Performance Indicators on Feeding-as-a-Service

A Systematic Literature Review: Key Performance Indicators on Feeding-as-a-Service

On the Role of Digital Twins in Data Spaces

Prototyping the IDS Security Components in the Context of Industry 4.0 - A Textile and Clothing Industry Case Study

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