Digital Shadows as an Enabler for the Internet of Production

Schuh, Günther; Gützlaff, Andreas; Sauermann, Frederick; Maibaum, Judith

doi:10.1007/978-3-030-57993-7_21

Cited by 10 publications

(4 citation statements)

References 34 publications

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“…The level of automation in the feedback mechanism is low in this case. In production environments, this class of regulator can be referred to as a digital shadow [48] of the customer outcome.…”

Section: Intelligence Ambition Levelsmentioning

confidence: 99%

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Towards Customer Outcome Management in Smart Manufacturing

et al. 2023

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The outcome economy is a relatively new economic and business paradigm that promotes focusing on the effects that the use of provided products and services create for customers in their markets, rather than focusing on these products or services themselves from the providers’ perspective. This paradigm has been embraced in various fields of business but has not yet been fully integrated with the concept of smart industry. To fill this gap, in this vision paper we provide a framework that does make this integration, showing the full structure of customer outcome management in smart manufacturing, from both business and digital technology perspectives. In applying this structure, a feedback loop is created that spans the markets of provider and customer and supports data-driven product evolution, manufacturing, and delivery. We propose a business reference framework that can be used as a blueprint for designing practical scenarios. We show how integrated digital support for such a scenario can be realized using a well-structured combination of technologies from the fields of the internet of things, business intelligence and federated learning, blockchain, and business process management. We illustrate all of this with a visionary case study inspired by industrial practice in the automotive domain. In doing so, we provide both an academic basis for the integration of several currently dispersed research fields that need to be integrated to further smart manufacturing towards outcome management and a practical basis for the well-structured design and implementation of customer outcome management business cases in smart manufacturing.

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Section: Intelligence Ambition Levelsmentioning

confidence: 99%

“…This provides the focal organization with input for reactively tuning its business process to optimize the outcome for its customer. This class of regulator is a basic digital twin [49] with simple analytical power but no simulation capabilities, also referred to as a digital shadow [48] with analytical power.…”

Section: Intelligence Ambition Levelsmentioning

confidence: 99%

Towards Customer Outcome Management in Smart Manufacturing

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The level of automation in the feedback mechanism is low in this case. In production environments, this class of regulator can be referred to as a digital shadow [10] of the customer outcome.…”

Section: B Regulator Embodiment Classification In Sorbetmentioning

confidence: 99%

Outcome-Based Business Design in IoT-Enabled Digital Supply Chain Transformation

Grefen

Wilbik

Kuitems³

et al. 2021

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)

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In the current economy, we see a shift of focus from delivering products or services to delivering value or outcomes to customers, reflected in the concept of the outcome economy. The concept has been embraced by research and practice but lacks proper operationalization to make it fit for the digital transformation of supply chains. In this paper, we translate the concept into a cybernetic model and accompanying technique and tool that can be used for outcome-based business engineering, leading to structures for Internet-of-Thingsenabled, data-driven value delivery in supply chains. Based on a design science research approach, we discuss the development of the Alpha version of this model and tool, the application in business practice, and the use of this experience to develop a Beta version. We provide a bridge from a leading contemporary business concept to structured application in practice, positioning Internet-of-Things and Business Intelligence technologies for data-driven business execution.

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“…In the factory itself, heterogeneous production landscapes and many different systems are mentioned as a challenge in the management of complexity [4]. Digital twins (DTs), on the other hand, offer the opportunity to combine data from different sources to deal with high complexity and thus to support the decision-making process [4,5]. Although DT have been identified in many places as a technology with enormous potential, there is no uniform understanding of the term.…”

Section: Introductionmentioning

confidence: 99%

Digital Twins in Manufacturing: A RAMI 4.0 Compliant Concept

Lindner,

Bank,

Schilp

et al. 2023

Sci

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Digital twins are among the technologies that are considered to have high potential. At the same time, there is no uniform understanding of what this technology means. Definitions are used across disciplinary boundaries, resulting in a multitude of different interpretations. The concepts behind the terms should be clearly named to transfer knowledge and bundle developments in digitalization. In particular, the Reference Architectural Model for Industry (RAMI) 4.0, as the guiding concept of digitalization, should be in harmony with the terms to be able to establish a contradiction-free relationship. This paper therefore summarizes the most important definitions and descriptions from the scientific community. By evaluating the relevant literature, a concept is derived. The concept presented in this work concretizes the requirements and understanding of digital twins in the frame of RAMI 4.0 with a focus on manufacturing. It thus contributes to the understanding of the technology. In this way, the concept is intended to contribute to the implementation of digital twins in this context.

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Digital Shadows as an Enabler for the Internet of Production

Cited by 10 publications

References 34 publications

Towards Customer Outcome Management in Smart Manufacturing

Towards Customer Outcome Management in Smart Manufacturing

Outcome-Based Business Design in IoT-Enabled Digital Supply Chain Transformation

Digital Twins in Manufacturing: A RAMI 4.0 Compliant Concept

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