A Life Cycle Oriented Data-Driven Architecture for an Advanced Circular Economy

Kintscher, Lars; Lawrenz, Sebastian; Poschmann, Hendrik

doi:10.1016/j.procir.2021.01.110

Cited by 17 publications

(17 citation statements)

References 9 publications

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“…Monitoring gives real‐time updates on processes and environments in a specific location. IoT collects continuous data about the changes in the state of processes, conditions or materials, such as temperature and moisture, production and machine conditions, product usage performance by the customer, and waste bin conditions (Kintscher et al, 2021; Nižetić et al, 2019; Rossi et al, 2020; Yang, Raghavendra M. R., et al, 2018). The constant status update allows fast decision‐making in response to changes, increasing the operational flexibility and stabilizing the process.…”

Section: Discussionmentioning

confidence: 99%

“…As for companies, they can increase recycling rates by developing innovative services and offerings to customers (Kristoffersen et al, 2020). They can also help customers reduce careless behaviour in product use by monitoring of product conditions and customer activities (Kintscher et al, 2021; Rossi et al, 2020).…”

Section: The Framework Of Digital Functions For Circular Economymentioning

confidence: 99%

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A framework of digital technologies for the circular economy: Digital functions and mechanisms

et al. 2022

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Digital technology is regarded as providing a promising means of moving production and consumption towards the circular economy. However, it is still unclear which functions of digital technologies are most useful to improving circularity, and how these functions could be used to enhance different circular economy strategies. This paper aims to address this knowledge gap by conducting a systematic literature review. After examining 174 papers, creating 782 original codes and 259 secondround codes, the study identifies 13 critical functions of digital technologies which are most relevant to circular economy strategies. The paper then proposes a framework which reveals seven mechanisms of how these digital functions can enhance different circular economy strategies. The framework also reveals which combinations of the digital functions and circular economy strategies have already been studied extensively as well as where there may be gaps. This indicates which digital functions are more mature in terms of possible implementation for circular economy as well as what missing links there are in the empirical and theoretical research. The study advances the synergies between digital technologies and the circular economy paradigm through the lens of digital functions. The proposed framework and mechanisms build a theoretical foundation for future research, and we highlight five research areas for further studies. This study also provides a structured way for managers to explore the appropriate digital functions for their CE strategies, so as to identify required digital technologies and new value creation through digital functions.

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Section: Discussionmentioning

confidence: 99%

Section: The Framework Of Digital Functions For Circular Economymentioning

confidence: 99%

A framework of digital technologies for the circular economy: Digital functions and mechanisms

et al. 2022

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“…Furthermore, non-human stakeholders, such as autonomous systems, were not considered as possible data providers or consumers. Nevertheless, non-human actors (autonomous systems), such as machines or robots, are essential stakeholders for data ecosystems, such as a circular economy ecosystem [5]. While technically providing data transfer for a non-human actor is already easily viable via REST interfaces, the question of how a non-human actor can describe his requirements for a data set has yet to be answered.…”

Section: Problem Statementmentioning

confidence: 99%

“…During its process lifecycle, the robot system needs different kinds of data: For example, different training datasets for the AI-based functions and data about the current product, like the state of health. In this Recycling 4.0 framework, a data marketplace was already presented, as an option to gather data, via REST [14]. Accordingly, in the current implementation, the robot system can buy and download data via the marketplace.…”

Section: Autonomous Systemsmentioning

confidence: 99%

Data Trading Similarity Signature An Extended Data Trading Framework for Human and Non-Human Actors

Lawrenz¹,

Poschmann²,

Rausch³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Fair and secure data trading is one of the most prominent challenges of the 21st century. This paper presents a second iteration of an approach to develop a data marketplace concept by checking consumer requirements. The main problem we identified is data quality and the question: Would a dataset fulfill the consumer requirements? Starting from an approach that uses a binary response set to answer the question of whether requirements are met, we concluded that a description of consumer requirements needs to be quantitatively comparable. The novel approach presented here identifies similarities between datasets and consumer requirements. It forms a unique, fingerprint-like similarity signature for each dataset, which can be interpreted by both human and non-human actors. The approach is deducted and designed by using the Design Science Research Methodology and discussed critically in the end.

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“…Another GWP-reducing action is the expansion of the circular economy, as this saves energy, as well as material resources. This is supported by rising digitalization [53]. This is not only applicable to metals and carbon, but also to biologicals [54].…”

mentioning

confidence: 99%

Development of Concepts for a Climate-Neutral Chemical–Pharmaceutical Industry in 2045

et al. 2022

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Global primary energy consumption has increased tenfold over the course of the 20th Century, the availability of non-renewable energy is becoming scarce, and the burning of fossil fuels is leading to global warming. Climate change has now become tangible. The will to act against fossil fuels has become apparent in the western world, and in Germany in particular. This poses a particular challenge for the chemical and pharmaceutical industry, since, in the future, not only will the energy input, but also the feedstock, have to come from non-fossil sources. They must be replaced by carbon capture and utilization, and the exploitation of a circular economy. Concepts for a climate-neutral chemical–pharmaceutical industry have been developed and evaluated. Due to a high predicted consumption of renewable energies and an insufficient expansion of these, Germany will remain an energy importer in the future. The largest consumer in a climate-neutral chemical–pharmaceutical industry will be electrolysis for hydrogen (up to 81%, 553 TWh/a). This can be circumvented by importing green ammonia and cracking. This will require investments of EUR 155 bn. An additional benefit will be increased independence from fossil resource imports, as green ammonia can be produced in a multitude of nations with strong potential for renewable energies and a diversified set of exporting nations.

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A Life Cycle Oriented Data-Driven Architecture for an Advanced Circular Economy

Cited by 17 publications

References 9 publications

A framework of digital technologies for the circular economy: Digital functions and mechanisms

A framework of digital technologies for the circular economy: Digital functions and mechanisms

Data Trading Similarity Signature An Extended Data Trading Framework for Human and Non-Human Actors

Development of Concepts for a Climate-Neutral Chemical–Pharmaceutical Industry in 2045

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