Progress for Life Cycle Sustainability Assessment by Means of Digital Lifecycle Twins — A Taxonomy

Riedelsheimer, Theresa; Neugebauer, Sabrina; Lindow, Kai

doi:10.1007/978-981-15-6775-9_21

Cited by 18 publications

(8 citation statements)

References 24 publications

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“…In detail, it emerged that Internet of Things technologies are mainly used to extend the life cycle of the product but they prove to be a good solution also for the management of waste collection and recovery operations in the supply chain [12][13][14]. While, Big Data Analytics technologies are useful to use resources efficiently, to collect or manage data relating to the life cycle of products, and to develop new business models in a circular perspective.…”

Section: Reality) or Title-abs-key (Additive And Manufacturing) Or Title-abs-key (Horizontal And Vertical And Integration) Or Title-abs-kmentioning

confidence: 99%

Product Lifecycle: Social and Political Reflections from the Digital and Sustainable Perspectives

Felice¹,

Petrillo²

2021

Product Life Cycle - Opportunities for Digital and Sustainable Transformation

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Digitalization and sustainability are the drivers of the global development of the future that have slowly conquered the agendas of governments and organizations on every continent. In this context, the pandemic has proved to be a powerful technological accelerator, helping to give a greater boost to these drivers, “guiding” leading the productive and economic sector throughout the world. Today the sustainability and digitalization represent the indispensable prerequisites to add economic, environmental, and social sovereignty. In fact, the scenario that the Coronavirus is leaving us foreshadows the need not to be satisfied with reaching targets for reducing greenhouse gas emissions, but to imagine “global” governance for the development of business models based on the new digital frontiers. Thus, what are the challenges for achieving the paradigms of sustainability and digitization in this new era? And what are the tools for a “digicircular” transformation? The aim of this chapter is to investigate these issues. To this end, it should be noted that, in this chapter, our aim is not to present an analysis of literature in the classical sense but rather political and social reflections.

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Section: Reality) or Title-abs-key (Additive And Manufacturing) Or Title-abs-key (Horizontal And Vertical And Integration) Or Title-abs-kmentioning

confidence: 99%

Product Lifecycle: Social and Political Reflections from the Digital and Sustainable Perspectives

Felice¹,

Petrillo²

2021

Product Life Cycle - Opportunities for Digital and Sustainable Transformation

View full text Add to dashboard Cite

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“…This is followed by automated data analysis, which is envisioned as knowledge generation (Riedelsheimer et al, 2018). In the next step, the knowledge will be returned as decision support and transferred into product improvements in the final step (Riedelsheimer et al, 2018). Continuing, Tao et al (2019) developed an extended framework for product design driven by the Digital Twin.…”

Section: Introductionmentioning

confidence: 99%

“…et al (2018) developed a framework for the traceability of data managed by the Digital Twin. First, the Digital Lifecycle Twin is defined, which maps data from the product lifecycle over the entire product lifecycle (Riedelsheimer et al, 2018). Based on this, the process steps of data acquisition, data processing, data transfer to the Digital Twin, and storage and management must be performed to transfer the data to the Digital Lifecycle Twin.…”

Section: Introductionmentioning

confidence: 99%

“…Based on this, the process steps of data acquisition, data processing, data transfer to the Digital Twin, and storage and management must be performed to transfer the data to the Digital Lifecycle Twin. This is followed by automated data analysis, which is envisioned as knowledge generation (Riedelsheimer et al, 2018). In the next step, the knowledge will be returned as decision support and transferred into product improvements in the final step (Riedelsheimer et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Product Life Cycle Management With Digital Twins for Product Generation Development

et al. 2023

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Digital Twins are virtual representations of a product-service-instance and, as a technology, represent an important part of the realization of Industry 4.0. They manage data of the associat-ed product instance and can also have functions for simulation to achieve cost and resource savings while simultaneously increasing product quality. In this paper, a need for action for the implementation of a systematic approach for the returning of data of Digital Twins into the product design is identified and a methodology is developed as an answer. This methodology realizes an information management, which supports holistic data and information flows. It de-fines necessary steps for the implementation of data and information transport, starting from a data management up to information provision in product design. Based on a performed potential analysis for the identification of intended uses in the context of product design, the overall ap-plication focus is narrowed down to the development of new product generations to support the requirements development. The concept structure consists of Digital Twins, a data mining sys-tem for the transformation of data into information and a presentation system for managing the information provided.

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“…Some studies consider PSS business models as inherently sustainable, while other authors point out specific conditions that must be met for PSS to be truly sustainable [12]. For example, some publications argue that PSS suppliers can implement holistic recycling and extended product life through the control of their products, e.g., by IoT (Internet of Things) solutions, thus improving sustainability in resource consumption [13]. Others point to changed customer behavior, whereby careless handling of products leads to increased wear and tear [14,15].…”

Section: Introductionmentioning

confidence: 99%

Systematic Literature Review—Effects of PSS on Sustainability Based on Use Case Assessments

et al. 2020

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Product-service systems (PSS) are often presented as an inherently sustainable business model. The argumentation is often based on theoretical considerations, which cite circular economy (CE) characteristics in PSS business models as an explanation. In this paper we examined to what extent positive and negative sustainability effects of PSS could actually be observed, based on use cases. For this purpose, we conducted a systematic literature review and analyzed the statements on sustainability effects based on the triple bottom line approach. We find that positive sustainability effects, especially on the environmental sustainability of PSS, are described disproportionately often, which may be indicating a possible publication bias. In addition, the methods used to derive statements on sustainability effects are very heterogeneous and often unsystematic, making it difficult to compare the described effects. Furthermore, we were able to identify drivers that are particularly often considered in literature to be responsible for sustainability effects. As a result, we were able to derive direct implications for future research in the field of sustainability assessment of PSS.

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Progress for Life Cycle Sustainability Assessment by Means of Digital Lifecycle Twins — A Taxonomy

Cited by 18 publications

References 24 publications

Product Lifecycle: Social and Political Reflections from the Digital and Sustainable Perspectives

Product Lifecycle: Social and Political Reflections from the Digital and Sustainable Perspectives

Product Life Cycle Management With Digital Twins for Product Generation Development

Systematic Literature Review—Effects of PSS on Sustainability Based on Use Case Assessments

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