Understanding Circular Economy Trade-offs

Ünal, Enes; Sinha, Vikash Kumar

doi:10.5465/ambpp.2021.13775abstract

Cited by 3 publications

(1 citation statement)

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“…Rosa et al [11] and Bonilla et al [20], for example, point out that I40Ts offer a wide range of possibilities that can help companies to improve their circular performance. The fact is that, from the product design phase, decisions are made that can significantly influence the degree of circularity of the system and, in this decisionmaking, investments in I40Ts are key [22,23]. However, Nascimento et al [24], among These strategies provide new opportunities arising from technological development and should take advantage of the technologies of the so-called Fourth Industrial Revolution (I40) [10,11].…”

Section: Introductionmentioning

confidence: 99%

How Do Technologies Based on Cyber–Physical Systems Affect the Environmental Performance of Products? A Comparative Study of Manufacturers’ and Customers’ Perspectives

et al. 2022

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In the academic literature, there are studies that link the adoption of Industry 4.0 technologies with an improvement in product-related circular economy indicators. However, there are scarce studies carried out in business contexts that analyse the degree, the stage of the life cycle and the value given to these improvements by customers and Industry 4.0 technology manufacturers. To contribute to clarifying these fields, a multiple-case study of nineteen technology manufacturers has been conducted, with input from the experience of venture clients as users and active participants in a shared project. Both manufacturers and their customers agree that Industry 4.0 technologies have a positive impact on circular economy. Benefits depend on the type of technology and its application and are mainly concentrated in the manufacturing phase. Additive manufacturing appears to be the technology with the greatest potential to influence circular economy, but customers also highlight the influence of augmented/virtual reality. Most manufacturers and customers emphasise the biggest influence is on reducing material consumption. This serves to improve the critical variables of market positioning by reducing product costs. However, acquisition cost, as well as quality and safety specifications, are of greater importance to manufacturers and customers, which may limit the environmental benefits obtained.

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Section: Introductionmentioning

confidence: 99%

How Do Technologies Based on Cyber–Physical Systems Affect the Environmental Performance of Products? A Comparative Study of Manufacturers’ and Customers’ Perspectives

et al. 2022

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Influence of Artificial Intelligence on Resource Consumption

Uriarte-Gallastegi,

Landeta-Manzano,

Arana-Landin

et al. 2023

IFIP Advances in Information and Communication Technology

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Net-particle number fluctuations in a hydrodynamic description of heavy-ion collisions

2022

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Utilizing viscous hydrodynamic simulations of heavy-ion collisions, we study the behavior of cumulants of (net-)(anti)proton number distributions at RHIC beam energy scan energies, incorporating non-critical contributions like baryon conservation and excluded volume. The experimental data on net-proton cumulants at √SNN > 20 GeV are consistent with simultaneous effects of global baryon conservation and repulsive interactions in baryon sector, whereas the data at lower collision energies show possible indications for sizable attractive interactions among baryons. We discuss the behavior of factorial cumulants in addition to the ordinary cumulants, and also address the quantitative difference between proton and baryon number cumulants.

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Understanding Circular Economy Trade-offs

Cited by 3 publications

References 0 publications

How Do Technologies Based on Cyber–Physical Systems Affect the Environmental Performance of Products? A Comparative Study of Manufacturers’ and Customers’ Perspectives

How Do Technologies Based on Cyber–Physical Systems Affect the Environmental Performance of Products? A Comparative Study of Manufacturers’ and Customers’ Perspectives

Influence of Artificial Intelligence on Resource Consumption

Net-particle number fluctuations in a hydrodynamic description of heavy-ion collisions

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