Results 141 to 150 of about 214,358 (295)

A Taxonomy of Predictive Maintenance as a Basis for Supra‐Regional Sustainability Monitoring—Literature Review

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner   +6 more
wiley   +1 more source

Applying fuzzy logics in net present value calculation for construction projects

open access: yesTạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kỹ thuật và Công nghệ, 2012
In practice, engineering economic analysis involves uncertainty about future cash flows. Therefore, the conventional cash flow models where cash flows are defined as either crisp numbers or risky probability distributions do not describe sufficiently the
Nguyễn Hoài Nghĩa
doaj  

The Use of Renewable Energy in Prominent City Buildings: A Diffusion Study on Top European Football Organizations

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The present study applied the diffusion of innovation theory to investigate the rate of diffusion of renewable energy sources used by Europe's top professional football stadiums and the relationship with carbon neutrality. A discrete diffusion model estimated the diffusion of renewable energy to saturation, and a multivariate logistic ...
Chad S. Seifried   +2 more
wiley   +1 more source

Consumers' Intention to Use Circular Business Models: A Configurational Analysis

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Circular business models (CBMs) integrate ecological sustainability and resource efficiency into core business strategies, but their success depends on consumers' intention to use. Grounded in expectancy–value theory, this study investigates how product‐related factors (perceived usefulness, convenience, value for money, and performance risk ...
Christof Falkenberg   +4 more
wiley   +1 more source

Optimization of Lithium‐Ion Battery Circular Economy in Electric Vehicles in Sustainable Supply Chain

open access: yesBattery Energy, Volume 4, Issue 2, March 2025.
Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities. ABSTRACT Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities.
Mohsen Alizadeh Afroozi   +4 more
wiley   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

open access: yesCivil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Strategies to Enhance Ionic Conductivity of Na3Zr2Si2O12 Solid Electrolyte for Advanced Solid‐State Sodium Batteries

open access: yesCarbon Energy, EarlyView.
This review presents a comprehensive summary and discussion of some optimization strategies for enhancing room‐temperature ionic conductivity of Na3Zr2Si2PO12 (NZSP) solid electrolyte for solid‐state sodium batteries, including foreign‐ion doping or substitution, sintering behavior modulation, and regulation of chemical composition based on precursors.
Jiawen Hu   +5 more
wiley   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao   +2 more
wiley   +1 more source

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