Results 111 to 120 of about 3,788,182 (279)
Business Strategy and the Environment, EarlyView.ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
MOMO - multi-objective metabolic mixed integer optimization: application to yeast strain engineering. [PDF]
BMC Bioinformatics, 2020 Andrade R +5 more
europepmc +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Food waste and loss (FWL) remains a critical challenge across food supply chains (SCs) globally, with approximately one‐third of all food produced for human consumption discarded or lost each year. This study systematically reviews how supply chain innovation (SCI) can mitigate FWL.
Ilias Vlachos
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Circular battery strategies have become of major interest focusing on material availability while increasing economic and environmental benefits. In this context of circular economy, one main challenge for automotive original equipment manufacturers is that the most profitable handling strategy along the lifecycle is unknown.
Michael Lieder +2 more
wiley +1 more source
Intersectional Fairness via Mixed-Integer Optimization
CoRRThe deployment of Artificial Intelligence in high-risk domains, such as finance and healthcare, necessitates models that are both fair and transparent. While regulatory frameworks, including the EU's AI Act, mandate bias mitigation, they are deliberately vague about the definition of bias.
Jiri Nemecek 0002 +4 more
openaire +3 more sources
Defossilisation of the Energy Supply of a Chemical Site by Integration of a Carnot Battery
Chemie Ingenieur Technik, EarlyView.This study presents the results of a techno‐economic analysis of CO2‐free energy supply concepts for electricity and heat for the defossilisation of a chemical park in Germany for the model years 2030 and 2045. The focus is on the integration of a Carnot battery with thermal energy storage, which enables the flexible use of green fuels and renewable ...
Martin Bolten +6 more
wiley +1 more source
Energy Flexibilization and Demand Response for a Novel Decentralized Power‐to‐Methanol Process
Chemie Ingenieur Technik, EarlyView.This study presents the results of an optimization framework for the scheduling of a Power‐to‐methanol process coupled with an electrolyser, renewable energy sources and a battery. The optimal dynamic operating schedule is computed with different configurations and boundary conditions, showing the advantages of flexible operation.
Max Kollmer +5 more
wiley +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley +1 more source
Nonlinear permuted Granger causality
Canadian Journal of Statistics, EarlyView.Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley +1 more source