Results 111 to 120 of about 3,544 (214)

Towards Foundation Models for Mixed Integer Linear Programming

CoRR
Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep learning approaches for MILP focus on specific problem classes and do not generalize to unseen classes.
Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu 0002, Beibin Li   +4 more
openaire   +3 more sources

Can Credit Rating Changes Affect Corporate Carbon Emissions? Some Evidence From the S&P 500

Business Strategy and the Environment, EarlyView.
ABSTRACT Using panel data on US S&P 500 firms from 2012 to 2024, this study examines how credit rating changes affect corporate carbon performance. Drawing on the resource‐based view and prospect theory, we show that credit rating downgrades lead to a statistically and economically significant deterioration in emission reduction scores.
Michal Wojewodzki, Mohamad H. Shahrour, Alireza Rohani, Bradley R. Barnes, Chi Keung Marco Lau   +4 more
wiley   +1 more source

Integrating Recycling and Emission Reduction: A Business Strategy Analysis With Multi‐Objective Mixed‐Integer Linear Programming Framework for Optimising Sustainable Closed‐Loop Supply Chain Network Design

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

Supply Chain Innovations for Food Waste and Loss: Systematic Literature Review and Future Research Agenda

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

ESG Disclosure Quality as Organizational Information Processing: Comparing Human Coding, Rule‐Based Automation, and LLM Semantic Scoring

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how different scoring architectures evaluate the same ESG disclosure text and produce different ESG disclosure‐quality scores. Using sustainability‐related reports published by Korean listed firms during 2020–2021, the study compares three approaches: Human‐ESG based on a structured nine‐item disclosure‐quality rubric, Rule‐
Jaehyun Park
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, Markus Vogelbacher, Mücahit Terzi, Mohit Singh, Francsico Vidal‐Vazquez, Jörg Matthes   +5 more
wiley   +1 more source

Dynamic survival risk prediction with time‐varying high‐dimensional images

Canadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu, Haolun Shi, Shu Jiang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jiguo Cao, for the Alzheimer's Disease Neuroimaging Initiative   +7 more
wiley   +1 more source

Large parameter asymptotic analysis for homogeneous normalized random measures with independent increments

Canadian Journal of Statistics, EarlyView.
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley   +1 more source

Decarbonizing India's Industrial Sector: Analysis of the Combined Impacts of the Perform, Achieve, Trade Scheme and the National Green Hydrogen Mission

Energy Science &Engineering, EarlyView.
This study demonstrates that integrating India's Perform, Achieve and Trade (PAT) scheme with the National Green Hydrogen Mission (NGHM) can significantly accelerate industrial decarbonization. Energy efficiency drives near‐term emissions reductions, while green hydrogen becomes the dominant abatement pathway after 2035.
Manogna R L, Krishna Brinda Kanumilli
wiley   +1 more source

Donor‐acceptor fractal synergy: Decoding self‐similarity for stable organic photovoltaics

FlexMat, EarlyView.
Morphological congruence between donor and acceptor refines the fractal structure of bulk heterojunction films and enhances their self‐similarity. This optimized multiscale morphology preserves charge‐transport pathways against external disturbances, suppresses structural degradation, and improves the operational stability of organic solar cells while ...
Runzheng Gu, Zhongwei Ge, Yiyun Li, Fengzhe Cui, Zhen Fu, Mingxu Zhou, Dongcheng Jiang, Jiangkai Sun, Jianqiang Liu, Kangning Zhang, Feng Chen, Hang Yin, Yanming Sun, Xiaotao Hao   +13 more
wiley   +1 more source