Results 111 to 120 of about 10,494 (264)
Orchard netting impacts on biodiversity leading to cascading effects at the ecosystem level
ABSTRACT Agriculture must ensure food production without further compromising the ecosystem functions upon which it depends. Agricultural practices should therefore avoid harming farmland biodiversity, especially of taxa that supply the key ecosystem services (e.g.
Corrado Alessandrini +13 more
wiley +1 more source
Current Trends and Future Research in Management Control for Sustainability in Retail
ABSTRACT The growing emphasis on sustainability in the retail sector, driven by regulatory frameworks, market trends and consumer demand, has placed management control at the forefront of facilitating sustainability practices. Despite increasing academic interest in this area, the literature is fragmented and provides limited sector‐specific insight ...
Miguel Gil, Mart Ots, Timur Uman
wiley +1 more source
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari +2 more
wiley +1 more source
A formula for the value of a stochastic game. [PDF]
Attia L, Oliu-Barton M.
europepmc +1 more source
ABSTRACT Policy intervention can be a driver for industrial symbiosis (IS). However, given the wide variety of policy instruments available, policymakers should be guided in the policy design process to ensure that their intervention is effective and efficient. In this paper, we propose an agent‐based (AB) model intended to assess the effectiveness and
Melissa Mollica +2 more
wiley +1 more source
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
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
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
A stochastic game model of searching predators and hiding prey. [PDF]
Alpern S, Gal S, Lee V, Casas J.
europepmc +1 more source

