The four waves of systems thinking

D Cabrera, LL Cabrera, G Midgley - Journal of Systems Thinking, 2023 - scienceopen.com
This Handbook is about the past, present, and future of systems thinking. It captures the
history of systems thinking over its first three 'waves,'which are thought of as significant …

Gender equality: opportunities and challenges for the OR community

P Carroll, A Esposito Amideo - Journal of the Operational …, 2024 - Taylor & Francis
There is a research gap on understanding gender equality issues in the OR discipline, and
on the role of gender in OR participation and career progression. We apply a gender lens to …

[HTML][HTML] A metafrontier network DEA approach for water usage efficiency assessment in the light of SDG target 6.4

S Lozano, MM Borrego-Marín - Environmental Science & Policy, 2024 - Elsevier
The efficient use of water must be enhanced and promoted to achieve the Sustainable
Development Goal (SDG) 6. Thus, to contribute to the achievement of SDG Target 6.4 and …

[HTML][HTML] Half a century of Omega–The International Journal of Management Science: A bibliometric analysis

W Hussain, JM Merigó, I Rahimi, B Lev - Omega, 2024 - Elsevier
Abstract Omega–The International Journal of Management Science is a leading
international journal in management science and operations research. In 2023, Omega …

Resilience through appropriate response: a simulation study of disruptions and response strategies–case COVID-19 and the grocery supply chain

L Saarinen, H Oddsdottir, O Rehman - Operations Management Research, 2024 - Springer
In the wake of disruptions such as the COVID-19 pandemic, supply chains (SCs) face
unprecedented levels of uncertainty, underscoring the critical need for resilience …

Formulating human risk response in epidemic models: exogenous vs endogenous approaches

L LeJeune, N Ghaffarzadegan, LM Childs… - European Journal of …, 2025 - Elsevier
The recent pandemic emphasized the need to consider the role of human behavior in
sha** epidemic dynamics. In particular, it is necessary to extend beyond the classical …

PySCIPOpt-ML: Embedding trained machine learning models into mixed-integer programs

M Turner, A Chmiela, T Koch, M Winkler - arxiv preprint arxiv:2312.08074, 2023 - arxiv.org
A standard tool for modelling real-world optimisation problems is mixed-integer
programming (MIP). However, for many of these problems, information about the …

A machine learning approach for solution space reduction in aircraft disruption recovery

N Rashedi, N Sankey, V Vaze, K Wei - European Journal of Operational …, 2024 - Elsevier
Aircraft recovery, a critical step in airline operations recovery, aims to minimize the cost of
disrupted aircraft schedules. The exact methods for aircraft recovery are computationally …

Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework

M Mostajabdaveh, TT Yu… - INFOR: Information …, 2024 - Taylor & Francis
This paper explores the use of Large Language Models (LLMs) in modeling real-world
optimization problems. We concretely define the task of translating natural language …

Diffusion models as constrained samplers for optimization with unknown constraints

L Kong, Y Du, W Mu, K Neklyudov, V De Bortoli… - arxiv preprint arxiv …, 2024 - arxiv.org
Addressing real-world optimization problems becomes particularly challenging when
analytic objective functions or constraints are unavailable. While numerous studies have …