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The four waves of systems thinking
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 …
history of systems thinking over its first three 'waves,'which are thought of as significant …
Gender equality: opportunities and challenges for the OR community
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 …
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 …
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
Abstract Omega–The International Journal of Management Science is a leading
international journal in management science and operations research. In 2023, Omega …
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 …
unprecedented levels of uncertainty, underscoring the critical need for resilience …
Formulating human risk response in epidemic models: exogenous vs endogenous approaches
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 …
sha** epidemic dynamics. In particular, it is necessary to extend beyond the classical …
PySCIPOpt-ML: Embedding trained machine learning models into mixed-integer programs
A standard tool for modelling real-world optimisation problems is mixed-integer
programming (MIP). However, for many of these problems, information about the …
programming (MIP). However, for many of these problems, information about the …
A machine learning approach for solution space reduction in aircraft disruption recovery
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 …
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
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 …
optimization problems. We concretely define the task of translating natural language …
Diffusion models as constrained samplers for optimization with unknown constraints
Addressing real-world optimization problems becomes particularly challenging when
analytic objective functions or constraints are unavailable. While numerous studies have …
analytic objective functions or constraints are unavailable. While numerous studies have …