Andreas Tolk,Alison Harper,Navonil Mustafee
Andreas Tolk
Modelling and simulation (M&S) techniques are frequently used in Operations Research (OR) to aid decision-making. With growing complexity of systems to be modelled, an increasing number of studies now apply multiple M&S techniques or hybrid...
Ripple effect in the supply chain network: Forward and backward disruption propagation, network health and firm vulnerability [0.03%]
供应链网络中的涟漪效应：前后向干扰传播，网络健康和公司脆弱性
Yuhong Li,Kedong Chen,Stephane Collignon et al.
Yuhong Li et al.
A local disruption can propagate to forward and downward through the material flow and eventually influence the entire supply chain network (SCN). This phenomenon of ripple effect, immensely existing in practice, has received great interest...
Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation [0.03%]
无穷多决策单元的嵌套动态网络数据包络分析模型及其在投资项目评价中的应用
Tsung-Sheng Chang,Kaoru Tone,Chen-Hui Wu
Tsung-Sheng Chang
Portfolio performance evaluation is a major data envelopment analysis (DEA) application in the finance field. Most proposed DEA approaches focus on single-period portfolio performance assessment based on aggregated historical data. However,...
Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning [0.03%]
公共部门决策中的规范分析：充电设施规划框架及见解
Tobias Brandt,Sebastian Wagner,Dirk Neumann
Tobias Brandt
In this work, we investigate the challenges public-sector organizations face when seeking to leverage prescriptive analytics and provide insights into the public value such data-driven tools and methods can provide. Using the strategic tria...
The responsibility of social media in times of societal and political manipulation [0.03%]
社交媒体在社会和政治操纵时期的责任
Ulrike Reisach
Ulrike Reisach
The way electorates were influenced to vote for the Brexit referendum, and in presidential elections both in Brazil and the USA, has accelerated a debate about whether and how machine learning techniques can influence citizens' decisions. T...
Amirsaman H Bajgiran,Mahsa Mardikoraem,Ehsan S Soofi
Amirsaman H Bajgiran
Quantiles are available in various problems for developing probability distributions. In some problems quantiles are elicited from experts and used for fitting parametric models, which induce non-elicited information. In some other problems...
Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions [0.03%]
疫情期间的预测和规划：COVID-19增长率，供应链中断和政府决策
Konstantinos Nikolopoulos,Sushil Punia,Andreas Schäfers et al.
Konstantinos Nikolopoulos et al.
Policymakers during COVID-19 operate in uncharted territory and must make tough decisions. Operational Research - the ubiquitous 'science of better' - plays a vital role in supporting this decision-making process. To that end, using data fr...
Operational research: A multidisciplinary approach for the management of infectious disease in a global context [0.03%]
运营研究：在全球范围内管理传染病的多学科方法
Sheetal Prakash Silal;Modelling and Simulation Hub, Africa (MASHA)
Sheetal Prakash Silal;Modelling and Simulation Hub
Infectious diseases, both established and emerging, impose a significant burden globally. Successful management of infectious diseases requires considerable effort and a multidisciplinary approach to tackle the complex web of interconnected...
Superforecasting reality check: Evidence from a small pool of experts and expedited identification [0.03%]
超级预测现实检查：来自专家小组和快速识别的证据
Ilias Katsagounos,Dimitrios D Thomakos,Konstantia Litsiou et al.
Ilias Katsagounos et al.
Superforecasting has drawn the attention of academics - despite earlier contradictory findings in the literature, arguing that humans can consistently and successfully forecast over long periods. It has also enthused practitioners, due to t...
Integrated modeling of extended agro-food supply chains: A systems approach [0.03%]
扩展现有农业食品供应链的整体建模方法：系统方法论
Firouzeh Taghikhah,Alexey Voinov,Nagesh Shukla et al.
Firouzeh Taghikhah et al.
The current intense food production-consumption is one of the main sources of environmental pollution and contributes to anthropogenic greenhouse gas emissions. Organic farming is a potential way to reduce environmental impacts by excluding...