Search Results

Big Data: An Introduction to Data-Driven Decision Making,
Ekene Okwechime, Peter B. Duncan, David A. Edgar, Elisabetta Magnaghi and Eleonora Veglianti, from Springer (2021)
Keywords: Big data, Open data, Data-driven decision-making

OM Forum —OM Research: From Problem-Driven to Data-Driven Research,
David Simchi-Levi, in Manufacturing & Service Operations Management (2014)
Keywords: operations management, research, impact on practice, problem-driven research, data-driven research, data-driven models, DDM

Data-driven advertising: Automation or emotion?,
Alan Schulman, in Journal of Digital & Social Media Marketing (2014)
Keywords: data-driven creative, addressability at scale, algorithms, science of advertising

Data-Driven Pricing for a New Product,
Mengzhenyu Zhang, Hyun-Soo Ahn and Joline Uichanco, in Operations Research (2022)
Keywords: Operations and Supply Chains, Bass model, data-driven pricing, demand learning

On the data-driven COS method,
Álvaro Leitao, Cornelis Oosterlee, Luis Ortiz-Gracia and Sander M. Bohte, in Applied Mathematics and Computation (2018)
Keywords: The COS method; Density estimation; Data-driven approach; Greeks; Delta–Gamma approach; The SABR model;

Emerging approaches for data-driven innovation in Europe,
Carlos Granell, Peter Mooney, Simon Jirka, Matthes Rieke, Frank Ostermann, Just van Den Broecke, Alessandro Sarretta, Stefaan Verhulst, Lina Dencik, Hillen Oost, Marina Micheli, Marco Minghini, Alexander Kotsev and Sven Schade, from Joint Research Centre (2022)
Keywords: data sharing, European data strategy, data-driven innovation, IoT

A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms,
Ming Zhang, Dongfang Yang, Jiaxuan Du, Hanlei Sun, Liwei Li, Licheng Wang and Kai Wang, in Energies (2023)
Keywords: LIB; SOH; data-driven algorithms; data processing

Using data-driven design to create a flexible and adaptable real estate portfolio while enhancing your employee experience,
Cristiano Testi and Georgina Reissing, in Corporate Real Estate Journal (2023)
Keywords: data-driven design, employee experience

Teaching Income Inequality with Data-Driven Visualization,
Sang T. Truong and Humberto Barreto, in The American Economist (2023)
Keywords: 3D; data visualization; data-driven education; Gini; survey; microdata; bootstrapping

Data-Driven Health Innovation and Privacy Regulation,
Conti Chiara, D’Annunzio Anna and Reverberi Pierfrancesco, in The B.E. Journal of Economic Analysis & Policy (2024)
Keywords: health data, data-driven innovation, precision medicine, privacy regulation

Teaching Income Inequality with Data-driven Visualization,
Sang Truong and Humberto Barreto, from DePauw University, School of Business and Leadership and Department of Economics and Management (2022)
Keywords: 3D, data visualization, data-driven education, Gini, survey, microdata, bootstrapping

Data or Business First?—Manufacturers’ Transformation Toward Data-driven Business Models,
Bastian Stahl, Björn Häckel, Daniel Leuthe and Christian Ritter, in Schmalenbach Journal of Business Research (2023)
Keywords: Data-driven business models, Data-driven services, Data analytics, Manufacturing, Enterprise architecture.

Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach,
G.D. Barmparis and G.P. Tsironis, in Chaos, Solitons & Fractals (2020)
Keywords: COVID-19; Data-driven; Infection horizon; Imposed measures;

A data-driven approach to include availability of ICU beds in the planning of the operating room,
Augustin A, Jouvet P, Lahrichi N, Lodi A and Rousseau Lm, in Omega (2022)
Keywords: Operating room scheduling; ICU; Data-driven approach;

Constructing neural network sediment estimation models using a data-driven algorithm,
Özgür Kisi, in Mathematics and Computers in Simulation (MATCOM) (2008)
Keywords: A data-driven algorithm; Sediment estimation; Neural networks;

Using data-driven methods to detect financial statement fraud in the real scenario,
Ying Zhou, Zhi Xiao, Ruize Gao and Chang Wang, in International Journal of Accounting Information Systems (2024)
Keywords: Fraud detection; Data-driven method; Class imbalance;

Rate-optimal data-driven specification testing in regression models,
Emmanuel Guerre and Pascal Lavergne, from University Library of Munich, Germany (2001)
Keywords: rate-optimal nonparametric data-driven specification test

Machine Learning Models for Data-Driven Prediction of Diabetes by Lifestyle Type,
Yifan Qin, Jinlong Wu, Wen Xiao, Kun Wang, Anbing Huang, Bowen Liu, Jingxuan Yu, Chuhao Li, Fengyu Yu and Zhanbing Ren, in IJERPH (2022)
Keywords: diabetes; machine learning; lifestyle; data-driven

Data-Driven Eco-Efficiency Analysis and Improvement in the Logistics Industry in Anhui,
Shiqiang Sun and Yujia Liu, in IJERPH (2023)
Keywords: eco-efficiency; data-driven; sustainability; logistics

Data-Driven Decentralized Algorithm for Wind Farm Control with Population-Games Assistance,
Julian Barreiro-Gomez, Carlos Ocampo-Martinez, Fernando D. Bianchi and Nicanor Quijano, in Energies (2019)
Keywords: data-driven control strategy; wind turbines

Relationships between rain and displacements of an active earthflow: a data-driven approach by EPRMOGA,
R. Vassallo, A. Doglioni, G. M. Grimaldi, C. Di Maio and V. Simeone, in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards (2016)
Keywords: Landslide, Displacement, Rainfall, Data-driven model, EPRMOGA

Data-driven simulation for energy consumption estimation in a smart home,
Stephen Adams, Steven Greenspan, Maria Velez-Rojas, Serge Mankovski and Peter A. Beling, in Environment Systems and Decisions (2019)
Keywords: Data-driven models, Energy estimation, Simulation

Data-Driven Joint Pricing and Inventory Management Newsvendor Problem,
Pengxiang Zhou and Wai Kin (Victor) Chan, from Springer (2021)
Keywords: Data-driven, Pricing, Inventory management, Causality

Data-Driven Intelligent Port Management Based on Blockchain,
Shuaian Wang, Lu Zhen, Liyang Xiao and Maria Attard, in Asia-Pacific Journal of Operational Research (APJOR) (2021)
Keywords: Intelligent port management, blockchain, data-driven model, ship traffic

Data-driven occupant-behavior analytics for residential buildings,
Yannan Sun, Weituo Hao, Yan Chen and Bing Liu, in Energy (2020)
Keywords: Data-driven; Machine learning; Occupant behavior; Residential buildings; Incentive evaluation;

On large deviation theorem for data-driven Neyman's statistic,
Tadeusz Inglot, in Statistics & Probability Letters (2000)
Keywords: Moderate deviation theorem Data-driven Neyman's statistic Exponential inequality

A data-driven approach for quantifying the resilience of railway networks,
Max J. Knoester, Nikola Bešinović, Amir Pooyan Afghari, Rob M.P. Goverde and Jochen van Egmond, in Transportation Research Part A: Policy and Practice (2024)
Keywords: Railways; Resilience; Bathtub model; Disruption management; Data-driven; ANOVA;

Data-driven approach for port resilience evaluation,
Bingmei Gu, Jiaguo Liu, Xiaoheng Ye, Yu Gong and Jihong Chen, in Transportation Research Part E: Logistics and Transportation Review (2024)
Keywords: Port resilience; Resilience metric; Data-driven; Machine learning; Port congestion;

Plastic Management and Sustainability: A Data-Driven Study,
Nesreen El-Rayes, Aichih (Jasmine) Chang and Jim Shi, in Sustainability (2023)
Keywords: plastic; production; sustainability; data-driven; text mining; waste

Data-Driven Stochastic Scheduling for Energy Integrated Systems,
Heng Yang, Ziliang Jin, Jianhua Wang, Yong Zhao, Hejia Wang and Weihua Xiao, in Energies (2019)
Keywords: data-driven; stochastic optimization; scheduling optimization; unit commitment

Tackling the global challenges using data-driven innovations,
Shahriar Akter, Saida Sultana, Angappa Gunasekaran, Ruwan J. Bandara and Shah J Miah, in Annals of Operations Research (2024)
Keywords: Data-driven innovation, Capabilities, Market orientation, Infrastructure orientation and talent orientation

Flood forecasting in large rivers with data-driven models,
Phuoc Nguyen, Lloyd Chua and Lam Son, in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards (2014)
Keywords: Large river, Mekong River, Flood forecasting, Data-driven model, ANFIS,

A Data-Driven Optimization Approach to Improve Railway Punctuality,
Florian Hauck and Natalia Kliewer, from Springer (2019)
Keywords: Data-driven optimization, Train timetabling, Mixed integer optimization

Data-driven retail inventory management with backroom effect,
Özgün Turgut, Florian Taube and Stefan Minner, in OR Spectrum: Quantitative Approaches in Management (2018)
Keywords: Backroom Effect, Data-driven approach, Joint replenishment problem, Retail, Inventory

Quantifying Data-Driven Campaigning Across Sponsors and Platforms,
Michael M. Franz, Meiqing Zhang, Travis N. Ridout, Pavel Oleinikov, Jielu Yao, Furkan Cakmak and Erika Franklin Fowler, in Media and Communication (2024)
Keywords: data-driven campaigning; digital campaigning; election campaigns; political advertising

Data-driven tree structure for PIN models,
Emily Lin, Chu-Lan Michael Kao and Natasha Sonia Adityarini, in Review of Quantitative Finance and Accounting (2021)
Keywords: PIN model, Hierarchical clustering, Tree voting, Data-driven method

Prescriptive Analytics for Data-Driven Capacity Management,
Pascal M. Notz, from Springer (2023)
Keywords: Prescriptive analytics, Machine learning, Data-driven operations management, Capacity planning

Acquisition of Costly Information in Data-Driven Decision Making,
Lukáš Janásek, from Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies (2022)
Keywords: costly information, data-driven decision-making, machine learning

Conceptualising value creation in data-driven services: The case of vehicle data,
Christian Kaiser, Alexander Stocker, Gianluigi Viscusi, Michael Fellmann and Alexander Richter, in International Journal of Information Management (2021)
Keywords: Value creation; Data-driven services; Automotive; Data sharing; Conceptual model;

How to transform your bank into a data-driven organisation?,
Vivek Bhanot, in Journal of Digital Banking (2017)
Keywords: data-driven, data strategy, analytics, data management, data governance, data quality

Data-driven political campaigns in practice: understanding and regulating diverse data-driven campaigns,
Katharine Dommett, in Internet Policy Review: Journal on Internet Regulation (2019)
Keywords: Data-driven campaigning, Micro-targeting, Regulation, Elections, Democracy

Data-Driven Analytics for Personalized Medical Decision Making,
Nataliia Melnykova, Nataliya Shakhovska, Michal Gregus, Volodymyr Melnykov, Mariana Zakharchuk and Olena Vovk, in Mathematics (2020)
Keywords: personalization; decision making; medical data; artificial intelligence; data-driven; big data; data mining; machine learning

Comparative study of data-driven and model-driven approaches in prediction of nuclear power plants operating parameters,
Houde Song, Xiaojing Liu and Meiqi Song, in Applied Energy (2023)
Keywords: Parameter prediction; Gated recurrent unit; RELAP5; Data-driven; Model-driven;

Climate of Data-driven Innovation Within E-business Retail Actors,
Malin Sundström, in FIIB Business Review (2019)
Keywords: E-Business; digitalization; data-driven innovation; innovation climate; data analytics

A data-driven approach to manpower planning at U.S.–Canada border crossings,
Mengqiao Yu, Yichuan Ding, Charles Lindsey and Cong Shi, in Transportation Research Part A: Policy and Practice (2016)
Keywords: Data-driven; Workforce policy; Queueing; Empirical data analysis;

Data-driven supply chain capabilities and performance: A resource-based view,
Wantao Yu, Roberto Chavez, Mark A. Jacobs and Mengying Feng, in Transportation Research Part E: Logistics and Transportation Review (2018)
Keywords: Big data; Data-driven supply chains; Supply chain capabilities; Performance;

A data-driven newsvendor problem: A high-dimensional and mixed-frequency method,
Cheng-Hu Yang, Hai-Tang Wang, Xin Ma and Srinivas Talluri, in International Journal of Production Economics (2023)
Keywords: Data-driven; Newsvendor; Machine learning; Mixed-frequency data; Variables selection;

On the determination of the number of factors using information criteria with data-driven penalty,
Joakim Westerlund and Sagarika Mishra, in Statistical Papers (2017)
Keywords: Panel data, Common factor model, Information criterion, Data-driven penalty

A data-driven neural network approach to optimal asset allocation for target based defined contribution pension plans,
Yuying Li and Peter A. Forsyth, in Insurance: Mathematics and Economics (2019)
Keywords: Neural network; Data-driven; Asset allocation;

Resilience analysis of highway network under rainfall using a data-driven percolation theory-based method,
Yang Li, Jialu Wu, Yunjiang Xiao, Hangqi Hu, Wei Wang and Jun Chen, in Physica A: Statistical Mechanics and its Applications (2024)
Keywords: Highway; Resilience; Percolation theory; Rainfall; Data-driven;

Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator,
Woonghee Tim Huh, Retsef Levi, Paat Rusmevichientong and James B. Orlin, in Operations Research (2011)
Keywords: inventory control, data-driven algorithms, statistics

Data-Driven Low-Carbon Control Method of Machining Process—Taking Axle as an Example,
Nan Wang, Quan Yang and Cuixia Zhang, in Sustainability (2022)
Keywords: data-driven; carbon emission; uncertainty; manufacturing

European Energy Regulatory, Socioeconomic, and Organizational Aspects: An Analysis of Barriers Related to Data-Driven Services across Electricity Sectors,
Kyriaki Psara, Christina Papadimitriou, Marily Efstratiadi, Sotiris Tsakanikas, Panos Papadopoulos and Paul Tobin, in Energies (2022)
Keywords: regulations; socioeconomic; organizations; barriers; data-driven

How Does Enterprise Architecture Support the Design and Realization of Data-Driven Business Models? An Empirical Study,
Faisal Rashed and Paul Drews, from Springer (2021)
Keywords: Data-driven, Business model, Enterprise architecture

Data-driven warehouse optimization,
Marek Matusiak, René de Koster and Jari Saarinen, from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam (2015)
Keywords: logistics, order picking, analytics, combinatorial optimization, data driven modelling

Data-driven journey: a data management paradigm-centric review and data mesh capabilities,
Kamel Abdellaoui, Mohamed Ali Hadj Taieb, Rafik Mahjoubi and Mohamed Ben Aouicha, in International Journal of Data Mining, Modelling and Management (2024)
Keywords: data-driven; data management paradigms; data mesh; analytics; developing countries.

A Pareto Dominance Principle for Data-Driven Optimization,
Tobias Sutter, Bart P. G. Van Parys and Daniel Kuhn, in Operations Research (2024)
Keywords: Machine Learning and Data Science, data-driven decision making, stochastic optimization, robust optimization, large deviations

Holistic Framework to Data-Driven Sustainability Assessment,
Paulo Peças, Lenin John, Inês Ribeiro, António J. Baptista, Sara M. Pinto, Rui Dias, Juan Henriques, Marco Estrela, André Pilastri and Fernando Cunha, in Sustainability (2023)
Keywords: Industry 4.0; decarbonizing; data-driven sustainability; holistic framework; continuous improvement; sustainability assessment; lean thinking; data analytics

The future of data-driven relationship innovation in the microfinance industry,
Umme Hani, Ananda Wickramasinghe, Uraiporn Kattiyapornpong and Shahriar Sajib, in Annals of Operations Research (2024)
Keywords: Relationship innovation, Big data analytics, Data-driven innovation, Trust, Commitment, Sustained competitive advantage

Data-driven customer acceptance for attended home delivery,
Charlotte Köhler, Ann Melissa Campbell and Jan Fabian Ehmke, in OR Spectrum: Quantitative Approaches in Management (2024)
Keywords: Historical data, Sampling, Data-driven customer acceptance, Attended home delivery, Vehicle routing with time windows

Data-Driven Evidential Reasoning Method for Evaluating e-Government Performance,
Ying Yang, Rui-Xue Lu, Min Xue, Zhi-Qin Shou, Jian-Bo Yang and Lei Fu, in International Journal of Information Technology & Decision Making (IJITDM) (2021)
Keywords: E-government performance evaluation, data-driven, evidential reasoning, weight learning

Data-Driven Business Model Innovation: About Barriers and New Perspectives,
Tim Mosig, Claudia Lehmann and Anne-Katrin Neyer, in International Journal of Innovation and Technology Management (IJITM) (2021)
Keywords: Data-driven business model innovation, barriers, open innovation, business ecosystems

Roadmapping in the Era of Uncertainty: How to Integrate Data-Driven Methods with Expert Insights,
Sungjoo Lee, Kook Jin Jang, Myung Han Lee and Seong Ryong Shin, in Foresight and STI Governance (Foresight-Russia till No. 3/2015) (2021)
Keywords: roadmapping; uncertainty; data-driven approach; expert insights; foresight

A Robust Data-Driven Approach for the Newsvendor Problem with Nonparametric Information,
Liang Xu, Yi Zheng and Li Jiang, in Manufacturing & Service Operations Management (2022)
Keywords: robust optimization, newsvendor, nonparametric information, data-driven decisions

Data-driven ship berthing forecasting for cold ironing in maritime transportation,
Nur Najihah Abu Bakar, Najmeh Bazmohammadi, Halil Çimen, Tayfun Uyanik, Juan C. Vasquez and Josep M. Guerrero, in Applied Energy (2022)
Keywords: Cold ironing; Data-driven; Electrification; Emission; Forecasting; Ship transportation;

Data-driven real-time power dispatch for maximizing variable renewable generation,
Zhigang Li, Feng Qiu and Jianhui Wang, in Applied Energy (2016)
Keywords: Data-driven; Real-time dispatch; Renewable energy generation; Uncertainty;

Data-driven approach in a compartmental epidemic model to assess undocumented infections,
Guilherme S. Costa, Wesley Cota and Silvio C. Ferreira, in Chaos, Solitons & Fractals (2022)
Keywords: Epidemic spreading; Undocumented infections; Epidemic surveillance; Data-driven modeling;

Research on data-driven operation control of secondary loop of district heating system,
Wei Zhong, Encheng Feng, Xiaojie Lin and Jinfang Xie, in Energy (2022)
Keywords: Data-driven model; District heating system; Secondary loop; Operation control;

A data-driven framework for characterising building archetypes: A mixed effects modelling approach,
Jaume Palmer Real, Jan Kloppenborg Møller, Rongling Li and Henrik Madsen, in Energy (2022)
Keywords: Building archetype; Thermal characterisation; Mixed-effects modelling; Data-driven modelling;

A data-driven method to characterize turbulence-caused uncertainty in wind power generation,
Jie Zhang, Rishabh Jain and Bri-Mathias Hodge, in Energy (2016)
Keywords: Data-driven; Surrogate modeling; Uncertainty quantification; Turbulence intensity; Wind distribution;

A Representative Consumer Model in Data-Driven Multiproduct Pricing Optimization,
Zhenzhen Yan, Karthik Natarajan, Chung Piaw Teo and Cong Cheng, in Management Science (2022)
Keywords: representative consumer model, data-driven pricing, identification, sample complexity analysis

Marketing in a data-driven digital world: Implications for the role and scope of marketing,
Denish Shah and B.P.S. Murthi, in Journal of Business Research (2021)
Keywords: Data-driven marketing; Digital technology; Future of marketing; Evolution of marketing role;

How to improve a technology evaluation model: A data-driven approach,
Heeyong Noh, Ju-Hwan Seo, Hyoung Sun Yoo and Sungjoo Lee, in Technovation (2018)
Keywords: Technology evaluation model; Validity; Improvement; South Korea; Data-driven;

Empirical Study of Data-Driven Evolutionary Algorithms in Noisy Environments,
Dalue Lin, Haogan Huang, Xiaoyan Li and Yuejiao Gong, in Mathematics (2022)
Keywords: data-driven optimization; evolutionary computation; surrogate models; noisy environment

Generalized Data–Driven Predictive Control: Merging Subspace and Hankel Predictors,
M. Lazar and P. C. N. Verheijen, in Mathematics (2023)
Keywords: data–driven control; predictive control; constrained control; regularized least squares

Comparison of deterministic and data-driven models for solar radiation estimation in China,
Wenmin Qin, Lunche Wang, Aiwen Lin, Ming Zhang, Xiangao Xia, Bo Hu and Zigeng Niu, in Renewable and Sustainable Energy Reviews (2018)
Keywords: Solar radiation; Deterministic model; Data-driven model; Comparison; China;

A review of data-driven building energy consumption prediction studies,
Kadir Amasyali and Nora M. El-Gohary, in Renewable and Sustainable Energy Reviews (2018)
Keywords: Building energy; Energy consumption prediction; Data-driven methods; Machine learning;

Data-driven safety enhancing strategies for risk networks in construction engineering,
Fangyu Chen, Hongwei Wang, Gangyan Xu, Hongchang Ji, Shanlei Ding and Yongchang Wei, in Reliability Engineering and System Safety (2020)
Keywords: Safety enhancing strategies; Risk network; Data-driven; Construction engineering;

Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty,
Gabriel Sarazin, Morio, Jérôme, Lagnoux, Agnès, Mathieu Balesdent and Brevault, Loïc, in Reliability Engineering and System Safety (2021)
Keywords: Sensitivity analysis; Rare-event simulation; Dependence modeling; Data-driven modeling;

A data-driven dynamic repositioning model in bicycle-sharing systems,
Jie Zhang, Meng Meng, Yiik Diew Wong, Petros Ieromonachou and David Z.W. Wang, in International Journal of Production Economics (2021)
Keywords: Bicycle-sharing; Dynamic repositioning; Demand prediction; Neural network; Data-driven;

Data-driven demand forecast for O2O operations: An adaptive hierarchical incremental approach,
Hongyan Dai, Qin Xiao, Songlin Chen and Weihua Zhou, in International Journal of Production Economics (2023)
Keywords: Forecasting; Online-to-offline; Data-driven; Incremental method; Hierarchical process;

An analysis on convergence of data-driven approach to ship lock scheduling,
Xiaoping Wang, Yunliang Zhao, Peng Sun and Xiaobin Wang, in Mathematics and Computers in Simulation (MATCOM) (2013)
Keywords: Convergence; Data-driven; Ship lock scheduling; Ant colonyoptimization;

A Data-Driven Approach for Agent-Based Modeling: Simulating the Dynamics of Family Formation,
Mazhar Sajjad, Karandeep Singh, Euihyun Paik and Chang-Won Ahn, in Journal of Artificial Societies and Social Simulation (2016)
Keywords: Data-Driven, Agent-Based Model, Family Formation, Socioeeconomic Status

Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview,
Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva and Emanuele Ogliari, in Forecasting (2023)
Keywords: lithium batteries; estimation; data-driven; machine learning; state of charge

A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance,
Antonios Kamariotis, Konstantinos Tatsis, Eleni Chatzi, Kai Goebel and Daniel Straub, in Reliability Engineering and System Safety (2024)
Keywords: PHM; Predictive maintenance; Data-driven prognostics; RUL; Performance metrics; CMAPSS;

Data-Driven Order Fulfillment Consolidation for Online Grocery Retailing,
Yang Wang, Tong Wang, Xiaoqing Wang, Yuming Deng and Lei Cao, in Interfaces (2024)
Keywords: order fulfillment, order consolidation, online grocery retailing, data-driven operations

Data-driven ordering and transshipment decisions for online retailers and logistics service providers,
Lihong Cheng, Xiaolong Guo, Xiaoxiao Li and Yugang Yu, in Transportation Research Part E: Logistics and Transportation Review (2022)
Keywords: Preventive transshipment; Logistics service provider; Data-driven inventory transshipment;

Data-Driven Optimization for Commodity Procurement Under Price Uncertainty,
Christian Mandl and Stefan Minner, in Manufacturing & Service Operations Management (2023)
Keywords: commodity procurement, data-driven optimization, machine learning, prescriptive analytics

A data-driven approach for optimal operational and financial commodity hedging,
Moritz Rettinger, Christian Mandl and Stefan Minner, in European Journal of Operational Research (2024)
Keywords: Decision analysis; Commodity procurement; Data-driven optimization; Model generalization;

Data-Driven Surgical Tray Optimization to Improve Operating Room Efficiency,
Vinayak Deshpande, Nishanth Mundru, Sandeep Rath, Martyn Knowles, David Rowe and Benjamin C. Wood, in Operations Research (2024)
Keywords: OR Practice, data-driven optimization, healthcare operations, surgical tray rationalization