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Turner blazes a trail for audience targeting on television with operations research and advanced analytics

Carbajal, José Antonio; Williams, Peter; Popescu, Andreea - In: INFORMS journal on applied analytics 49 (2019) 1, pp. 64-89

Persistent link: https://www.econbiz.de/10012024050

An integrated integer programming and forecasting model with geographic information systems for spray operations of West Nile disease insecticides

Min, Ho-key; Melachrinoudis, Emanuel - In: Supply chain analytics 4 (2023), pp. 1-13

Public health agencies and medical organizations have increased their relentless efforts to control the outbreaks of mosquitoes causing West Nile disease epidemics with the re-emergence of deadly disease in the United States. Such measures include a large-scale spray operation of insecticides...

Persistent link: https://www.econbiz.de/10014516537

A predictive and prescriptive analytical framework for scheduling language medical interpreters

Ahmed, Abdulaziz; Frohn, Elizabeth - In: Health care management science : a new journal serving … 24 (2021) 3, pp. 531-550

Persistent link: https://www.econbiz.de/10012616313

The Palgrave Handbook of Operations Research

Salhi, Saïd (ed.); Boylan, John (ed.) - 2022

Optimisation -- Chapter 11:- An Overview of Heuristics and Metaheuristics -- Chapter 12:- Formulation space search metaheuristic …:-Fuzzy multi-attribute decision-making: Theory, methods and Applications -- Chapter 19:- Importance measures in reliability …. The editors of this volume have taken the view that an inclusive stance is the most helpful, both for theory and practice …

Persistent link: https://www.econbiz.de/10013275870

Application of predictive methods to financial data sets

Habibi, Reza - In: Financial internet quarterly 17 (2021) 1, pp. 50-61

Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play a critical role in analyzing financial data sets. In...

Persistent link: https://www.econbiz.de/10012588934

Stochastic optimization with decision-dependent distributions

Drusvyatskiy, Dmitriy; Xiao, Lin - In: Mathematics of operations research 48 (2023) 2, pp. 954-998

Persistent link: https://www.econbiz.de/10014314968

Short-term hourly hydropower prediction : evaluating LSTM and MILP-based methods

Villeneuve, Yoan; Séguin, Sara; Chehri, Abdellah; … - 2025

Persistent link: https://www.econbiz.de/10015404003

A non-parametric approach to demand forecasting in revenue management

Azadeh, Sh. Sharif; Marcotte, Patrice; Savard, G. - In: Computers & operations research : and their … 63 (2015), pp. 23-31

Persistent link: https://www.econbiz.de/10011344165

Computing Minimal Forecast Horizons : An Integer Programming Approach

Dawande, Milind; Gavirneni, Srinagesh; Naranpanawe, Sanjeewa - 2008

In this paper, we use integer programming (IP) to compute minimal forecast horizons for the classical dynamic lot-sizing problem (DLS). As a solution approach for computing forecast horizons, integer programming has been largely ignored by the research community. It is our belief that the...

Persistent link: https://www.econbiz.de/10014218349

Optimal Selection of Expert Forecasts with Integer Programming

Matsypura, Dmytro - 2017

Combinations of point forecasts from expert forecasters are known to frequently outperform individual forecasts. It is also well documented that combination by simple averaging very often has performance superior to that of more sophisticated combinations. This empirical fact is referred to as...

Persistent link: https://www.econbiz.de/10012966346