Computational management science

Keyphrases

Publications

volume 20, number 1, 2023

Šárka Štádlerová, Sanjay Dominik Jena, Peter Schütz
Using Lagrangian relaxation to locate hydrogen production facilities under uncertain demand: a case study from Norway. Computational management science 20 (1) (2023)
Šárka Štádlerová, Sanjay Dominik Jena, Peter Schütz
Using Lagrangian relaxation to locate hydrogen production facilities under uncertain demand: a case study from Norway. Computational management science 20 (1) (2023)
Mohamed Kais Msakni, Anders Risan, Peter Schütz
Using machine learning prediction models for quality control: a case study from the automotive industry. Computational management science 20 (1) (2023)
Mohamed Kais Msakni, Anders Risan, Peter Schütz
Using machine learning prediction models for quality control: a case study from the automotive industry. Computational management science 20 (1) (2023)
Alessandro Staino, Emilio Russo, Massimo Costabile, Arturo Leccadito
Minimum capital requirement and portfolio allocation for non-life insurance: a semiparametric model with Conditional Value-at-Risk (CVaR) constraint. Computational management science 20 (1) (2023)
Maria Elena De Giuli, Alessandro Spelta
Wasserstein barycenter regression for estimating the joint dynamics of renewable and fossil fuel energy indices. Computational management science 20 (1) (2023)

volume 19, number 3, 2022

Sebastian Sund, Lars H Sendstad, Jacco J J Thijssen
Kalman filter approach to real options with active learning. Computational management science 19 (3) (2022)
René Y Glogg, Anna Timonina-Farkas, Ralf W Seifert
Modeling and mitigating supply chain disruptions as a bilevel network flow problem. Computational management science 19 (3) (2022)

volume 18, number 2, 2021

Massimo Arnone, Michele Leonardo Bianchi, Anna Grazia Quaranta, Gian Luca Tassinari
Catastrophic risks and the pricing of catastrophe equity put options. Computational management science 18 (2) (2021)

volume 18, number 4, 2021