Baller, Reinhard;Fontaine, Pirmin;Minner, Stefan;Lai, Zhen
Optimizing automotive inbound logistics: A mixed-integer linear programming approach
Transportation Research Part E: Logistics and Transportation Review
2022
163
102734

Sel, Burakhan;Minner, Stefan
A hedging policy for seaborne forward freight markets based on probabilistic forecasts
Transportation Research Part E: Logistics and Transportation Review
2022
166
102881

Zangaro, Francesco;Minner, Stefan;Battini, Daria
The multi-manned joint assembly line balancing and feeding problem
International Journal of Production Research
2022
61
16
5543-5565

Shen, Bin;Dong, Ciwei;Minner, Stefan
Combating Copycats in the Supply Chain with Permissioned Blockchain Technology
Production and Operations Management
2022
31
1
138-154

Zangaro, Francesco
Innovative Optimization Models for the Part Feeding Problem in the Automotive Industry
2022
Dissertation
173 Seiten

Busch, Nicolas;Crönert, Tobias;Minner, Stefan;Rettinger, Moritz;Sel, Burakhan
Deep Learning for Commodity Procurement: Non-Linear Data-Driven Optimization of Hedging Decisions
SSRN Electronic Journal
2022

Svoboda, Josef;Minner, Stefan
Tailoring inventory classification to industry applications: the benefits of understandable machine learning
International Journal of Production Research
2022
60
1
388-401

Gammelli, Daniele;Wang, Yihua;Prak, Dennis;Rodrigues, Filipe;Minner, Stefan;Pereira, Francisco Camara
Predictive and prescriptive performance of bike-sharing demand forecasts for inventory management
Transportation Research Part C: Emerging Technologies
2022
138
103571

Nieto-Isaza, Santiago;Fontaine, Pirmin;Minner, Stefan
The value of stochastic crowd resources and strategic location of mini-depots for last-mile delivery: A Benders decomposition approach
Transportation Research Part B: Methodological
2022
157
62-79

Mandl, Christian;Nadarajah, Selvaprabu;Minner, Stefan;Gavirneni, Srinagesh
Data‐driven storage operations: Cross‐commodity backtest and structured policies
Production and Operations Management
2022
31
6
2438-2456