Operations Research and Enterprise Systems

Operations Research and Enterprise Systems

6th International Conference, ICORES 2017, Porto, Portugal, February 23-25, 2017, Revised Selected Papers

Liberatore, Federico; Parlier, Greg H.; Demange, Marc

Springer International Publishing AG

06/2018

317

Mole

Inglês

9783319947662

15 a 20 dias

5037

Descrição não disponível.
Methodologies and Technologies.- Optimization in Sports League Scheduling: Experiences from the Belgian Pro League Soccer.- Operations Research and Voting Theory.- The Window Fill Rate with Nonzero Assembly Times: Application to a Battery Swapping Network.- Solving the Integrated Production and Imperfect Preventive Maintenance Planning Problem.- Markov Decision Processes Applied to the Payment of Dividends of a Reserve Process.- Impact of Collaborative External Truck Scheduling on Yard Efficiency in Container Terminals.- Optimal Repricing Strategies in a Stochastic Infinite Horizon Duopoly.- Location-scheduling Optimization Problem to Design Private Charging Infrastructure for Electric Vehicles.- Approximate Dominance for Many-objective Genetic Programming.- Allocation Strategies based on Possibilistic Rewards for the Multi-Armed Bandit Problem: A Numerical Study and Regret Analysis.- Managing Service Parts for Discontinued Products: An Action Research Approach.- Optimizing Combination Warranty Policies using Remanufactured Replacement Products from the Seller and Buyer's Perspectives.- Applications.- Hierarchical Decomposition Approach for Detailed Scheduling of Pipeline Systems with Branches.- On the Impact of Considering Power Losses in Offshore Wind Farm Cable Routing.- A Novel Storage Space Allocation Policy for Import Containers.
artificial intelligence;automation of operations;business analytics;business information systems;computer networks;decision support systems;enterprise computing;enterprise systems;industry and manufacturing;information systems;integer programming;linear programming;mathematical optimization;mathematics of computing;numerical methods;probability;problem solving;supply chain management