Titlebook: Optimization in Artificial Intelligence and Data Sciences; ODS, First Hybrid Co Lavinia Amorosi,Paolo Dell’Olmo,Isabella Lari Conference pr

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Mixed Integer Linear Programming for a Real-World Parallel Machine Scheduling Problem with Workforccomponents for motion systems. Similar problems have been solved in the literature under the framework of resource constrained parallel machine scheduling problems. In our work, the tests on the hydraulic components are the jobs to be scheduled. Each job must be processed on a machine and requires a

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Scheduling K-mers Counting in a Distributed Environment,g and aggregating features from the sequences under study and, then, by comparing them using alignment-free functions. When working on large collections of huge sequences, it is possible to improve the performance of these algorithms by executing the extraction and the aggregation steps, in parallel

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Workload Balancing at Cross-Docking Platforms, during another day, the products are then loaded into containers (outbound flow). At the end of the planning horizon (one week in this work), boats ship the containers to offshore production plants. Workers are required to perform the involved loading/unloading tasks. Constrained by the fact that a

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Knowledge Before Solutions: Some Reflections on a Successful O.R. Case Study,l programming techniques. What made the project successful was not the design of a sophisticated algorithm providing optimal solutions, but rather the iterative development of an integer linear programming model of the problem, solved by a general-purpose MILP solver. This approach was made possible

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A Genetic Algorithm to Optimize Dynamics of Supply Chains, suppliers and queues between consecutive arcs. An optimization approach is discussed via a cost functional that, in consideration of a wished outflow, weights queues of materials by variations of processing velocities for suppliers. The minimization of the cost functional is achieved via a genetic

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Closed-Loop Supply Chain Network Equilibrium with Online Second-Hand Trading, supply chain network consists of manufacturers, retailers, demand markets, and one online second-hand platform engaging in both horizontal and vertical competition. The optimal behaviors of all the decision-makers are modeled as variational inequality problems, and the governing closed-loop supply

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Design and Optimization of a Regional Buffalo Milk Supply Chain: A Case Study,ign and optimization of the supply chain required the solution of several combinatorial optimization problems at a strategic and tactical level: location, generalized assignment, transportation and inventory/routing. Some of them could be easily solved with a spreadsheet add-in, while others require

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