Sabino Francesco Roselli
Sabino Roselli är en gemensam postdoktor mellan Automationsgruppen och Produktionsunderhållsgruppen, som fokuserar sin forskning på optimal och suboptimal schemaläggning av storskaliga industriella system med hjälp av klassiska optimeringsmetoder kombinerat med maskininlärning.
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Visar 15 publikationer
Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System
Conflict-free electric vehicle routing problem: an improved compositional algorithm
Online Conflict-Free Scheduling of Fleets of Autonomous Mobile Robots
A Compositional Algorithm for the Conflict-Free Electric Vehicle Routing Problem
Leveraging Conflicting Constraints in Solving Vehicle Routing Problems
Solving the conflict-free electric vehicle routing problem using SMT solvers
On the Use of Equivalence Classes for Optimal and Suboptimal Bin Packing and Bin Covering
An SMT Based Compositional Algorithm to Solve a Conflict-Free Electric Vehicle Routing Problem
Compact Representation of Time-Index Job Shop Problems Using a Bit-Vector Formulation
Comparison of Exact and Approximate methods for the Vehicle Routing Problem with Time Windows
On the use of equivalence classes for optimal and sub-optimal bin covering
SMT solvers for flexible job-shop scheduling problems: A computational analysis
SMT Solvers for Job-Shop Scheduling Problems: Models Comparison and Performance Evaluation
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Integrated Manufacturing Analytics Platform för Prediktivt Underhåll med IoT