Sabino Francesco Roselli

Doctoral Student at Automation

Sabino Roselli is a PhD student in the automation research group, focusing his research on modeling of automatic facilities and manufacturing plants. Sabino is involved in the ENTOC project, related to efficiency increase in the engineering tool chain by automated generation of virtual production systems.

Source: chalmers.se
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Showing 7 publications

2021

On the Use of Equivalence Classes for Optimal and Suboptimal Bin Packing and Bin Covering

Sabino Francesco Roselli, Fredrik Hagebring, Sarmad Riazi et al
IEEE Transactions on Automation Science and Engineering. Vol. 18 (1), p. 369-381
Journal article
2020

Comparison of Exact and Approximate methods for the Vehicle Routing Problem with Time Windows

Elinor Jernheden, Carl Lindström, Rickard Persson et al
IEEE International Conference on Automation Science and Engineering. Vol. 2020-August, p. 378-383
Paper in proceeding
2020

On scheduling using optimizing SMT-solvers.

Sabino Francesco Roselli
Licentiate thesis
2020

Compact Representation of Time-Index Job Shop Problems Using a Bit-Vector Formulation

Sabino Francesco Roselli, Kristofer Bengtsson, Knut Åkesson
IEEE International Conference on Automation Science and Engineering. Vol. 2020-August, p. 1590-1595
Paper in proceeding
2019

SMT solvers for flexible job-shop scheduling problems: A computational analysis

Sabino Francesco Roselli, Kristofer Bengtsson, Knut Åkesson
IEEE International Conference on Automation Science and Engineering. Vol. 2019-August, p. 673-678
Paper in proceeding
2019

On the use of equivalence classes for optimal and sub-optimal bin covering

Sabino Francesco Roselli, Fredrik Hagebring, Sarmad Riazi et al
IEEE International Conference on Automation Science and Engineering. Vol. 2019-August, p. 1004-1009
Paper in proceeding
2018

SMT Solvers for Job-Shop Scheduling Problems: Models Comparison and Performance Evaluation

Sabino Francesco Roselli, Kristofer Bengtsson, Knut Åkesson
IEEE International Conference on Automation Science and Engineering. Vol. 2018-August, p. 547-552
Paper in proceeding

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