Daniel Alejandro Rossit

According to our database, Daniel Alejandro Rossit authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Mass Customization Manufacturing: Multiobjective Metaheuristic Algorithms for Flow Shop Production in Smart Industry.

Diego Rossit, Daniel Rossit, Sergio Nesmachnow

SN Comput. Sci., August, 2024

A digital twin for operations management in manufacturing engineering-to-order environments.

Guido Vinci Carlavan, Daniel Rossit, Adrián Toncovich

J. Ind. Inf. Integr., 2024

Effective heuristics for permutation and non-permutation flow shop scheduling with missing operations.

Marcus Ritt, Daniel Alejandro Rossit

Comput. Oper. Res., 2024

2023

Goal programming and multi-criteria methods in remanufacturing and reverse logistics: Systematic literature review and survey.

Elena María Guggeri, Carolina Ham, Pilar Silveyra, Daniel Alejandro Rossit, Pedro Piñeyro

Comput. Ind. Eng., November, 2023

Cloud manufacturing architectures: State-of-art, research challenges and platforms description.

Santiago Chiappa, Emiliano Videla, Víctor Viana Céspedes, Pedro Piñeyro, Daniel Alejandro Rossit

J. Ind. Inf. Integr., August, 2023

Flow shop scheduling problem with non-linear learning effects: A linear approximation scheme for non-technical users.

Augusto Ferraro, Daniel Alejandro Rossit, Adrián Toncovich

J. Comput. Appl. Math., May, 2023

OR in digital production and logistics management.

Héctor Cancela, Fernando Tohmé, Pedro Piñeyro, Daniel Alejandro Rossit

Ann. Oper. Res., March, 2023

Smart Industry Strategies for Shop-Floor Production Planning Problems to Support Mass Customization.

Diego Rossit, Daniel Alejandro Rossit, Sergio Nesmachnow

Proceedings of the Smart Cities - 6th Ibero-American Congress, 2023

2022

Mass customized/personalized manufacturing in Industry 4.0 and blockchain: Research challenges, main problems, and the design of an information architecture.

Andrea Teresa Espinoza Pérez, Daniel Alejandro Rossit, Fernando Tohmé, Óscar C. Vásquez

Inf. Fusion, 2022

knowledge representation in Industry 4.0 scheduling problems.

Daniel Alejandro Rossit, Fernando Tohmé

Int. J. Comput. Integr. Manuf., 2022

2021

Explicit Multiobjective Evolutionary Algorithms for Flow Shop Scheduling with Missing Operations.

Diego Gabriel Rossit, Daniel Alejandro Rossit, Sergio Nesmachnow

Program. Comput. Softw., 2021

One-of-a-kind Production in Cyber-Physical Production Systems Considering Machine Failures.

Guido Vinci Carlavan, Daniel Alejandro Rossit

J. Integr. Des. Process. Sci., 2021

A combinatorial analysis of the permutation and non-permutation flow shop scheduling problems.

Daniel Alejandro Rossit, Óscar C. Vásquez, Fernando Tohmé, Mariano Frutos, Martín D. Safe

Eur. J. Oper. Res., 2021

2020

Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System.

Máximo Méndez, Daniel Alejandro Rossit, Begoña González, Mariano Frutos

IEEE Access, 2020

Modelling the Dynamics of a Digital Twin.

Marisa Analía Sánchez, Daniel Alejandro Rossit, Fernando Tohmé

Proceedings of the Production Research - 10th International Conference of Production Research, 2020

Simultaneous Lot-Sizing and Scheduling with Recovery Options: Problem Formulation and Analysis of the Single-Product Case.

Pedro Piñeyro, Daniel Alejandro Rossit

Proceedings of the Production Research - 10th International Conference of Production Research, 2020

Minimizing Total Implementation Cost of a 2-D Indoor Localization System with a Constant Accuracy for Underground Mine Tunnels.

Andrea Teresa Espinoza Pérez, Daniel Alejandro Rossit, Óscar C. Vásquez

Proceedings of the Production Research - 10th International Conference of Production Research, 2020

Production Capacity Study in Footwear Production Systems Based on Simulation.

Florencia Dornes, Daniel Alejandro Rossit, Nancy B. López

Proceedings of the Production Research - 10th International Conference of Production Research, 2020

2019

A data-driven scheduling approach to smart manufacturing.

Daniel Alejandro Rossit, Fernando Tohmé, Mariano Frutos

J. Ind. Inf. Integr., 2019

Industry 4.0: Smart Scheduling.

Daniel Alejandro Rossit, Fernando Tohmé, Mariano Frutos

Int. J. Prod. Res., 2019

Production planning and scheduling in Cyber-Physical Production Systems: a review.

Daniel Alejandro Rossit, Fernando Tohmé, Mariano Frutos

Int. J. Comput. Integr. Manuf., 2019

A Big Data approach to forestry harvesting productivity.

Daniel Alejandro Rossit, Alejandro Olivera, Víctor Viana Céspedes, Diego Broz

Comput. Electron. Agric., 2019

2018

The Dominance Flow Shop Scheduling Problem.

Daniel Alejandro Rossit, Óscar C. Vásquez, Fernando Tohmé, Mariano Frutos, Martín D. Safe

Electron. Notes Discret. Math., 2018