The Dominance Flow Shop Scheduling Problem. - Daniel Alejandro Rossit; Óscar C. Vásquez 001; Fernando Tohmé; Mariano Frutos; Martín D. Safe (Electron. Notes Discret. Math., 2018)

A Big Data approach to forestry harvesting productivity. - Daniel Alejandro Rossit; Alejandro Olivera; Víctor Viana Céspedes; Diego Broz (Comput. Electron. Agric., 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)

Industry 4.0: Smart Scheduling. - Daniel Alejandro Rossit; Fernando Tohmé; Mariano Frutos (Int. J. Prod. Res., 2019)

A data-driven scheduling approach to smart manufacturing. - Daniel Alejandro Rossit; Fernando Tohmé; Mariano Frutos (J. Ind. Inf. Integr., 2019)

Production Capacity Study in Footwear Production Systems Based on Simulation. - Florencia Dornes; Daniel Alejandro Rossit; Nancy B. López (ICPR-Americas (2), 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 001 (ICPR-Americas (2), 2020)

Simultaneous Lot-Sizing and Scheduling with Recovery Options: Problem Formulation and Analysis of the Single-Product Case. - Pedro Piñeyro; Daniel Alejandro Rossit (ICPR-Americas (2), 2020)

Modelling the Dynamics of a Digital Twin. - Marisa Analía Sánchez; Daniel Alejandro Rossit; Fernando Tohmé (ICPR-Americas (2), 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)

A combinatorial analysis of the permutation and non-permutation flow shop scheduling problems. - Daniel Alejandro Rossit; Óscar C. Vásquez 001; Fernando Tohmé; Mariano Frutos; Martín D. Safe (Eur. J. Oper. Res., 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)

Explicit Multiobjective Evolutionary Algorithms for Flow Shop Scheduling with Missing Operations. - Diego Gabriel Rossit; Daniel Alejandro Rossit; Sergio Nesmachnow (Program. Comput. Softw., 2021)

knowledge representation in Industry 4.0 scheduling problems. - Daniel Alejandro Rossit; Fernando Tohmé (Int. J. Comput. Integr. Manuf., 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 001 (Inf. Fusion, 2022)

Smart Industry Strategies for Shop-Floor Production Planning Problems to Support Mass Customization. - Diego Rossit; Daniel Alejandro Rossit; Sergio Nesmachnow (ICSC-Cities, 2023)

OR in digital production and logistics management. - Héctor Cancela 001; Fernando Tohmé; Pedro Piñeyro; Daniel Alejandro Rossit (Ann. Oper. Res., 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., 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., 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., 2023)

Effective heuristics for permutation and non-permutation flow shop scheduling with missing operations. - Marcus Ritt; Daniel Alejandro Rossit (Comput. Oper. Res., 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)

Enhancing Mass Customization Manufacturing: Multiobjective Metaheuristic Algorithms for Flow Shop Production in Smart Industry. - Diego Rossit; Daniel Rossit; Sergio Nesmachnow (SN Comput. Sci., 2024)

A constraint programming-based lower bounding procedure for the job shop scheduling problem. - Francisco Yuraszeck; Gonzalo Mejía; Daniel Alejandro Rossit; Armin Lüer-Villagra (Comput. Oper. Res., 2025)