A Constraint Programming Approach to Tool Allocation and Resource Scheduling in FMS. - Oscar Quiroga; Luis Zeballos; Gabriela P. Henning (ICRA, 2005)

A Constraint Programming Approach to FMS Scheduling. Consideration of Storage and Transportation Resources. - Luis Zeballos; Gabriela P. Henning (Inteligencia Artif., 2005)

A constraint programming model for the scheduling of flexible manufacturing systems with machine and tool limitations. - Luis Zeballos; Oscar Quiroga; Gabriela P. Henning (Eng. Appl. Artif. Intell., 2010)

A CP formulation for scheduling multiproduct multistage batch plants. - Luis Zeballos; Juan M. Novas; Gabriela P. Henning (Comput. Chem. Eng., 2011)

Addressing the uncertain quality and quantity of returns in closed-loop supply chains. - Luis Zeballos; Maria Isabel Gomes Salema; Ana Paula F. D. Barbosa-Póvoa; Augusto Q. Novais (Comput. Chem. Eng., 2012)

Multi-period design and planning of closed-loop supply chains with uncertain supply and demand. - Luis J. Zeballos; Carlos A. Méndez; Ana Paula F. D. Barbosa-Póvoa; Augusto Q. Novais (Comput. Chem. Eng., 2014)

Integrating decisions of product and closed-loop supply chain design under uncertain return flows. - Luis J. Zeballos; Carlos A. Méndez; Ana Paula F. D. Barbosa-Póvoa (Comput. Chem. Eng., 2018)

Mixed-integer linear programming approach for product design for life-cycle profit. - Luis J. Zeballos; Carlos A. Méndez; Ana Barbosa-Póvoa (Comput. Ind. Eng., 2019)

Approach for improving the life-cycle profit exploding remanufacturing conditions. - Luis J. Zeballos (Comput. Ind. Eng., 2021)

Supply chain design and planning for the carpet industry considering recycling processes. - Agustina Franco; Pablo A. Marchetti; Carlos A. Méndez; Luis J. Zeballos (Comput. Chem. Eng., 2023)

A MILP-based approach to address the production and distribution planning of large industrial gas supply chains. - Sergio G. Bonino; Luis J. Zeballos; Akash Moolya; José M. Laínez-Aguirre; José Mauricio Pinto; Ignacio E. Grossmann; Carlos A. Méndez (Comput. Chem. Eng., 2025)