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Listar por palabra clave "Mixed-integer linear programming"

Mostrando ítems 1-5 de 5

Conceptual and optimisation modelling for lean supply chain planning in Industry 4.0

Reyes Vásquez, John Paul (Universitat Politècnica de València, 2025-03-25)

[ES] La innovación en los métodos de trabajo con nuevos sistemas de producción ajustados, sostenibles y resilientes, así como la gestión tecnológica eficaz son las tendencias actuales para mejorar el rendimiento en las ...
Integrating forward and reverse logistics network for commercial goods management. An integer linear programming model proposal

Ponce-Cueto, Eva; Molenat Muelas, Melisa (Editorial Universitat Politècnica de València, 2015-01-30)

[EN] In this study, an optimization model is formulated for designing an integrated forward and reverse logistics network in the consumer goods industry. The resultant model is a mixed-integer linear programming model ...
Optimising the Analysis Stage in the Internationalisation of Manufacturing Operations

Comer, F.; Mula, Josefa; Díaz-Madroñero Boluda, Francisco Manuel; Grillo, H. (Stellenbosch University - South African Journal of Industrial Engineering, 2021-08)

[EN] The internationalisation of the manufacturing operations process includes decision-making about new facility implementation (NFI) and global supplier network development (GSND), whose first step is to analyse the ...
Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0

Reyes, John; Mula, Josefa; Díaz-Madroñero Boluda, Francisco Manuel (Taylor & Francis, 2024-09-01)

[EN] Validated quantitative models for lean supply chain planning (LSCP) are still scarce in the literature, particularly because conventional push systems have not been widely integrated and tested with pull systems in ...
Two-Scale Model Predictive Control for Resource Optimization Problems With Switched Decisions

Balaguer-Herrero, Pedro; Alfonso-Gil, José Carlos; Martínez-Márquez, Camilo Itzame; Martínez-Navarro, German; Orts-Grau, Salvador; Segui-Chilet, Salvador (Institute of Electrical and Electronics Engineers, 2022)

[EN] Model predictive control (MPC) is widely used in resource optimization problems because it naturally deals with bounded controls and states and allows predictive information to be included. However, at each sampling ...