Díaz-Madroñero Boluda, Francisco Manuel; Peidro Payá, David; Mula, Josefa(Universidad Politécnica de Madrid, 2012-04)
[EN] In this paper, we propose a new fuzzy multi-objective linear programming model (FMOLP) for the supply chain operational transport planning problem that considers simultaneously the fuzziness in the aspiration levels ...
En el siguiente objeto de aprendizaje se define en qué consiste la política monetaria y la estabilidad de precios, así como su relación con la inflación.
Vázquez Montalvá, Salvador(Universitat Politècnica de València, 2019-10-30)
[ES] El presente proyecto versa acerca de la homologación a través de la actual normativa WLTP y RDE de los motores que se van a vender en un futuro cercano. Dicha normativa establece los valores aceptados para los niveles ...
[EN] The objective of this paper is to examine the use and applications of reinforcement learning (RL) techniques in the production planning and control (PPC) field addressing the following PPC areas: facility resource ...
[EN] n the field of logistics and transportation (L&T), this paper reviews the utilization of simheuristic algorithms to address NP-hard optimization problems under stochastic uncertainty. Then, the paper explores an ...
[EN] Stochastic, as well as fuzzy uncertainty, can be found in most real-world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging. In this paper we propose a ...
In this paper, we consider the transportation planning decision (TPD) problem with fuzzy goals, available supply and forecast demand. An interactive method is designed for solving the multi-objective TPD problem where the ...