Creator:
Grosso, Juan M. ; Ocampo-Martinez, Carlos ; Puig, Vicenç
Contributor:
Korbicz, Józef - red. ; Uciński, Dariusz - red.
Title:
Group publication title:
Subject and Keywords:
model predictive control ; flow-based networks ; dynamic safety stocks ; actuator health ; service reliability ; chance constraints ; economic optimisation
Abstract:
This paper proposes a reliability-based economic model predictive control (MPC) strategy for the management of generalized flow-based networks, integrating some ideas on network service reliability, dynamic safety stock planning, and degradation of equipment health. The proposed strategy is based on a single-layer economic optimisation problem with dynamic constraints, which includes two enhancements with respect to existing approaches. ; The first enhancement considers chance-constraint programming to compute an optimal inventory replenishment policy based on a desired risk acceptability level, leading to dynamical allocation of safety stocks in flow-based networks to satisfy non-stationary flow demands. The second enhancement computes a smart distribution of the control effort and maximises actuators` availability by estimating their degradation and reliability. The proposed approach is illustrated with an application of water transport networks using the Barcelona network as the case study considered.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Type:
DOI:
Pages:
Source:
AMCS, volume 26, number 3 (2016) ; click here to follow the link