Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges

Abstract

International audienceNowadays, industrials are seeking for models and methods that are not only able to provide efficient overall production performance, but also for reactive systems facing a growing set of unpredicted events. One important research activity in that field focuses on holonic/multi-agent control systems that couple predictive/proactive and reactive mechanisms into agents/holons. Meanwhile, not enough attention is paid to the optimization of this coupling. The aim of this paper is to depict the main research challenges that are to be addressed before expecting a large industrial dissemination. Relying on an extensive review of the state of the art, three main challenges are highlighted: the estimation of the future performances of the system in reactive mode, the design of efficient switching strategies between predictive and reactive modes and the design of efficient synchronization mechanisms to switch back to predictive mode. indicator of the production system, discrete-event observer, flexible manufacturing system

CoMM: a consensus algorithm for multi-agent-based manufacturing system to deal with perturbation

“…Jimenez et al [4], for instance, have confirmed the difficulty of synchronization of the level of autonomy of contributing entities. Therefore, further exploration on different MAS based control algorithm that help synchronize these agents and hence create robust system with respect to time-variant communications is becoming another research area [36]. And to the best of author(s) knowledge, the consensus algorithm from consensus theory has rarely been adapted to decision making algorithm or not yet implemented in flexible manufacturing systems (FMS).…”

A switching mechanism framework for optimal coupling of predictive scheduling and reactive control in manufacturing hybrid control architectures

“…As mentioned in Cardin et al (2015), the shortcoming of these approaches is centred on the way the coupling of prediction and reaction is neither optimised nor justified. In this respect, we think that there are three limitations in the existing literature.…”

Formal Scheduling Method for Zero-Defect Manufacturing

“…This is not a methodology that can be used in ZDM oriented Decision Support Systems (DSS). Performance analysis of predictive-reactive rescheduling in dynamic environment is still open problem (Cardin et al, 2017).…”