Proposition of an Implementation Framework Enabling Benchmarking of Holonic Manufacturing Systems

Abstract

Performing an overview of the benchmarking initiatives oriented towards the performance evaluation of Holonic Manufacturing Systems shows that there are very few of them. However, a comparison between all the isolated emulation developments for benchmarking in literature was made, and showed that many common features could be extracted. Several deadlocks for a generic approach of these developments are also exhibited. A global architecture dedicated to a generic performance evaluation platform design is suggested. This architecture integrates a scenario manager, whose main specificities were detailed and justified. Those features are meant to both integrate the best practices encountered in literature and fulfil the missing aspects to respond to the problematics.

Benchmarking Simulation Software Capabilities Against Distributed Control Requirements: FlexSim vs AnyLogic

“…Several studies described requirements to develop benchmarking testbeds [13], particularly using simulation [14], to assess the behavior and performance of distributed control architectures. In [15], a recent review of the benchmarking initiatives aimed at Holonic Manufacturing Systems performance assessment shows that very few of them exist. None of the above-mentioned references provides an analysis of the capabilities of available simulation software to meet requirements of distributed product driven control.…”

Industry 4.0: contributions of holonic manufacturing control architectures and future challenges

“…A benchmarking study of HCAs is then a crucial challenge to explore. However, evaluating the performance of HCAs is reputed to be a difficult task, as it requires a dynamic evaluation of the control system's response to predefined scenario (Cardin & L'anton, 2017;Trentesaux et al, 2013). For example, (Jovanović, Zupan, Starbek, & Prebil, 2014) studied the implementation of a HCA on a "green"-tyre-manufacturing system.…”

“…How to define a full set of scenarios that are representative of the diversity of systems encountered and objectives expected? A small number is already defined (Cardin & L'anton, 2017), but the number is too limited and they do not cover the whole scope of what could be expected.…”