A computer simulation system, which is based-siphon Petri net for control of concurrent processes of the reusable resources, that is mainly aimed to provide guidelines for control and management engineering of flexible manufacturing systems (FMSs) is presented in this work. We present an important technique for the analysis of siphon Petri net (PN) based on structural analysis, control, and sim...

This paper discusses the simulation study carried out for proposing one-piece lean line layout with features of Lean Manufacturing. The lean initiatives that can be addressed are, introducing Kanban replenishment sys-tem, better work-in-process, changing the layout, visual management techniques, standardized work for the re-duction of cycle time, number of workers, number of setups. To improve ...

Nowadays, flexible manufacturing systems play an effective role in a variety of production and timely response to the needs of their customers. Flexible manufacturing cell is a part of this system that includes machines with flexibility in manufacturing different parts. For many years, minimizing the number of tool switches in the machines has been studied by the researchers. Most research in t...

In this paper. Conserved nets which are a subclass of Petri nets is proposed to fa­ cilitate the modeling, analysis, and simulation of FMSs. Conserved nets ensure that a Petri net model has the conservativeness property. From the structural characteristics of Conserved nets, liveness conditions are easily obtained. While hardware compo­ nents of FMSs are modeled by using Conserved nets, high-le...

This paper illustrates the capacity of a stigmergic routing control model to automatically find efficient routing paths for active products in flexible manufacturing systems (FMSs) undergoing perturbations. The proposed model is based upon a functional architecture with two levels: a virtual level in which virtual active products (VAPs) evolve stochastically in accelerated time, and a physical ...

This paper proposes the application of Meta-Learning Evolutionary Artificial Neural Network (MLEANN) in selecting flexible manufacturing systems (FMS) from a group of candidate FMS’s. First, multi-criteria decisionmaking (MCDM) methodology using an improved S-shaped membership function has been developed for finding out the “best candidate FMS alternative” from a set of candidate-FMSs. The MCDM...

In flexible manufacturing systems (FMSs), the loading problem is considered as a vital pre-release decision because its operational effectiveness largely depends on a good quality solution to the loading problem. Difficulties arise in obtaining optimal solutions to such problems because of its combinatorial and NP-hard nature. In the past, numerous techniques have been suggested and found to be...