Modelling of high throughput production lines by using generic models described in batches Petri nets

Abstract

In order to optimise high throughput production lines, a modelling of the physical part must be carried out to simulate these production lines. In this note, a modelling, using generic models which each represents a behaviour described in Batches Petri net, is presented. Thus, to model a production system, functional models, which represent the digerent elements of the operative part of these system, are instanced @om existing generic models and then are assembled for forming the complete model.

Fluid-based simulation approach for high volume conveyor transportation systems

“…Weights are associated with flow intensity or fractions from different sources. 4) 3 : b c P → ℜ is referred to as "characterized batch function". It is associated with every batch place, the characteristics of length, driving speed and maximum density.…”

“…The formula is similar to that of processor share merge case. 3,7,8,9,10,11,12,13,14,25 OICB generated at p 3 ,p 9 ,p 13 ,p 17 1.664 1,2,3,4,6,8,9,10,11,12,13,14,25 1.767 1,2,3,4,6,8,9,10,11,13,14,25, OICB of p 15 becomes null 1. 8 1,2,3,4,6,8,9,10,11,14, …”

Dynamics and steady state analysis of controlled Generalized Batches Petri Nets

“…Since its first definition, several extensions of batches Petri nets have been developed: Controlled BPN [2] where maximal transfer speeds and maximal flows may change during the dynamics; Colored BPN [4]; Generalized BPN [7]; Stochastic BPN [26]; Extended BPN [18] and BPN with controllable batch speed [8]. These models or variants of them are appropriate for describing high throughput production lines and conveyor belts [1,4,26,25], transmission delay on a communication media with bus topology [23], interlocking system design for ERTMS/ETCS [13], multimodal systems [18] or transportation networks [8].…”