2020 ◽  
Vol 53 (4) ◽  
pp. 143-150
Author(s):  
Gabriel Freitas Oliveira ◽  
Renato Markele Ferreira Candido ◽  
Vinicius Mariano Gonçalves ◽  
Carlos Andrey Maia ◽  
Bertrand Cottenceau ◽  
...  

2018 ◽  
Vol 26 (3) ◽  
pp. 265-275 ◽  
Author(s):  
Dae S Chang ◽  
Sang C Park

A manufacturing system consists of various manufacturing devices, and each device has a set of tasks which are triggered by specific commands. Traditionally, simulation has been considered as an essential technology for the evaluation and analysis of manufacturing systems. Although discrete event system specification formalism has been a popular modeling tool for manufacturing systems, it has limitations in describing situations such as sudden cancelation of tasks. Proposed in this article is an extended discrete event system specification formalism for the effective description of a smart factory which requires the intelligence to handle turbulences in real-time production. The extended discrete event system specification formalism incorporates the configuration space concept, which is well-known in classical mechanics. While the conventional discrete event system specification formalism uses only the logical states set to represent the device states, the proposed formalism employs the combination of two sets: a logical states set (sequential states set) and a physical states set (configuration space of the device). As a result, the extended formalism enables the effective description of nondeterministic tasks which may occur frequently in a smart factory.


2012 ◽  
Vol 4 ◽  
pp. 80-85 ◽  
Author(s):  
Xing Long Pan ◽  
Guo He ◽  
Chao Jie Zhang ◽  
Ting Feng Ming ◽  
Xiao Chuan Wang

A framework of modeling and simulating a typical artificial system is proposed based on discrete event system and Petri net. Firstly, the system model is constructed based on discrete event system theory. Secondly, the model is described and analyzed by using Petri net. Then, the simulation procedures on Matlab platform are presented in detail. The proposed framework is applied to modeling and simulating a logical control system of a marine diesel engine. The simulation results indicate that this logical control system model can be constructed by the given framework and the proposed method is effective in simulating and analyzing this kind of artificial system.


Author(s):  
A M Farid ◽  
D C McFarlane

In recent years, many design approaches have been developed for automated manufacturing systems in the fields of reconfigurable manufacturing systems (RMSs), holonic manufacturing systems (HMSs), and multi-agent systems (MASs). One of the principle reasons for these developments has been to enhance the reconfigurability of a manufacturing system, allowing it to adapt readily to changes over time. However, to date, reconfigurability assessment has been limited. Hence, the efficacy of these design approaches remains inconclusive. This paper is the first of two in this issue to address reconfigurability measurement. Specifically, it seeks to address ‘reconfiguration potential’ by analogy. Mechanical degrees of freedom have been used in the field of mechanics as a means of determining the independent directions of motion of a mechanical system. By analogy, manufacturing degrees of freedom can be used to determine independent ways of production. Furthermore, manufacturing degrees of freedom can be classified into their production and product varieties. This paper specifically focuses on the former to measure the product-independent aspects of manufacturing system ‘reconfiguration potential’. This approach will be added to complementary work on the measurement of ‘reconfiguration ease’ so as to form an integrated reconfigurability measurement process described elsewhere [1—5].


2017 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Ahmad Khosravi ◽  
Kourosh Holakouie-Naieni ◽  
Mohammad Ali Mansournia ◽  
Mahmood Mahmoodi ◽  
Ali Akbar Pouyan

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