scholarly journals Modelling and simulation of a flexible packaging system for detergents

2019 ◽  
Vol 299 ◽  
pp. 02009
Author(s):  
Florin Blaga ◽  
Alin Pop ◽  
Iulian Stănăşel ◽  
Voichiţa Hule ◽  
Claudiu Indre
Keyword(s):  
Petri Nets ◽  
Manufacturing System ◽  
Operating Mode ◽  
Simulation Method ◽  
Modelling And Simulation ◽  
Line System ◽  
Level Of Automation ◽  
Flexible Packaging ◽  
Automated Manufacturing System ◽  
High Level

The paper presents how an automated manufacturing system for the packaging of detergents can be modelled using Petri nets. The complexity of the Detergent Packing System and the high level of automation,require the use of efficient modelling and simulation methods to verify the validity of the solutions adopted. For this purpose, a modern modelling and simulation method based on Petri nets is used. The models associated with the system are developed into a hierarchical structure: the model of some modules in a line; the model of a line; system model as a whole. The model of a packing line consists of the following sub-modules corresponding to the modules of the line: filling the bags, grouping the bags in boxes, grouping the boxes in a row, palletizing, supplying with new empty pallets, full pallets evacuation. The six lines of the manufacturing system can work in various ways: they can pack detergent bags of the same mass or of different masses. Under these conditions, the operating mode is checked step by step, and the necessary adjustments can be done as to ensure continuous operation of the system without any blockages.

scholarly journals Confusion Control in Generalized Petri Nets Using Synchronized Events

2015 ◽  
Vol 2015 ◽  
pp. 1-23
Author(s):  
Xiaoliang Chen ◽  
Gaiyun Liu ◽  
Naiqi Wu ◽  
Abdulrahman M. Al-Ahmari ◽  
Abdulaziz Mohammed El-Tamimi ◽  
...  
Keyword(s):  
Petri Nets ◽  
Discrete Event Systems ◽  
Manufacturing System ◽  
Discrete Event ◽  
Control Algorithms ◽  
Automated Manufacturing ◽  
System Behavior ◽  
Conflicting Information ◽  
Automated Manufacturing System ◽  
And Control

The loss of conflicting information in a Petri net (PN), usually called confusions, leads to incomplete and faulty system behavior. Confusions, as an unfortunate phenomenon in discrete event systems modeled with Petri nets, are caused by the frequent interlacement of conflicting and concurrent transitions. In this paper, confusions are defined and investigated in bounded generalized PNs. A reasonable control strategy for conflicts and confusions in a PN is formulated by proposing elementary conflict resolution sequences (ECRSs) and a class of local synchronized Petri nets (LSPNs). Two control algorithms are reported to control the appeared confusions by generating a series of external events. Finally, an example of confusion analysis and control in an automated manufacturing system is presented.

scholarly journals Heuristics for the Buffer Allocation Problem with Collision Probability Using Computer Simulation

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Eishi Chiba
Keyword(s):  
Computer Simulation ◽  
Manufacturing System ◽  
Simulation Method ◽  
Collision Probability ◽  
Flat Panel Displays ◽  
Buffer Allocation ◽  
Flat Panel ◽  
Line System ◽  
Glass Substrates ◽  
In Series

The standard manufacturing system for Flat Panel Displays (FPDs) consists of a number of pieces of equipment in series. Each piece of equipment usually has a number of buffers to prevent collision between glass substrates. However, in reality, very few of these buffers seem to be used. This means that redundant buffers exist. In order to reduce cost and space necessary for manufacturing, the number of buffers should be minimized with consideration of possible collisions. In this paper, we focus on an in-line system in which each piece of equipment can have any number of buffers. In this in-line system, we present a computer simulation method for the computation of the probability of a collision occurring. Based on this method, we try to find a buffer allocation that achieves the smallest total number of buffers under an arbitrarily specified collision probability. We also implement our proposed method and present some computational results.

Manufacturing Plant for 1985—Developments and Justification

1982 ◽  
Vol 196 (1) ◽  
pp. 265-280 ◽  
Author(s):  
P J Sackett ◽  
K Rathmill
Keyword(s):  
Manufacturing System ◽  
Computer Modelling ◽  
Investment Decision ◽  
Level Of Automation ◽  
Investment Appraisal ◽  
Effective Operation ◽  
Computer Controlled ◽  
Manufacturing Techniques ◽  
High Level ◽  
Selection Of

Changes in manufacturing techniques and systems are out-dating traditional ways of assessing the selection of new plant. The engineer needs to consider the overall effect of the introduction of new equipment when making an investment appraisal. The paper reviews trends in manufacture with special reference to computer controlled batch manufacturing equipment and systems with a high level of automation. Methods of assessing these are discussed in detail including the use of computer modelling in arriving at an investment decision which considers the effective operation of the manufacturing system as a whole.

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

New Simplified Low Cost Simulation Method for SME Manufacturing System

2015 ◽  
Vol 9 (2) ◽  
pp. 206
Author(s):  
Tawfik Benabdallah ◽  
Nor Nait Sadi ◽  
Mustapha Kamel Abdi
Keyword(s):  
Manufacturing System ◽  
Low Cost ◽  
Simulation Method ◽  
Cost Simulation
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