Modeling and Multi-scale Simulation Method Combining Facility Action and Compressed Air Supply in Manufacturing System

Material handling is one of major components in Flexible Manufacturing System (FMS). Any improvement of material handling capability is to affect the performance of the whole system. This paper discusses the simulation study on the effect of part arrival rate and dispatching rules to the average waiting time and production rate of the FMS. The facilities of the system were modeled into simulation environment by using Arena Simulation Software. The production parameters such as machine processing times, part transportation speed and type of products were put into the model to represent the behaviors of the real system. Two rules have been considered in the study, i. e. first come first served (FCFS), and shortest processing time (SPT). Average waiting time and productivity were taken into account as performance measures of the system. The result of the study showed that SPT rule gives shorter average waiting time and higher productivity. Based on this result, the SPT rules would be used to control part transporter in order to have a better performance of the FMS.

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An Expanded Multi-scale Monte Carlo Simulation Method for Personalized Radiobiological Effect Estimation in Radiotherapy: a feasibility study

Scientific Reports ◽

10.1038/srep45019 ◽

2017 ◽

Vol 7 (1) ◽

Cited By ~ 2

Author(s):

Ying Zhang ◽

Yuanming Feng ◽

Wei Wang ◽

Chengwen Yang ◽

Ping Wang

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Feasibility Study ◽

Simulation Method ◽

Monte Carlo Simulation Method ◽

Multi Scale ◽

Effect Estimation

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Breathe safely from any compressed air supply

Filtration + Separation ◽

10.1016/s0015-1882(96)91328-2 ◽

1996 ◽

Vol 33 (5) ◽

pp. 372

Keyword(s):

Compressed Air ◽

Air Supply

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Using the Simulation Method for Modelling a Manufacturing System of Predictive Maintenance

Advances in Intelligent Systems and Computing - Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions ◽

10.1007/978-3-030-23946-6_7 ◽

2019 ◽

pp. 57-64

Author(s):

Sławomir Kłos ◽

Justyna Patalas-Maliszewska

Keyword(s):

Manufacturing System ◽

Simulation Method ◽

Predictive Maintenance

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Modelling and simulation of a flexible packaging system for detergents

MATEC Web of Conferences ◽

10.1051/matecconf/201929902009 ◽

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.

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