Simulation of a Flexible Manufacturing System for Semi-Products Packaging

In this paper one proposed to exemplify a modern solution of an automatic control of industrial production lines. The necessity to align at the requirements of industrial competition has led to a degree of automation of increasingly advanced that the human intervention into the processes is minimal. A high productivity means lower flow interruptions as manufacturing, so the systems which control these lines must operate without errors. This can be done only by testing control programs and monitoring automation systems and, also, through simulate the manufacturing process.

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Stochastic Design Exploration with Rework of Flexible Manufacturing System Under Copula-Coverage Approach

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s0218539318500079 ◽

2018 ◽

Vol 25 (02) ◽

pp. 1850007 ◽

Cited By ~ 1

Author(s):

Mangey Ram ◽

Nupur Goyal

Keyword(s):

System Reliability ◽

Flexible Manufacturing ◽

Manufacturing Systems ◽

Manufacturing Industry ◽

Manufacturing System ◽

Flexible Manufacturing System ◽

Reliability Measures ◽

High Productivity ◽

Reliability Characteristics ◽

Production Environments

Manufacturing systems are increasingly becoming automated and complex in nature. Highly reliable and flexible manufacturing systems (FMSs) are the necessity of manufacturing industries to fulfill the increasing customized demands. Worldwide, FMSs are used in industries to attain high productivity in production environments with rapidly and continuously changing manufactured goods structures and demands. Reliability prediction plays a very significant role in system design in the manufacturing industry, and two crucial issues in the prediction of system reliability are failures of equipment and system configuration. This novel work presents a stochastic model to analyze the performance of an FMS through its reliability characteristics, in the concern of its equipment. To improve the reliability of FMS, determine the sensitivity of the reliability measures of FMS. FMS consists of many components such as machine tools like CNC, automatic handling and material storage, controller and robot for serving load. The designed system is studied by using the Markov process, supplementary variable technique, Laplace transformation, coverage factor and Gumbel–Hougaard family copula to obtain various reliability measures. For some realistic approach, particular cases and graphical illustrations are also obtained.

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Modeling and Analysis of Processing Flow in a Flexible Manufacturing System Using Synchronized Petri Nets

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.809-810.1474 ◽

2015 ◽

Vol 809-810 ◽

pp. 1474-1479 ◽

Cited By ~ 1

Author(s):

George Culea ◽

Ion Cristea ◽

Petru Gabriel Puiu

Keyword(s):

Petri Nets ◽

Flexible Manufacturing ◽

Material Handling ◽

Manufacturing System ◽

Flexible Manufacturing System ◽

Modeling And Analysis ◽

Threshold Test ◽

Wireless Module ◽

Modern Solution ◽

Processing Flow

This paper presents the modeling and analysis of processing flow in a flexible manufacturing system. We considered the case of a flexible manufacturing system consists of three machining centers MC1, MC2, MC3 and two material handling system which assure parts loading and discharge, respectively. The parts incorporate an Arduino system with XBee wireless module. These embedded systems connected through a network wireless can allow easy identification of parts, easy identification of their position, of performed operations, ensuring optimal guiding pallets. In order to be able to model all the requirements imposed were used synchronized Petri nets with inhibiting arcs and with threshold test. Developed model aims to optimize parts flow, under the conditions in which MC1 and MC3 have a buffer for 3 parts and MC2 have a buffer for 4 parts, respectively. By implementing a wireless ZigBee network for the control of parts movement it provides a modern solution by which central control system will know the position of every intelligent parts and will be able change the flow of processing according to unpredictable circumstances. FMS modeling is useful both in the design to implementation of the program which controls material movements and machine flow, as well as part of exploitation, providing a clear view of FMS functioning. By that model verified through simulation it was able to optimize the flow of parts, so as that there are no blockage in the flow of manufacturing. The study allows software implementation of control systems for the FMS.

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Optimal enforcement of liveness to flexible manufacturing systems modeled with Petri nets via transition-based controllers

Advances in Mechanical Engineering ◽

10.1177/1687814017750707 ◽

2018 ◽

Vol 10 (1) ◽

pp. 168781401775070 ◽

Cited By ~ 5

Author(s):

Muhammad Bashir ◽

Ding Liu ◽

Murat Uzam ◽

Naiqi Wu ◽

Abdulrahman Al-Ahmari ◽

...

Keyword(s):

Petri Nets ◽

Flexible Manufacturing ◽

Flexible Manufacturing Systems ◽

Manufacturing Systems ◽

Manufacturing System ◽

Flexible Manufacturing System ◽

Control Technique ◽

Controlled System ◽

High Productivity ◽

Full Utilization

This article reports a transition-based control technique to prevent deadlocks for flexible manufacturing systems that can be modeled with a generalized class of Petri nets. The proposed method utilizes the structural properties of the Petri net model to avoid the computation of its reachability graph which in general leads to the state explosion problem. Three algorithms are developed. The first and second algorithms aim to compute first-met and n-met uncontrolled transitions, respectively, in an iterative manner until all the n-met uncontrolled transitions are found in the plant net model. The third algorithm is used to design n-transition controllers iteratively. The iteration terminates when all the transitions in the set of uncontrolled transitions are processed. The addition of the n-transition controllers to the plant net model is to make the n-met uncontrolled transitions controlled. The transition controllers are capable of enforcing liveness to the plant net model with all its reachable markings being retained in the controlled system, which ensures the full utilization of resources and provides the high productivity of a flexible manufacturing system.

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