نتایج جستجو برای: production strategies machine monitoring maintenance decision tools

تعداد نتایج: 2082137  

2005
SEUNG WOO LEE DONG HOON KIM JUN YEOB SONG

In order to implement artificial intelligence, various technologies have been widely used. Artificial Intelligence is applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. The purpose of this paper is to present the design of Decision Support Agent that is applicable to machine tools. This system is that decision whe...

Development of an optimized strategy for the maintenance of Iranian railway track maintenance in a form of management system was made in this research. Through reviewing the current maintenance management system in the USA, Europe and Asia as well as investigating the characteristics of railway structure and current maintenance approaches in Iran, a new algorithm was made in order to improve ef...

2012
G. Reinhart J. Pohl

Manufacturing companies are facing a broad variety of challenges caused by a dynamic production environment. To succeed in such an environment, it is crucial to minimize the loss of time required to trigger the adaptation process of a company’s production structures. This paper presents an approach for the continuous monitoring of production structures by neurologic principles. It enhances clas...

Journal: :IJMR 2011
Fatima Benbouzid-Sitayeb Sid Ali Guebli Yassine Bessadi Christophe Varnier Noureddine Zerhouni

Usually, scheduling of maintenance operations and production sequencing are dealt with separately in the literature and, therefore, also in the industry. Given that maintenance affects available production time and elapsed production time affects the probability of machine failure, this interdependency seems to be overlooked in the literature. This paper presents a comparative study on joint pr...

2015
Wu Guoqing

High-precision machine tools are important equipment of production line in general [1]. However, there has been more difficult on failure prediction and maintenance of its spindle bearings. There are no timely replacement of the bearing when the failure occurs will result in decreased equipment utilization. This paper designed a set of bearing failure prediction system based on LabVIEW programm...

2002
Luis Rene Contreras Chirag Modi Arunkumar Pennathur

This paper presents results from a case study in predictive maintenance at a distribution warehouse. A simulation model was built with ARENA 5.0 for integrating predictive maintenance strategies with production planning strategies, for a conveyor system. Equipment health was monitored using condition-based parameters such as temperature and vibration for mechanical and electrical components su...

Journal: :Advances in Mechanical Engineering 2022

In view of the trend towards Industry 4.0, intelligent predictive monitoring and decision-making processes have become a crucial requirement in today’s manufacturing industries to safeguard data exchange industrial assets from damage that would thus prevent achievement overall company goals. For enhanced reliability safe operation machines, frequent maintenance process equipment linked auxiliar...

Journal: :Computers in Industry 2006
W. J. Moore A. G. Starr

A key aspect of competition in industrial maintenance is the trade-off between cost and risk. Decision making is dependent upon up-to-date information about distributed and disparate plant, coupled with knowledge of sensitive non-technical issues. Enabling technologies such as the internet are making strides in improving the quantity and quality of data, particularly by improving links with oth...

Journal: :Computers & Industrial Engineering 2004
Jean-Pierre Kenné Ali Gharbi

We consider a production control problem in a manufacturing system with failure-prone machines and a constant demand rate. The objective is to minimise a discounted inventory holding and backlog cost over an infinite planning horizon. The availability of the machines is improved through a corrective maintenance strategy. The decision variables are the production and the machine repair rates, wh...

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