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Zeitschrift

Journal of Intelligent Manufacturing

Journal of Intelligent Manufacturing OnlineFirst articles

14.12.2017

Optimal control model for finite capacity continuous MRP with deteriorating items

A general model for continuous material requirements planning problem is proposed which contains of reworking of returned items along with deterioration of items. In the proposed model there are separated stocks for manufactured, returned and …

13.12.2017

Fault diagnosis strategy of CNC machine tools based on cascading failure

To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is …

30.11.2017

Ontology for cloud manufacturing based Product Lifecycle Management

The manufacturing environment has become increasingly competitive in the past few years, and product development is getting even more complex. The agility of an information system is a way to manage this complexity, and cloud technologies enable …

27.11.2017

RT-OPTICS: real-time classification based on OPTICS method to monitor bearings faults

The complexity of the current installations requires advanced and effective monitoring techniques. The most commonly used technique is the vibratory analysis. Despite the large number of existing methods for detection, diagnosis and monitoring of …

25.11.2017

Impacts of wireless sensor networks strategies and topologies on prognostics and health management

In this article, we used wireless sensor network (WSN) techniques for monitoring an area under consideration, in order to diagnose its state in real time. What differentiates this type of network from the traditional computer ones is that it is …

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Über diese Zeitschrift

Published bimonthly, the Journal of Intelligent Manufacturing provides a unique international forum for developers of intelligent manufacturing systems. By publishing quality refereed papers on the application of artificial intelligence in manufacturing, the Journal provides a vital link between the research community and practitioners in industry.

In addition to research papers, the Journal of Intelligent Manufacturing features articles on new methodologies and developments, case studies, surveys, and tutorials on topics related to product design, manufacturing, and service systems. Papers in emerging areas such as biomanufacturing, nanotechnology, and energy are welcome. Periodically special issues on topics of interest to the readership are published.

Officially cited as:

J Intell Manuf

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