A Novel Approach for Mobile Maintenance Using Mobile Agents Technology and Mobile Devices

Author:

Abid Khadija1,Mouss L. Hayet1,Kazar Okba2,Kahloul Laid2

Affiliation:

1. LAP Laboratory, Engineering Department Industrial, Batna University, Batna 05000, Algeria

2. LINFI Laboratory, Computer Science Department, Biskra University, Biskra 07000, Algeria

Abstract

The long use of a system causes its degradation. Hence, the maintenance activity is required in order to keep and improve the efficiency in the system. With the rapid development in networking technology, a need appears to change the manufacturing strategies. These new technologies improve the maintenance process, and establish remote maintenance (tele-maintenance, e-maintenance and m-maintenance). These kinds of maintenance try to provide personnel maintenance with the right information at the suitable time, which makes information available, anywhere and anytime. Our proposition is the use of mobile agent technology to reduce the maintenance costs and solve the problem of the unavailability of an expert in all phases of condition-based maintenance (CBM) strategy. The mobile agent technology overcomes a lot of problems and there is not much work that has used this technology. We have also used the web services (WS) to insure interoperability between machines and to support interaction over the network. Our approach gives great support to the maintenance engineer as it facilitates the access to decision-making support, work order, etc. which are available in the device like smartphone. This paper presents the development of a mobile maintenance support system based on mobile agent technology. The proposed system, the web and agent technology as well as remote communication were tested successfully.

Publisher

World Scientific Pub Co Pte Lt

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Text Mining Approach Agent-Based DSS for IT Infrastructure Maintenance;International Journal of Decision Support System Technology;2021-07

2. Emission-Dependent Production for Environment-Aware Demand in Cap-and-Trade System;Journal of Advanced Manufacturing Systems;2017-02-06

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