Computerized Maintenance Management System for Food Processing Industries

M.A., Burhanuddin and A.R., Ahmad and M.I., Desa and M.Y., Zeratul (2007) Computerized Maintenance Management System for Food Processing Industries. Reach Conference 2007. pp. 141-147. ISSN 1

[img]
Preview
HTML
REACH07.pdf

Download (38MB)
[img]
Preview
HTML
REACH07.pdf

Download (38MB)
[img] PDF (Conference Paper)
REACH07.pdf - Published Version
Restricted to Registered users only until 31 December 2200.
Available under License Creative Commons Attribution No Derivatives.

Download (38MB)

Abstract

Breakdown define as total amount of time the equipment would normally be out of operation from the moment it fails until the moment it is fully repaired and operational. Depending on these nature of the breakdown, some maintenance activities may take place before the service is restored into their normal operation. Downtimes of productions unit may result capacity loss, poor product quality, customer dissatisfaction and environmental impact. In fact, these downtimes can be forecasted and managed more effectively if an organization takes preemptive measures using artificial intelligence techniques such as data mining, neural networks, genetic algorithm etc. This will provide good estimate to predict next failures. The proposed research project reveals the risk factors that either delay or accelerate downtimes. It also demonstrates the extent of such delay, attributable to specific risk factors. Once risk factors are detected, the maintenance managers are aware of the starting and finishing points for each maintenance job due to their prior knowledge about the potential barriers or covariates. We develop a prototype of the Computerized Maintenance Management System (CMMS) as a tool for maintenance management team, which consist of work order, preventive maintenance, corrective maintenance and inventory control system.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User: Prof. Madya Dr. Burhanuddin Mohd Aboobaider
Date Deposited: 24 Feb 2014 00:03
Last Modified: 28 May 2015 04:17
URI: http://eprints.utem.edu.my/id/eprint/11456
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item