A review of research in manufacturing prognostics

Abstract

With the fast changing global business landscape, manufacturing companies are facing increasing challenge to reduce cost of production, increase equipment utilization and provide innovative products in order to compete with countries with low labour cost and production cost. On of the methods is zero down time. Unfortunately, the current research and industrial solution does not provide user friendly development environment to create “Adaptive microprocessor size with supercomputer performance” solution to reduce downtime. Most of the solutions are PC based computer with off the shelf research software tools which is inadequate for the space constraint manufacturing environment in developed countries. On the other hand, to develop solution for various manufacturing domain will take too much time, there is lacking tools available for rapid or adaptive way of create the solution. Therefore, this research is to understand the needs, trends, gaps of manufacturing prognostics and defines the research potential related to rapid embedded system framework for prognostic.

Publication DOI: https://doi.org/10.1109/INDIN.2006.275836
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Event Title: 2006 IEEE International Conference on trial Informatics
Event Type: Other
Event Dates: 2006-08-16 - 2006-08-18
Uncontrolled Keywords: condition based maintenance,maintenance,prognostics,prognostics health monitoring
ISBN: 0-7803-9700-2, 0-7803-9701-0
Last Modified: 06 Dec 2024 08:34
Date Deposited: 06 Feb 2013 11:12
Full Text Link:
Related URLs: http://ieeexplo ... rnumber=4053424 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2006
Authors: Goh, K.M.
Tjahjono, Benny
Baines, Tim (ORCID Profile 0000-0002-7518-2967)
Subramaniam, S.

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Version: Accepted Version


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