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2012 (Vol. 4, Issue: 23)
Article Information:

Transfer Function Modelling as a Tool for Solving Manufacturing System Dysfunction

A.C. Igboanugo and C.C. Nwobi-Okoye
Corresponding Author:  A.C. Igboanugo 

Key words:  Maintenance , manufacturing dysfunction, process noise, production process, transfer function, ,
Vol. 4 , (23): 4948-4953
Submitted Accepted Published
December 02, 2011 January, 10, 2012 December 01, 2012

Wastes, poor quality products and downtimes are serious problems usually encountered during production which are often caused by ineffective maintenance and improper determination of process capability. The sensitivity and versatile applicability of transfer function modelling as an off-line tool for dealing with these types of problems is discussed. This study seeks to investigate the relationship among process variability, maintenance, process noise and controlled output in relation to the transfer function characteristics. A conceptual model of single-input-single-output production system, considering maintenance as one of the inputs, was developed and the transfer function synthesised. A random survey of twenty firms in Nigeria was conducted and the outcomes suggest that maintenance and related production variables contribute significantly to degraded output and process variability. Our result showed that there is a strong relationship between the ratio of controller output θ(s) and process noise θe(s), on the one hand and the transfer function characteristics namely k and τR, which can be manipulated to appreciably reduce product degradation and control process variability. Moreover, we showed that transfer function characteristics can be used to determine the need for process facilities maintenance. The study has ably demonstrated that transfer function is very effective in fault diagnosis.
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  Cite this Reference:
A.C. Igboanugo and C.C. Nwobi-Okoye, 2012. Transfer Function Modelling as a Tool for Solving Manufacturing System Dysfunction.  Research Journal of Applied Sciences, Engineering and Technology, 4(23): 4948-4953.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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