Modelling tool for solving manufactoring system dysfunction in rubber seed oil based alkyd resin preparation

  • T. B. Adeleke
  • S. I. Ukwuaba
  • P. O. Akpaka
Keywords: Opinion discrimination analysis, discriminative power, manufacturing system dysfunction, rubber seed oil, alkyd resin

Abstract

Variability in production output, low quality, wastes, and downtimes are serious production problems which manufacturers of alkyd resin product are facing and it invariably affect manufacturers’ economic performance and the nation economic growth which are often caused by differences in process temperatures and length of the resin. There is a strong incentive in controlling the end of the batch product property values so as to minimize the variability in product quality. This study seeks to investigate the relationship among variables capable of affecting the production process output of rubber seed oil based alkyd resin. A random survey of relevant literature was conducted to gather relevant information required that are capable of causing a dysfunction in the manufacturing process of rubber seed oil based alkyd resin for use in anti-corrosion paint application. The sensitivity and versatile applicability of opinion discrimination analysis as an off-line tool for dealing with these types of problems was apt. Our result showed that there is a strong relationship between temperature, catalyst, absence of catalyst, length of resin, acidic content, water resistance which can be manipulated to appreciably reduce product degradation and control process variability. Moreover, we showed that opinion discrimination analysis modelling tool can be used to determine the need to understand production process approach for alkyd resin. The study has ably demonstrated that opinion discrimination analytical modelling tool is very effective in fault diagnosis.

Keywords: Opinion discrimination analysis, discriminative power, manufacturing system dysfunction, rubber seed oil, alkyd resin

Section
Articles

Journal Identifiers


eISSN: 2467-8821
print ISSN: 0331-8443