A Mathematical Model To Predict The Quantity Of Defective Bottles In An Automated Bottle Washer Using Factorial Design Technique

ABSTRACT: Improper wash of reused bottles in beer and soft drink production plants can result in high cost of production and potentially dangerous health hazard to customers. It is shown that when machines are used over a period of time, they are not able to perform at their best, for which there are many root causes. This paper developed a mathematical model to predict and monitor the amount of Dirt Defect and Caustic Residue Defect in a washed bottle in a beverage bottling company. In this work, a 23 factorial design is applied to investigate the effect of Pressure, Temperature and Caustic soda concentration, on two washing responses namely: bottles with Caustic Residue Defect and bottles with Dirt Defect. A model was generated for the washing responses to the washing variables. The generated models can be used to aid the quality improvement and reliability in the washed bottles for the beverage companies in Ghana.

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