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A design and analysis strategy for situations with uncontrolled raw material variation

A design and analysis strategy for situations with uncontrolled raw material variation.

KjetilJrgensen1*andTormodNs2 1TINEBA,CenterforR&D,POBox50,N-4358Kleppe,Norway 2Matforsk,Osloveien1,N-1430—s,Norway

Received 15 February 2003; Revised 9 January 2004; Accepted 9 January 2004

DOE 28

Abstract

To be able to control an industrial process, it is necessary to know the relationship between raw materials, process settings and end-product results.

In many situations the raw materials are highly complex and dif?cult to vary in a systematic way.

This makes the use of standard experimental design techniques with a systematic variation in the variables dif?cult.

To solve this, one might measure the raw materials at hand, but then the problem is to know what to measure.

In this paper we present a general approach for such situations based on an experimental design in factors that are possible to control, a set up of raw material in blocks in combination with multivariate measurements (using FT-IR) of the raw material.

To analyse the results, we include these measurements as principal components of the spectra.

The usefulness of the approach is demonstrated with an example from cheese production.

It is shown that it is possible to obtain a model for the amount of ‘cheese ?nes’ (a yield loss parameter) based on this approach.

The ?nal model contains readily measurable information about the raw materials but is obtained without any prior hypothesis about their contribution. Copyright # 2004 John Wiley & Sons, Ltd.

 

Keywords:

experimental design; raw materials; multivariate measurements; process control; process modelling; FT-IR, cheese, cheese ?nes

 
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