Human Aspects of the Measurement System Analysis

Open Access
Article
Conference Proceedings
Authors: Magdalena DieringAgnieszka Kujawińska

Abstract: Quality control in manufacturing process means checking the consistency of the process or product with the internal or external customer requirements. Most often it is done by direct measurement or observation. The main objective of the quality control is to increase the chance that the product (process) is free from defects when passing it on further stages of the production process or on to use. It is difficult to find the type of industry, which is not performed by the demands resulting from quality control. In many industries, quality control plays a special role, especially where the manufacturing outcome is important for the client. The pharmaceutical and medical industries are examples of a situation in which quality status of manufacturing process has a direct impact on the patients health and even – in some cases – their lives. Alternative control is a special case of quality control. It can be performed by measuring or checking and classifying the object (product) into one of a number of states (in the specific case – into one of two, for example: good/bad or OK/No OK). Alternative quality control may be carried out with – for example – use of specialized equipment that automatically classify the items (for example, with use of machine with pattern recognition module to verify circuit boards or machine for printing color evaluation) or with the use of human senses (as visual control, control), man knowledge and his experience (know-how). To assure that quality control of manufacturing is a reliable process and its outcomes are on accepted level, measurement system must be evaluated (variation of the measurement system should be known and accepted). There are many procedures to assess the capability and reliability of measurement system. The most common and widely used procedure to assess alternative measurement system is – on the base of authors experience – KAPPA method. It allows to assess the impact of factors such as: human factors, instrument/gauge, environment etc. on the reliability of the control.The paper presents some possible directions of development of attribute measurement systems procedures. These challenges derive from need to assess the impact of factors related to the determinants of human psychophysical on the results of the statistical evaluation of measurement systems.

Keywords: Quality Control, Visual Inspection, Measurement System Analysis, Fuzzy Logic

DOI: 10.54941/ahfe100447

Cite this paper:

Downloads
393
Visits
944
Download