Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.638684
Title: Performance measurement and evaluation in the manufacturing sector
Author: Roberts, L. R.
Awarding Body: University of Wales Swansea
Current Institution: Swansea University
Date of Award: 1998
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Abstract:
This thesis highlights the importance of performance measurement and evaluation in the management information and control system. Increasing global competition requires companies to pay more attention to the external environment in terms of satisfying customer's requirements and surpassing competitor's performance. Benchmarking can be used to gain knowledge about the performance of competitors. The results of two surveys conducted in 1995 and 1997 are described. In 1995, data were collected in Wales, Northern Ireland and the Republic of Ireland as part of an international study (Global Manufacturing Research Group). The similarities and differences of manufacturing firms in these three countries representing four industries; Manufacturers of Textiles (SIC17), of Metal Fabricated Products (SIC28), of Machinery and Equipment (SIC29), and of Motor Vehicles (SIC34), are compared. The GMRG database is used to investigate the assumption of sample homogeneity between industries and countries in their relationship to five manufacturing priorities. The conclusion from this analysis is that demographic variables can eliminate, or reduce bias in the statistical analysis of competitive priorities where there are industry and country differences. The survey conducted in 1997 focuses on the performance of twenty-two plants from the automotive components industry in Wales. Productivity is perhaps the most common measure of performance, yet little consensus exists on its definition. A model for productivity is constructed and three alternative evaluation techniques (ratio analysis, multiple regression and data envelopment analysis) are applied to the data. The method of data envelopment analysis provides the most accurate measure of productivity and is used in conjunction with a measure of quality to identify 'world class' manufacturing plants in Wales. The practices and performance of these plants are compared against 'non-world class' plants. Statistics show that 'world class' plants out-perform 'non-world class' plants on a number of measures relating to cost, quality, delivery reliability, process time and flexibility. These plants have also invested more resources on performance improvement programmes and have placed more emphasis in the area of employee involvement.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.638684  DOI: Not available
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