Abstract
Purpose – The purpose of this paper is to develop an assessment methodology that can be used to
evaluate performance of small and medium enterprises (SMEs) in the manufacturing sector.
Design/methodology/approach – This area of the study focuses on the assessment of performance
in manufacturing SMEs. The methodology contains qualitative and quantitative measures that can
quantify the opportunities and benefits within SMEs, as well as identifying the performance gaps
between the current performance of the company and world-class performance. This includes
reviewing the literature relating to assessment methodology and collecting data by carrying out
semi-structured interviews with staff at target SMEs.
Findings – The results show that the proposed assessment methodology is effective in identifying
hidden opportunities and benefits in the manufacturing SMEs sector, establishing world-class
performance of the companies and comparing this with current performance in order to identify gaps
in performance in manufacturing SMEs.
Practical implications – This assessment can be used for monitoring and assessing SMEs
performance. The developed methodology can be used by manufacturing SMEs as an assessment and
benchmarking tool. It enables manufacturing SMEs to identify opportunities for improvement
and determine the gaps in current performance; this will assist manufacturing SMEs in selecting an
appropriate tool to improve their performance in order to achieve the company objectives.
Originality/value – This paper presents a successful and effective assessment methodology for
manufacturing SMEs. It measures current performance which will provide a useful indicator to
identify waste. It attempts to improve company performance and suggests how such activities
could be organised and managed more effectively. Consequently it leads to a high potential for cost and
time saving and quality improvement.
Original language | English |
---|---|
Pages (from-to) | 477-498 |
Journal | International Journal of Productivity and Performance Management |
Volume | 63 |
Issue number | 4 |
DOIs | |
Publication status | Published - 8 Apr 2014 |