Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Gearing Six Sigma into UK manufacturing SMEs: results from a pilot study

Antony, J., Kumar, Maneesh and Labib, A. 2008. Gearing Six Sigma into UK manufacturing SMEs: results from a pilot study. Journal of the Operational Research Society 59 (4) , pp. 482-493. 10.1057/palgrave.jors.2602437

Full text not available from this repository.

Abstract

Approaches to business improvement have evolved and grown since the early 1900s and today the process focused, statistically driven Six Sigma methodology has been widely used by companies such as GE, Motorola, Honeywell, Bombardier, ABB, Sony, DuPont, American Express, Ford and many other companies in improving the business performance and optimizing the bottom-line benefits. Although Six Sigma business management strategy has been exploited by many world class organizations as mentioned above, there is still less documented evidence of its implementation in small and medium-sized enterprises (SMEs). This paper reports the key findings of a Six Sigma pilot survey in UK manufacturing SMEs. The results of the study are based primarily on descriptive statistics. The results of the study show that many of the SMEs are not aware of Six Sigma and do not have the resources to implement Six Sigma projects. It was also found that Lean Sigma was not generally popular among SMEs. Management involvement and participation, linking Six Sigma to customers and to business strategy are the most critical factors for the successful deployment of Six Sigma in SMEs.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HF Commerce
Uncontrolled Keywords: Six Sigma ; SMEs ; Survey ; Impediments ; Critical success factors
Additional Information: Part Special Issue: Intelligent Management Systems in Operations
Publisher: Palgrave
ISSN: 0160-5682
Last Modified: 04 Jun 2017 03:14
URI: http://orca.cf.ac.uk/id/eprint/18503

Citation Data

Cited 149 times in Google Scholar. View in Google Scholar

Cited 100 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item