Intelligent decision system for self-assessment

✍ Scribed by Dong-Ling Xu; Jian-Bo Yang

• Publisher: John Wiley and Sons
• Year: 2003
• Tongue: English
• Weight: 705 KB
• Volume: 12
• Category: Article
• ISSN: 1057-9214
• DOI: 10.1002/mcda.343

✦ Synopsis

Abstract

Many small and medium enterprises (SMEs) in the UK use the beta (Business Excellence Through Action) approach to the EFQM Excellence Model to conduct business excellence self‐assessment, which is in essence a multiple criteria decision analysis (MCDA) problem. This paper introduces a decision support software package called Intelligent Decision System (IDS) to implement the beta approach. It is demonstrated in the paper that the IDS‐beta package can provide not only average scores but also the following numerical results and graphical displays on:

Distributed assessment results to demonstrate the diversity of company performances

The performance range to cater for incomplete assessment information

Comparisons

between current performances and past performances,

among different companies

among different action plans.

Strengths and weaknesses

The IDS‐beta package also provides a structured knowledge base to help assessors to make judgements more objectively. The knowledge base contains guidelines provided by the developers of the beta approach, best practices gathered from research on award winning organizations, evidence collected from companies being assessed and comments provided by assessors to record the reasons why a specific criterion is assessed to a certain grade for a company. Four small UK companies, the industry partners of the research project, have carried out the preliminary self‐assessment using the package. The results and experience of the application are discussed at the end of the paper. Copyright © 2004 John Wiley & Sons, Ltd.