A hybrid knowledge‐based performance measurement system

Abstract

Purpose

This paper aims to present a hybrid knowledge based (KB) – analytic hierarchy process (AHP) – gauging absence of pre‐requisite (GAP) analysis of performance measurement system (PMS) expert system (ES) model.

Design/methodology/approach

The KBPMS has been developed using the rule base approach of ESs. Full details are given for the customer perspective (CP). The KBPMS considers five levels of company performance: business perspective, CP, manufacturing competitive priorities perspective, internal process perspective and resource and method availability perspective. CP model of the KBPMS system, and thereafter the complete model is summarised for the different modules. Embedded within the KB is the ability to benchmark the PMS existing in a company to assist in the improvement process.

Findings

The validation of the hybrid KBPMS was confirmed through three real applications in the manufacturing industry sector: aircraft component manufacturing, electronics manufacturing and telecommunication products manufacturing. The results of the validation exercise indicate that the present hybrid KBPMS model is a suitable decision‐making tool to assist the practitioners of PMS and provides consistent and detailed prioritised results for actions and improvements.

Research limitations/implications

Future research work could consider a larger sample size and cover a wider range of industry types, including services industry.

Originality/value

This paper presents an original and novel approach (KB/ES coupled with AHP and gap analysis) to designing and benchmarking PMS in a manufacturing environment.

Citation

Khurshid Khan, M. and Wibisono, D. (2008), "A hybrid knowledge‐based performance measurement system", Business Process Management Journal, Vol. 14 No. 2, pp. 129-146. https://doi.org/10.1108/14637150810864899