Fuzzy quality-team formation for value added auditing: A case study

Abstract

Value-added (quality) auditing is emerging as one of the most powerful tools for continuous quality improvement, with the introduction of the ISO 9001:2000 and ISO 19011 standards that focus team-based audits, proper auditor skills, process auditing, and effectiveness, etc. Formation of an effective quality audit team (QAT) based on the required auditor skills is therefore the initial stage of the value added auditing. QATs audit organizations at different locations with varying auditing requirements in order to evaluate an organization's own quality system (first party part audits according to IEC9001 Clause 8.2.2). The QAT consists of a lead auditor and one or more auditors that have the required skills in varying levels for the execution of an audit. For a successful audit, the formation of a QAT is vital since each audit team must at least fulfill the minimum requirements and skills needed for a specific audit. In this case study, a fuzzy mathematical-programming model and a solution algorithm based on “simulated annealing” is proposed for the formation of QATs. This is one of the first attempts in the literature to form this kind of teams analytically. Example problems are also solved in the paper to present the application of the proposed approach.