Title: Analysing barriers to supplier quality management via interpretive structural modelling: the case of Saudi industry

Authors: Hassan Mukhtar; Andrea Schiffauerova

Addresses: CIISE, Concordia University, Montreal, QC, Canada ' CIISE, Concordia University, Montreal, QC, Canada

Abstract: A well-organised supply chain network increases the efficiency of the supplier selection and improves quality of service. However, certain barriers to suppliers' quality management prevent companies from achieving these gains. The aim of this study is to identify important barriers that affect suppliers' quality management and to determine the contextual relationships between them using interpretative structural modelling approach. Based on literature review seven important barriers to quality management were identified at the supplier level and a graphical approach was then used to classify these barriers into multiple categories. Experts' opinion from Saudi industry was sought to develop structured self-intersection matrix and reachability matrix, which are used to identify binary relationship among these barriers. The study provides new insights into understanding of the critical factors hindering successful supply chain management.

Keywords: supplier quality management; SQM; interpretive structural modelling; ISM; barriers; supplier chain management; SCM; Saudi Arabia.

DOI: 10.1504/IJLSM.2016.077282

International Journal of Logistics Systems and Management, 2016 Vol.24 No.4, pp.452 - 465

Received: 17 Jan 2015
Accepted: 30 Mar 2015
Published online: 26 Jun 2016 *

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