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Mohamed Rafik N. Qureshi
Researcher at King Khalid University
Publications - 76
Citations - 2582
Mohamed Rafik N. Qureshi is an academic researcher from King Khalid University. The author has contributed to research in topics: Total quality management & Supply chain. The author has an hindex of 24, co-authored 72 publications receiving 2122 citations. Previous affiliations of Mohamed Rafik N. Qureshi include Maharaja Sayajirao University of Baroda & Indian Institute of Technology Roorkee.
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Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling approach
TL;DR: In this article, an interpretive structural modeling (ISM) based approach has been utilized to understand the mutual influences among the barriers of total quality management (TQM), and 12 TQM barriers are identified through the literature review and expert opinion.
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An empirical investigation of relationship between total quality management practices and quality performance in Indian service companies
TL;DR: In this article, the authors investigated the relationship between total quality management practices and quality performance in Indian service companies and found that TQM practices were partially correlated with quality performance of the Indian Service companies.
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An integrated model to identify and classify the key criteria and their role in the assessment of 3PL services providers
TL;DR: In this article, an integrated model using interpretive structural modeling (ISM) and FMICMAC analysis has been developed to identify and classify the key selection criteria of 3PL services providers, typically identified by many researchers and practiced by the shippers for effective supply chain management.
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A study of total quality management and supply chain management practices
TL;DR: In this paper, the authors present a set of total quality management (TQM) and supply chain management (SCM) practices through an extensive literature review and to identify the relationships among them by comparing the identified TQM and SCM practices.
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Modeling the logistics outsourcing relationship variables to enhance shippers' productivity and competitiveness in logistical supply chain
TL;DR: In this paper, an interpretive structural modeling (ISM) based approach has been used to model the variables of logistics outsourcing relationship between shippers and LSPs and to study their influence on productivity and competitiveness of the shipper company.