Quality Management, Supply Chain Management, and Just in Time: A Model of their Impact on Business Performance

2002 ◽  
Vol 3 (2) ◽  
pp. 58-72
Author(s):  
Vijay R. Kannan ◽  
Keah-Choon Tan
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Business Performance ◽  
Just In Time ◽  
Chain Management

scholarly journals Impact Of Just-In-Time, Total Quality Management And Supply Chain Management On Organizational Performance: A Review Perspective

2018 ◽  
Vol 19 (1) ◽  
pp. 11 ◽  
Author(s):  
Ilyas Masudin ◽  
Mohammed Kamara
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Total Quality Management ◽  
Organizational Performance ◽  
Operations Management ◽  
Service Industry ◽  
Just In Time ◽  
Total Quality ◽  
Chain Management

The purpose of this article aims to examine literary the relationship and practices of Just-in-Time (JIT), Total Quality Management (TQM) and Supply Chain Management (SCM) on firms and their impacts on operational performance, which in turn impact organizational performance. The method used in this work is by gathering information relating to the practices of JIT, TQM, and SCM from different journals and articles based on the survey of various researchers. The source of articles used in this study is popular journal databases such as Google scholar, EBSCO Host, science direct, Emerald, Springer Link and Scopus. From the databases, 65 articles related to those three major operations management components are collected and reviewed. The results showed that JIT, TQM and SCM practices in both manufacturing and service industry individually and jointly impact organizational performance.

scholarly journals Impact Of Just-In-Time, Total Quality Management And Supply Chain Management On Organizational Performance: A Review Perspective

2018 ◽  
Vol 19 (1) ◽  
pp. 11
Author(s):  
Ilyas Masudin ◽  
Mohammed Kamara
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Total Quality Management ◽  
Organizational Performance ◽  
Operations Management ◽  
Service Industry ◽  
Just In Time ◽  
Total Quality ◽  
Chain Management

The purpose of this article aims to examine literary the relationship and practices of Just-in-Time (JIT), Total Quality Management (TQM) and Supply Chain Management (SCM) on firms and their impacts on operational performance, which in turn impact organizational performance. The method used in this work is by gathering information relating to the practices of JIT, TQM, and SCM from different journals and articles based on the survey of various researchers. The source of articles used in this study is popular journal databases such as Google scholar, EBSCO Host, science direct, Emerald, Springer Link and Scopus. From the databases, 65 articles related to those three major operations management components are collected and reviewed. The results showed that JIT, TQM and SCM practices in both manufacturing and service industry individually and jointly impact organizational performance.

Performance measurement for supply chain management and quality management integration

2019 ◽  
Vol 27 (7) ◽  
pp. 2130-2147 ◽  
Author(s):  
Marcio C. Machado ◽  
Renato Telles ◽  
Paulo Sampaio ◽  
Maciel M. Queiroz ◽  
Ana Cristina Fernandes
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Performance Measurement ◽  
Performance Measures ◽  
Chain Management ◽  
Content Type ◽  
Theoretical Perspectives ◽  
Overall Performance ◽  
Key Aspects

Purpose The purpose of this paper is to present a conceptual framework for performance measurement (PM) for the integration of supply chain management (SCM) and quality management (QM). Design/methodology/approach A systematic literature review on SCM and QM was conducted to develop key performance measures related to six areas of integration between QM and SCM: leadership; continuous improvement and innovation; sustainability performance; stakeholders; information system; and management and strategic planning. Findings Supported by the literature concerning to supply chain quality management (SCQM) integration, a set of nine propositions about performance measures, that contribute to the integration of SCQM, were developed. Originality/value This study contributes to QM practices within a supply chain environment from an integrated perspective. Additionally, the propositions have significant implications from both managerial and theoretical perspectives. This study also extends the concept of supply chain quality integration by focusing on key aspects of PM that may help to improve the overall performance of the supply chain.

scholarly journals IMPACT OF GREEN SUPPLY CHAIN MANAGEMENT ON ORGANIZATIONAL PERFORMANCE

2020 ◽  
Vol 2 (1) ◽  
pp. 88-102
Author(s):  
KAZIM RIAZ ◽  
DR. MUHAMMAD ASIM ◽  
SALMAN MANZOOR
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Organizational Performance ◽  
Business Performance ◽  
Positive Impact ◽  
Well Being ◽  
Operational Efficiency ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management

This study evaluated the relation of implementing the green supply chain management on the entire business performance. This research has been done on the organizations in the e-commerce industry based in Karachi, Pakistan. The research has found that there is a direct relationship between green supply chain management, which includes the variables, Cooperation with Suppliers, Green Purchasing, Green Logistics, And Cooperation with Customers and the organizational performance. The results showed that business performance grows if the green supply chain management enhances operational efficiency and operational efficiency. The study has found and that the implementation of the sustainable supply chain in the firm has a positive impact on the economic performance of the company and competitiveness, hence provide a competitive edge to the company. This study also provides a clear image of how important the green chain plays a part in the organizational performance and that is for the well-being of the employees.

Data-driven quality improvement approach to reducing waste in manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rose Clancy ◽  
Dominic O'Sullivan ◽  
Ken Bruton
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Process Improvement ◽  
Six Sigma ◽  
Data Driven ◽  
Manufacturing Processes ◽  
Management Performance ◽  
Chain Management ◽  
Content Type

PurposeData-driven quality management systems, brought about by the implementation of digitisation and digital technologies, is an integral part of improving supply chain management performance. The purpose of this study is to determine a methodology to aid the implementation of digital technologies and digitisation of the supply chain to enable data-driven quality management and the reduction of waste from manufacturing processes.Design/methodology/approachMethodologies from both the quality management and data science disciplines were implemented together to test their effectiveness in digitalising a manufacturing process to improve supply chain management performance. The hybrid digitisation approach to process improvement (HyDAPI) methodology was developed using findings from the industrial use case.FindingsUpon assessment of the existing methodologies, Six Sigma and CRISP-DM were found to be the most suitable process improvement and data mining methodologies, respectively. The case study revealed gaps in the implementation of both the Six Sigma and CRISP-DM methodologies in relation to digitisation of the manufacturing process.Practical implicationsValuable practical learnings borne out of the implementation of these methodologies were used to develop the HyDAPI methodology. This methodology offers a pragmatic step by step approach for industrial practitioners to digitally transform their traditional manufacturing processes to enable data-driven quality management and improved supply chain management performance.Originality/valueThis study proposes the HyDAPI methodology that utilises key elements of the Six Sigma DMAIC and the CRISP-DM methodologies along with additions proposed by the author, to aid with the digitisation of manufacturing processes leading to data-driven quality management of operations within the supply chain.

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