Lean manufacturing practices for operational and business performance : A PLS-SEM modeling analysis

The main objective of the study is to empirically investigate the influence of lean manufacturing (LM) practices on the operational and business performance of manufacturing companies in Oman. Methods: Empirical data on LM practices and performance were collected using a self-administered structured...

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Main Authors: Shrikant, Panigrahi, Khaloud Khalfan, Al Ghafri, Wafa Rashid, Al Alyani, Muhammad Waris, Ali Khan, Taufiq, Al Madhagy, Asadullah, Khan
Format: Article
Language:English
Published: InTech 2023
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/40623/
http://umpir.ump.edu.my/id/eprint/40623/1/Lean%20manufacturing%20practices%20for%20operational%20and%20business.pdf
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author Shrikant, Panigrahi
Khaloud Khalfan, Al Ghafri
Wafa Rashid, Al Alyani
Muhammad Waris, Ali Khan
Taufiq, Al Madhagy
Asadullah, Khan
author_facet Shrikant, Panigrahi
Khaloud Khalfan, Al Ghafri
Wafa Rashid, Al Alyani
Muhammad Waris, Ali Khan
Taufiq, Al Madhagy
Asadullah, Khan
author_sort Shrikant, Panigrahi
building UMP Institutional Repository
collection Online Access
description The main objective of the study is to empirically investigate the influence of lean manufacturing (LM) practices on the operational and business performance of manufacturing companies in Oman. Methods: Empirical data on LM practices and performance were collected using a self-administered structured survey questionnaire and the sampling frame was manufacturing companies in Oman. In total 300 questionnaires were distributed among 185 companies and a total of 107 with a response rate of 35.6 percent. Findings: The statistical analysis obtained from structural equation modeling found that lean manufacturing practices can explain operational performance, however, were unable to benefit overall business performance. Out of eight LM practices considered, small-lot production and quick setups were found to be the most adopted practices in manufacturing companies. Novelty: Even though LM has become a fundamental aspect of industrial manufacturing processes; little is known about its impact on performance. This study adds value to the literature by examining the key LM practices-performance relationships within the manufacturing companies in Oman. These findings have significant implications for improving manufacturing organizations' operational and business performance through lean manufacturing strategies.
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publishDate 2023
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spelling ump-406232024-04-30T06:36:25Z http://umpir.ump.edu.my/id/eprint/40623/ Lean manufacturing practices for operational and business performance : A PLS-SEM modeling analysis Shrikant, Panigrahi Khaloud Khalfan, Al Ghafri Wafa Rashid, Al Alyani Muhammad Waris, Ali Khan Taufiq, Al Madhagy Asadullah, Khan HD28 Management. Industrial Management T Technology (General) The main objective of the study is to empirically investigate the influence of lean manufacturing (LM) practices on the operational and business performance of manufacturing companies in Oman. Methods: Empirical data on LM practices and performance were collected using a self-administered structured survey questionnaire and the sampling frame was manufacturing companies in Oman. In total 300 questionnaires were distributed among 185 companies and a total of 107 with a response rate of 35.6 percent. Findings: The statistical analysis obtained from structural equation modeling found that lean manufacturing practices can explain operational performance, however, were unable to benefit overall business performance. Out of eight LM practices considered, small-lot production and quick setups were found to be the most adopted practices in manufacturing companies. Novelty: Even though LM has become a fundamental aspect of industrial manufacturing processes; little is known about its impact on performance. This study adds value to the literature by examining the key LM practices-performance relationships within the manufacturing companies in Oman. These findings have significant implications for improving manufacturing organizations' operational and business performance through lean manufacturing strategies. InTech 2023 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/40623/1/Lean%20manufacturing%20practices%20for%20operational%20and%20business.pdf Shrikant, Panigrahi and Khaloud Khalfan, Al Ghafri and Wafa Rashid, Al Alyani and Muhammad Waris, Ali Khan and Taufiq, Al Madhagy and Asadullah, Khan (2023) Lean manufacturing practices for operational and business performance : A PLS-SEM modeling analysis. International Journal of Engineering Business Management, 15. pp. 1-16. ISSN 1847-9790. (Published) https://doi.org/10.1177/18479790221147864 https://doi.org/10.1177/18479790221147864
spellingShingle HD28 Management. Industrial Management
T Technology (General)
Shrikant, Panigrahi
Khaloud Khalfan, Al Ghafri
Wafa Rashid, Al Alyani
Muhammad Waris, Ali Khan
Taufiq, Al Madhagy
Asadullah, Khan
Lean manufacturing practices for operational and business performance : A PLS-SEM modeling analysis
title Lean manufacturing practices for operational and business performance : A PLS-SEM modeling analysis
title_full Lean manufacturing practices for operational and business performance : A PLS-SEM modeling analysis
title_fullStr Lean manufacturing practices for operational and business performance : A PLS-SEM modeling analysis
title_full_unstemmed Lean manufacturing practices for operational and business performance : A PLS-SEM modeling analysis
title_short Lean manufacturing practices for operational and business performance : A PLS-SEM modeling analysis
title_sort lean manufacturing practices for operational and business performance : a pls-sem modeling analysis
topic HD28 Management. Industrial Management
T Technology (General)
url http://umpir.ump.edu.my/id/eprint/40623/
http://umpir.ump.edu.my/id/eprint/40623/
http://umpir.ump.edu.my/id/eprint/40623/
http://umpir.ump.edu.my/id/eprint/40623/1/Lean%20manufacturing%20practices%20for%20operational%20and%20business.pdf