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

IF 4.9 Q1 BUSINESS

International Journal of Engineering Business Management Pub Date : 2023-01-01 DOI:10.1177/18479790221147864

S. Panigrahi, Khaloud Khalfan Al Ghafri, Wafa Rashid Al Alyani, Muhammad Waris Ali Khan, Taufiq Al Madhagy, Asadullah Khan

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引用次数: 2

Abstract

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. 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. 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. 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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运营和业务绩效的精益制造实践:PLS-SEM建模分析

本研究的主要目的是实证调查精益制造(LM)实践对阿曼制造公司的运营和业务绩效的影响。使用自我管理的结构化调查问卷收集了LM实践和绩效的实证数据，抽样框架是阿曼的制造公司。本次调查共向185家企业发放了300份问卷，其中107家企业的回复率为35.6%。通过结构方程建模得到的统计分析发现，精益制造实践可以解释经营绩效，但不能使整体经营绩效受益。在考虑的八个LM实践中，小批量生产和快速设置被发现是制造公司最采用的实践。尽管LM已经成为工业制造过程的一个基本方面;人们对它对性能的影响知之甚少。本研究通过考察阿曼制造公司的关键LM实践-绩效关系，为文献增加了价值。这些发现对通过精益制造策略改善制造组织的运营和业务绩效具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Engineering Business Management BUSINESS-

CiteScore

7.50

自引率

6.10%

发文量

审稿时长

15 weeks

期刊介绍： The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering