Analysis of Barriers in Implementing Quality Management Initiatives in MSME Label Printing Firms for Sustainable Performance Improvement

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引用次数: 0

Abstract

Quality is essential in today’s competitive market to ensure customers are happy; recent research shows that about 90% of customers think quality is just as important as price when purchasing. Total quality management (TQM) has been a boon to the economies of many countries. Different tools and methods are used in TQM to give customers the best quality. However, there are some challenges that manufacturing organizations face when implementing these tools. Much research has been done on MSME sector, so far as label manufacturers are concerned, there has yet to be any research on a national or international level. In this study, we found 66 barriers to programs to improve quality in the label printing industry. We have used fuzzy MICMAC analysis and total interpretive modeling (TISM) to make a structural model. Our research paper provides an easy-to-use methodology and critically analyses the biggest obstacles to the successful application of TQM in the flexographic printing industry. Our research identified ten issues with the implementation of TQM in this industry. The paper has identified the interdependencies of the above variables. The findings of this research will aid in future planning, particularly in E-commerce and the pharmaceutical industry, where proper label printing is crucial.
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中小微企业标签印刷企业实施质量管理举措以实现可持续绩效改进的障碍分析
在当今竞争激烈的市场中,质量是确保客户满意的关键;最近的研究表明,大约90%的顾客在购买时认为质量和价格一样重要。全面质量管理(TQM)已成为许多国家经济发展的福音。在TQM中使用不同的工具和方法来给予客户最好的质量。然而,在实现这些工具时,制造组织面临着一些挑战。关于中小微企业的研究已经很多了,但就标签制造商而言,目前还没有国内或国际层面的研究。在这项研究中,我们发现了66个障碍项目,以提高质量的标签印刷行业。我们采用模糊MICMAC分析和全解释模型(total interpretive modeling, TISM)建立了一个结构模型。我们的研究论文提供了一种易于使用的方法,并批判性地分析了在柔版印刷行业成功应用全面质量管理的最大障碍。我们的研究确定了在这个行业实施全面质量管理的十个问题。本文已经确定了上述变量的相互依赖关系。这项研究的结果将有助于未来的规划,特别是在电子商务和制药行业,其中适当的标签印刷是至关重要的。
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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