A review of Quality Engineering tools and techniques practices in Malaysia’s and Indonesia’s automotive industries and an agenda for future research

N. T. Putri, S.M. Yusof
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引用次数: 6

Abstract

Studies of Quality Engineering (QE) usually focused on the areas of process control tools in production and improvement tools used to improve existing production processes and its title typically covers such as Statistical Process Control (SPC), Taguchi Methods and Design of Experiment. Only a few studies that looks into a comprehensive implementation of QE Tools and Techniques especially in Malaysia and Indonesia automotive industries. This paper aims to review the QE tools and techniques practices of Malaysia and Indonesia Automotive Industries in their quality improvement efforts. This paper also highlights the importance of implementation of QE tools and techniques in company in various countries and the problems encountered when using QE tools and techniques found in the literature. The further research will identify and evaluate the critical success factors for the successful implementation of QE. The Analytic Hierarchy Process (AHP) approach is going to be employed to prioritize the critical factors for implementing QE. The AHP approach is used in this study because it can help researchers to formulate an appropriate model to evaluate critical success factors and develop strategies to implement QE tools and techniques in Malaysia and Indonesia automotive industries. Furthermore, it is believed that the developing of conceptual model will need for successful QE practices in Malaysia and Indonesia automotive industries based on empirical research.
回顾马来西亚和印度尼西亚汽车工业的质量工程工具和技术实践,并提出未来研究的议程
质量工程研究(QE)通常侧重于生产过程控制工具和用于改进现有生产过程的改进工具领域,其标题通常包括统计过程控制(SPC),田口方法和实验设计。只有少数研究着眼于全面实施量化宽松工具和技术,特别是在马来西亚和印度尼西亚的汽车行业。本文旨在回顾马来西亚和印度尼西亚汽车工业在质量改进方面的量化宽松工具和技术实践。本文还强调了在各国公司实施QE工具和技术的重要性,以及在使用文献中发现的QE工具和技术时遇到的问题。进一步的研究将确定和评估量化宽松成功实施的关键成功因素。本文将采用层次分析法(AHP)对实施量化宽松的关键因素进行排序。本研究使用AHP方法,因为它可以帮助研究人员制定适当的模型来评估关键成功因素,并制定战略,以在马来西亚和印度尼西亚的汽车行业实施量化宽松工具和技术。此外,在实证研究的基础上,认为概念模型的发展将需要马来西亚和印度尼西亚汽车行业成功的量化宽松实践。
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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