Developing causal relationships for a TQM index for the Indian automobile sector

V. Khanna, P. Vrat, R. Shankar, B. S. Sahay
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引用次数: 24

Abstract

Though there has been steady growth in the automobile sector in India, India is still a player of little consequence in global auto production. Despite total quality management (TQM) playing an increasingly important role in the survival and growth of companies in the automobile sector, the dynamic interactions among its subsystems have not received due attention in the literature. Based on the Malcolm Baldrige National Quality Award model, this paper develops causal relationships among the different variables that represent “enablers” and “results” – operating within 44 identified feedback loops. Of these loops, 33 are positive and 11 are negative. The resulting causal loop diagram provides an insight into understanding the dynamic interactions among TQM subsystems which helps identify proactive action in implementing the TQM philosophy.
发展印度汽车行业全面质量管理指数的因果关系
尽管印度的汽车行业一直在稳步增长,但在全球汽车生产中,印度仍然是一个无足轻重的角色。尽管全面质量管理(TQM)在汽车行业公司的生存和发展中发挥着越来越重要的作用,但其子系统之间的动态相互作用在文献中没有得到应有的重视。基于马尔科姆·鲍德里奇国家质量奖模型,本文发展了代表“推动者”和“结果”的不同变量之间的因果关系——在44个确定的反馈回路中运行。在这些循环中,33个是正的,11个是负的。由此产生的因果循环图为理解TQM子系统之间的动态交互提供了洞察力,这有助于确定实现TQM哲学的主动行动。
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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