金属行业生产流程组织评估 - 案例研究

K. Mielczarek
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引用次数: 0

摘要

摘要 这篇文章提供了一个详细的案例研究,说明了 BOST 调查的实际应用,同时重点介绍了丰田公司的第三项原则。这一原则强调了在生产中实现均匀分布以减少波动并确保生产流程平稳运行的重要性。文章全面分析了这一原则在现实世界中的实施情况,探讨了其对生产效率的影响,并阐明了消除停工期和防止过度库存积累所带来的优势。此外,文章还讨论了各行各业的应用实例,阐明了实施丰田第三原则的实用策略。其目标不仅是优化生产流程,还要提高灵活性和对不断变化的需求模式的适应性。文章最后探讨了这一原则在卓越运营和开发更高效生产系统的大背景下所发挥的关键作用。重点研究围绕一家金属行业公司展开。通过使用 BOST 问卷调查,该公司的生产工人表达了他们的观点,揭示了他们认为哪些因素最为关键。研究结果的分析形式多种多样,包括表格、柱状图、雷达图和多种统计工具。本分析的总体目标是根据所获结果构建重要性序列,从而确定并呈现最关键的因素。针对中小型企业的研究结果与在不同企业环境中进行的类似测试结果一致,表明在不同组织环境中具有一定的一致性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the Production Process Organization in the Metal Industry - Case Study
Abstract The article provides a detailed case study illustrating the practical application of BOST surveys while focusing on the third principle of Toyota. This particular principle underscores the importance of achieving an even distribution in production to mitigate fluctuations and ensure the smooth functioning of the production process. The article delves into a comprehensive analysis of how this principle is implemented in real-world scenarios, exploring its effects on production efficiency and elucidating the advantages gained from the elimination of downtime and the prevention of excessive inventory buildup. Moreover, the article offers a discussion on examples of applications across various industries, shedding light on practical strategies for implementing the third Toyota principle. The goal is to not only optimize production processes but also enhance flexibility and adaptability to evolving demand patterns. The article concludes by examining the pivotal role of this principle within the broader context of operational excellence and the development of more efficient production systems. The research in focus centers around a company operating in the metal industry. Through the utilization of BOST questionnaire surveys, production workers within the company expressed their perspectives, revealing which factors they deemed most crucial. The analysis of research results takes various forms, including tables, histograms, radar charts, and several statistical tools. The overarching objective of this analysis is to identify and present the most critical factors by constructing significance sequences based on the obtained results. The findings obtained for small and medium-sized enterprises align with results from similar tests conducted in different business settings, indicating a level of consistency and applicability across various organizational contexts.
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