This paper explores the relationship between five LM methods (JIT, TPM, Autonomation, VSM and Kaizen) and three IoT technologies (RFID, WSN and Middleware) and the implications that arise from their combination. Four hypotheses and four complimentary research questions were formulated and tested. 136 responses were obtained through a questionnaire survey and analysed using descriptive statistics, 2-Sample proportion, Kruskal-Wallis, ANOVA and Pairwise comparison tests. The findings indicate that IoT can significantly improve the operational performance of manufacturing organisations. The findings advocate that all LM methods, apart from Kaizen, benefit from improved effectiveness by combining them with IoT. The results suggest that this can be attributed to the general perception about IoT, which despite the support and benefits it provides to people, is seen to be reducing human involvement whereas Kaizen is seen to be more people-focused. Improvements in information flow, decision-making and productivity were also found to be the most important motivations and benefits of combining LM methods with IoT. The findings of this research can be used by LM organisations that wish to embark into the new digitalised manufacturing era and businesses seeking to improve their performance through the combination of traditional efficiency-based methods and I4.0 technologies.

本文探讨了五种LM方法（JIT，TPM，Autonomation，VSM和Kaizen）与三种物联网技术（RFID，WSN和中间件）之间的关系，以及它们的结合所带来的影响。提出并检验了四个假设和四个互补的研究问题。通过问卷调查获得136份答复，并使用描述性统计数据，2-样本比例，Kruskal-Wallis，ANOVA和成对比较检验进行分析。研究结果表明，物联网可以显着改善制造组织的运营绩效。研究结果表明，除了Kaizen之外，所有LM方法都可以通过将它们与IoT结合使用来提高效率。结果表明，这可以归因于对物联网的普遍认识，尽管它为人们提供了支持和好处，但它被认为减少了人们的参与，而改善（Kaizen）则被更多地关注以人为本。信息流，决策和生产力的改善也是将LM方法与IoT相结合的最重要的动机和收益。希望进入新的数字化制造时代的LM组织以及希望通过结合传统的基于效率的方法和I4.0技术来提高其绩效的企业，可以使用本研究的结果。