For over three decades, production firms have extensively espoused lean manufacturing (LM) approach for constantly enhancing their operations. Of late, due to the fusion of physical and digital systems within the Industry 4.0 evolution, production systems can upgrade by applying both notions and lift operational excellence to a new high. This is primarily the reason why digital business transformation has gained significance. Moreover, Industry 4.0 that is led by data assures huge strides in output. The sheer volume of pertinent data from the production systems employing servers, sensors, and cloud computing have made the data exchange procedure more gigantic and intricate. However, conventional systems do not extensively support LM in the context of Industry 4.0. Moreover, the previous studies by researchers in the same field, shown that there was no standard platform to manage the new technologies in LM. This study presents a discussion on the interrelated framework about the way Industry 4.0 has transformed production into an industry focusing on connective mechanisms and platforms which utilize data analytics from the real world. The theoretical framework proposed in this paper integrates LM, data analytics, and Internet of Things (IoT) to enhance decision support systems in process improvement. Data analytics in simulation is employed through Internet of Things to improve bottleneck problems by maintaining the principle of LM. The main information flow route within LM decision support system is demonstrated in detail to show how the decision-making process is done. The decision support mechanism has undergone up-gradation and the suggested framework has shown that the assimilated components could function together to augment the output.

在过去的三十多年中，生产公司广泛采用精益制造（LM）方法来不断提高其运营水平。最近，由于物理和数字系统在工业4.0演进中的融合，生产系统可以通过应用这两种概念进行升级，并将卓越的运营提升到一个新的高度。这主要是数字业务转型变得重要的原因。此外，以数据为主导的工业4.0确保了输出的巨大进步。来自采用服务器，传感器和云计算的生产系统的大量相关数据使数据交换过程变得更加庞大和复杂。但是，常规系统在工业4.0的环境中并未广泛支持LM。而且，以前相同领域的研究人员所做的研究，表明LM中没有标准平台来管理新技术。这项研究提出了有关相互关联的框架的讨论，这些框架涉及工业4.0将生产方式转变为一个行业，该行业关注利用现实世界中数据分析的连接机制和平台。本文提出的理论框架将LM，数据分析和物联网（IoT）集成在一起，以增强流程改进中的决策支持系统。通过物联网采用仿真中的数据分析，以通过保持LM原理来改善瓶颈问题。详细说明了LM决策支持系统中的主要信息流路径，以显示决策过程是如何完成的。