Lean Six Sigma and the Fourth Industrial Revolution: A Report

This report examines the evolution of Lean Six Sigma (LSS) in the context of industrial revolutions, with a specific focus on the Fourth Industrial Revolution (Industry 4.0). The report begins with an abstract and an introduction tracing the history of industrial revolutions, highlighting the shift towards d...Read More

Running head: LEAN SIX SIGMA
Lean Six Sigma
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Abstract
The paper describe terms and concepts related to industrial revolution. Special emphasis
is given to the fourth industrial revolution. This is the industrial revolution that is data driven and
is characterized by machine learning. By reflecting on study by Arcidiacono and Pieroni (2018),
the paper will demonstrate that application of industrial revolution concepts in lean six sigma
could bring greater efficiency.
Introduction: history of revolution
Industrial revolution started following invention of steam engine. This was followed by
second industrial revolution where electricity was the center of revolution. The third industrial
revolution is characterized by mainframe computers, personal computers, and the Internet were
the products of this industrial revolution. Today we are experiencing the fourth industrial
revolution, which is different from the previous ones and will have a major impact on
government, commerce, and the economy.
What is the Industrial Revolution?
The changing world is not new. The first three industrial revolutions brought us steam
engines, large-scale production based on division of labor, and automation through control
technology. What we are currently facing is the digital transformation of intelligent production.
Industry 4.0 provides solutions that use new technologies to optimize complex production
processes. The relationship between industrial production and IT technology is getting closer and
closer.
The fourth industrial revolution witnessed the emergence of smart factories. Smart
factories are highly adaptable and efficient production systems that can create optimal value at

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every stage. The self-adjusting value-added system can optimize cost, availability or resources
according to various standards.
What is the Industrial 4?
In order to cope with the challenges faced by the industry in the digital world, a
revolution is taking place globally. This process can be summarized as: Industry 4.0. Industry 4.0
represents the digitization of products, production technology and production processes. All
business and value-added processes involved in the company use digital data. Throughout the
product life cycle, the line between the virtual world and the real world has become blurred. To
this end, the Internet of Things (IoT) came into being. In the Internet of Things, identifiable
physical components, products or systems are all represented by virtual symbols. In this world,
all industrial links are closely connected. People, machines and products are interoperable
(Arcidiacono and Pieroni, 2018).
It facilitate smart planning through end to end visibility. The visibility itself is a noble
goal, but it can also help companies bring improvements and fundamentally change the Industry
4.0 supply chain. In particular, the increased visibility of data makes it possible for
manufacturers to adopt intelligent planning solutions to respond to real-time input, thus
demystifying the interconnected and full of changing processes. When every value link from
inbound flow to factory floor to customer delivery is digitized, becomes transparent and more
fully understood, the production sequence can be newly optimized, and waste and inefficient
areas can be identified and remedied (Arcidiacono and Pieroni, 2018).
What is the Quality 4?

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Quality 4.0 is not a technical case in the true sense, but an introduction to how technology
promotes the improvement of culture, collaboration, ability and leadership. Over the past decade,
there have been some new changes in the rapid development of interconnection, mobility,
analysis, expansion, and data, called the Fourth Industrial Revolution or Industry 4.0. With the
Industrial Internet of Things (IIoT), manufacturers have realized digital operations, improved
work efficiency, supply chain performance levels and innovation capabilities. This revolution
even created a completely new business model.
One of the goals of Industry 4.0 is to provide people with more high-quality products, so
more and more manufacturers and suppliers regard quality control as the top priority in the
manufacturing process. Quality 4.0 is produced under this background. In the manufacturing
industry, responsible for quality control of the team needs to continue to optimize the work piece
detection processes, reduce repeatedly revised and trial production between engineering and
manufacturing departments, reduce CMM ( coordinate measuring machine performance
bottlenecks) equipment. In addition, the quality control team must not only find the problem
correctly, but also provide various data and measurement results related to the problem.
The definition of Lean Six Sigma 4.0 and what is the authors said? And the findings the
authors had found?
The authors defined Lean Six Sigma as a new methodology that integrates the concepts
of classical lean sigma six and the industry 4.0. It is data-driven methodology and that it is
intended to improves the traditional lean six sigma. That is why they revealed that LSS 4.0
involves IoT modules, with relevant sensors that made it easier to monitor in real time, for
example, of the beds availability. The findings from the authors has proved the efficiency of
Lean Six Sigma as applied to the HealthCare context.

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5. My conclusions about Lean Six Sigma 4.0
Just as Arcidiacono, G. and Pieroni, A. (2018) found out, I believe that it is high time that
the lean six sigma starts utilizing the products of industrial 4.0. This is because data-driven
processes ensures high performance and efficiency.

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References
Arcidiacono, G. and Pieroni, A. (2018). The Revolution Lean Six Sigma 4.0. International
Journal on Advanced science Engineering Information Technology. 8 (1): 2088-5334