Lean 4.0 - A conceptual conjunction of lean management and Industry 4.0

Industry 4.0 and lean management both focus on increasing productivity of industrial systems. Industry 4.0 is foreseen to revolutionize today’s manufacturing environment whereas lean management is an integrated techno-operational system which has gained increasing importance in recent times to bring about a competitive state in an organization. Though in the last three decades there have been rigorous studies on lean manufacturing (LM), its implementation in the Indian manufacturing domain is still in its nascent stage. A lack of research to explore the potential use of Industry 4.0 is also noted. Research work on the compatibility of Industry 4.0 with LM is scarce and any study on the role of Industry 4.0 on LM in the Indian manufacturing sector is practically unavailable. The aim of this research is to explore how the fourth industrial revolution, referred to as Industry 4.0, can strategize LM in the Indian manufacturing context. Empirical studies have disclosed that Indian managers are hesitant to go for automation and technological developments. Results of this work reveal that there needs to be a change in attitude and approach. Lean implementers in India need to embrace Industry 4.0 to pivot LM by automating through Cyber-Physical Systems and creating a flexible design and production model of customized and smart products.

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Contributions of Industry 4.0 to lean management within the supply chain operations reference model

International Journal of Integrated Supply Management ◽

10.1504/ijism.2020.107781 ◽

2020 ◽

Vol 13 (1) ◽

pp. 74

Author(s):

Julian M. Müller ◽

Hendrik S. Birkel

Keyword(s):

Supply Chain ◽

Industry 4.0 ◽

Reference Model ◽

Lean Management

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Industry 4.0 and lean management: a proposed integration model and research propositions

Production & Manufacturing Research ◽

10.1080/21693277.2018.1540949 ◽

2018 ◽

Vol 6 (1) ◽

pp. 416-432 ◽

Cited By ~ 45

Author(s):

Michael Sony

Keyword(s):

Industry 4.0 ◽

Lean Management ◽

Integration Model ◽

Research Propositions

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Industry 4.0 and Decision Making

Lecture Notes in Mechanical Engineering - Advances on Mechanics, Design Engineering and Manufacturing III ◽

10.1007/978-3-030-70566-4_63 ◽

2021 ◽

pp. 400-405

Author(s):

Frédéric Rosin ◽

Pascal Forget ◽

Samir Lamouri ◽

Robert Pellerin

Keyword(s):

Decision Making ◽

Production System ◽

Industry 4.0 ◽

Production Systems ◽

Lean Production ◽

Management Training ◽

Decision Making Process ◽

Use Case ◽

Lean Management ◽

Different Types

AbstractIndustry 4.0 is an ubiquitous term that suggests significant impacts on the productivity and flexibility of production systems. But to what extent do the various technologies associated with Industry 4.0 contribute to enhance autonomy of operational teams by helping them make better and faster decisions, particularly in the context of Lean production system? This paper proposes a model of different types of autonomy in the decision-making process, depending on whether or not the steps in the decision-making process are enhanced by technologies. This model will be tested afterwards in a use case implemented in a learning factory offering Lean management training before being tested in a real production unit.

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Application of lean management tools in industry 4.0: a systematic review

Independent Journal of Management & Production ◽

10.14807/ijmp.v12i9.1638 ◽

2021 ◽

Vol 12 (9) ◽

pp. s856-s864

Author(s):

Ingrid Teixeira do Nascimento ◽

Maria Eduarda Alves da Silva ◽

Gabriel Rodrigo de Souza Gama ◽

Ana Carla de Souza Gomes dos Santos ◽

Genildo Nonato Santos

Keyword(s):

Systematic Review ◽

Literature Review ◽

Industry 4.0 ◽

Lean Production ◽

Industrial Sector ◽

Lean Management ◽

Management Tools ◽

Production Processes ◽

Lean Tools

The concept of Industry 4.0 is very recent and has not been fully consolidated, and, for this reason, comprehensive implementations by the industrial sector may not be prudent. Studies show that only fundamentals of Industry 4.0 do not guarantee characteristics such as quality, for example, in production processes. Thus, lean production concepts are probably being used together to cover deficiencies in Industry 4.0. In this work, a literature review is proposed that points out where lean production tools are being used in the production processes of Industry 4.0. Using the results of this search, an analysis of the most important lean production tools, which appear in the works, has been made. The analysis has shown what is being used, in terms of the lean tools, in the production processes of Industry 4.0, and what improvements are provided from these tools.

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Characterization of Industry 4.0 Lean Management Problem-Solving Behavioral Patterns Using EEG Sensors and Deep Learning

Sensors ◽

10.3390/s19132841 ◽

2019 ◽

Vol 19 (13) ◽

pp. 2841 ◽

Cited By ~ 7

Author(s):

Javier Villalba-Diez ◽

Xiaochen Zheng ◽

Daniel Schmidt ◽

Martin Molina

Keyword(s):

Deep Learning ◽

Problem Solving ◽

Industry 4.0 ◽

Manufacturing Systems ◽

Behavioral Pattern ◽

Management Problem ◽

Behavioral Patterns ◽

Lean Management ◽

Capture Process

Industry 4.0 leaders solve problems all of the time. Successful problem-solving behavioral pattern choice determines organizational and personal success, therefore a proper understanding of the problem-solving-related neurological dynamics is sure to help increase business performance. The purpose of this paper is two-fold: first, to discover relevant neurological characteristics of problem-solving behavioral patterns, and second, to conduct a characterization of two problem-solving behavioral patterns with the aid of deep-learning architectures. This is done by combining electroencephalographic non-invasive sensors that capture process owners’ brain activity signals and a deep-learning soft sensor that performs an accurate characterization of such signals with an accuracy rate of over 99% in the presented case-study dataset. As a result, the deep-learning characterization of lean management (LM) problem-solving behavioral patterns is expected to help Industry 4.0 leaders in their choice of adequate manufacturing systems and their related problem-solving methods in their future pursuit of strategic organizational goals.

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