Journal ArticleDOI
Industry 4.0 triggered by Lean Thinking: insights from a systematic literature review
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TLDR
A systematic literature review was carried out in order to identify the role of Lean in this scenario and demonstrated this as an emerging research area with most of the studies published in recent years (2017–2019).Abstract:
Lean Thinking has successfully challenged mass production practices, by providing ‘leaner’ processes and supply chains, i.e. with less waste. Industry 4.0 has become an important strategic approach...read more
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Journal ArticleDOI
Industry 4.0 ten years on: A bibliometric and systematic review of concepts, sustainability value drivers, and success determinants
Morteza Ghobakhloo,Masood Fathi,Masood Fathi,Mohammad Iranmanesh,Parisa Maroufkhani,Manuel E. Morales +5 more
TL;DR: In this article, a systematic literature review of related articles, published online within the Industry 4.0 discipline until November 2020, identified 745 eligible articles and applied extensive qualitative and quantitative data analysis methodically.
Journal ArticleDOI
Green technological innovation, green finance, and financial development and their role in green total factor productivity: Empirical insights from China
TL;DR: Wang et al. as discussed by the authors examined the impact of green finance, financial development and green technology innovation on green total factor productivity (GTFP) in 28 Chinese provinces from 2011 to 2021.
Journal ArticleDOI
Technology mining: Artificial intelligence in manufacturing
Gordana Zeba,Marina Dabić,Marina Dabić,Mirjana Čičak,Tugrul U. Daim,Tugrul U. Daim,Tugrul U. Daim,Haydar Yalcin +7 more
TL;DR: The results indicate that the most important topics today are: cyber-physical systems and smart manufacturing; deep learning and big data; and real-time scheduling algorithms.
Journal ArticleDOI
Mass Personalisation as a Service in Industry 4.0: A Resilient Response Case Study
TL;DR: In this article, a case study for the implementation of mass personalisation as a service (MPaaS) in personalised face masks is presented, where the authors developed a framework and mathematical model to demonstrate the capability of the proposed solution to address one of the most critical challenges by making personalized face masks as an essential PPE in the critical industrial environment.
Journal ArticleDOI
What does operational excellence mean in the Fourth Industrial Revolution era
TL;DR: The term Operational Excellence (OE) has been widely applied over the past few decades, but its meaning is still ill-defined and may be especially aggravated after the advent of the In...
References
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Journal ArticleDOI
How Industry 4.0 can enhance Lean practices
TL;DR: In this paper, the authors present a systematic literature review that assesses how emerging disruptive technologies can enhance lean practices and analyse their impacts and benefits for organizations that are moving towards this new industrial paradigm.
Book ChapterDOI
Lean Transformation Integrated with Industry 4.0 Implementation Methodology
TL;DR: In this paper, a methodology that provides guidance for Industry 4.0 in a lean production environment is presented, and the interaction between lean production and Industry 4,0 technologies and automation-oriented lean production applications is discussed.
Journal ArticleDOI
Simulation Game for Intelligent Production Logistics – The PuLL® Learning Factory
TL;DR: The PuLL® Competence Centre as discussed by the authors developed a new learning factory for intelligent production logistics using simulation games, with the learning focus on internal material flow, intelligently combined with Industry 4.0 components.
Posted Content
Solving the Productivity Puzzle: The Role of Demand and the Promise of Digitization
TL;DR: In this article, the authors analyzed seven countries (the United States, Germany, France, UK, Italy, Spain, and Sweden) across six sectors (automotive, technology, retail, electric power, tourism, and finance) and examined supply and demand factors in the period from 2010 to 2014 compared to 2000 to 2004.
Journal ArticleDOI
Characterization of Industry 4.0 Lean Management Problem-Solving Behavioral Patterns Using EEG Sensors and Deep Learning
TL;DR: 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.