A Bibliometric Analysis of the Evolution of Six Sigma in the Context of Industry 4.0

Contemporary world with constantly increasing speed of change and rapid development of technologies is challenging companies to accustom to existing complexity. This led to the fact that various methodologies change accordingly. Practitioners and researchers are seeking the ways to ameliorate processes using emerging technologies. One of the methodologies is Six Sigma that has always been connected with technologies necessary for data collection and analysis. The emergence of new technologies might benefit or challenge Six Sigma. In this paper an attempt has been performed to analyze the trends in research output of the conjunction of Industry 4.0 technologies and Six Sigma methodology. This paper is based on the bibliometric analysis. In the process of analysis, it was found that the combination of Six Sigma methodology and Industry 4.0 technology has positive potential, however, not all of the technologies have been analyzed.

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Improvement of the Production Process in the Industry 4.0 Context

Multidisciplinary Aspects of Production Engineering ◽

10.2478/mape-2018-0008 ◽

2018 ◽

Vol 1 (1) ◽

pp. 55-62

Author(s):

Sandra Grabowska

Keyword(s):

Heat Treatment ◽

Industry 4.0 ◽

Industrial Revolution ◽

Treatment Process ◽

New Technologies ◽

Rapid Development ◽

Heat Treatment Process ◽

Metallurgical Enterprise ◽

Ishikawa Diagram ◽

Intensity Of Competition

Abstract Dynamically changing conditions of business activity, rapid development of new technologies, increasing intensity of competition, progressing globalisation pose for entrepreneurs new, much more difficult principles than before, especially due to the increase of intensity and complexity of the environment. It is reflected in the necessity of continuous improvement of processes and their quick reorganisation. The aim of the article is to present research conducted in metallurgical enterprise. In the article individual stages of heat treatment process, taking into consideration complications, errors and quality defects of the product arising at the stage of manufacturing the product were described. In order to minimize resulting defects, quality improvement system was implemented, using, among others Ishikawa diagram. In view of the fact that the world stands on the threshold of next industrial revolution, directions of improvement of heat treatment process in the context of Industry 4.0 were indicated.

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The Role of Big Data in Industry 4.0 in Mining Industry in Serbia

System Safety Human - Technical Facility - Environment ◽

10.2478/czoto-2020-0020 ◽

2020 ◽

Vol 2 (1) ◽

pp. 166-173

Author(s):

Eva Tylečková ◽

Darja Noskievičová

Keyword(s):

Big Data ◽

Information Systems ◽

Industry 4.0 ◽

New Technologies ◽

Rapid Development ◽

Mining Industry ◽

Poor Quality ◽

Quality Data ◽

Quality Of Data

AbstractThe current age characterized by unstoppable progress and rapid development of new technologies and methods such as the Internet of Things, machine learning and artificial intelligence, brings new requirements for enterprise information systems. Information systems ought to be a consistent set of elements that provide a basis for information that could be used in context to obtain knowledge. To generate valid knowledge, information must be based on objective and actual data. Furthermore, due to Industry 4.0 trends such as digitalization and online process monitoring, the amount of data produced is constantly increasing – in this context the term Big Data is used. The aim of this article is to point out the role of Big Data within Industry 4.0. Nevertheless, Big Data could be used in a much wider range of business areas, not just in industry. The term Big Data encompasses issues related to the exponentially growing volume of produced data, their variety and velocity of their origin. These characteristics of Big Data are also associated with possible processing problems. The article also focuses on the issue of ensuring and monitoring the quality of data. Reliable information cannot be inferred from poor quality data and the knowledge gained from such information is inaccurate. The expected results do not appear in such a case and the ultimate consequence may be a loss of confidence in the information system used. On the contrary, it could be assumed that the acquisition, storage and use of Big Data in the future will become a key factor to maintaining competitiveness, business growth and further innovations. Thus, the organizations that will systematically use Big Data in their decision-making process and planning strategies will have a competitive advantage.

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Positive Effect of Industry 4.0 on Quality and Operations Management

International Journal of Online and Biomedical Engineering (iJOE) ◽

10.3991/ijoe.v17i09.24717 ◽

2021 ◽

Vol 17 (09) ◽

pp. 133

Author(s):

Hanane Rifqi ◽

Abdellah Zamma ◽

Souad Ben Souda ◽

Mohamed Hansali

Keyword(s):

Artificial Intelligence ◽

Operations Management ◽

Six Sigma ◽

Industry 4.0 ◽

New Technologies ◽

Lean Six Sigma ◽

Quality Practices ◽

Technological Advances ◽

Potential Gain ◽

Positive Effect

the last decade has witnessed the birth of technological advances such as the IoT, artificial intelligence, machine learning and augmented reality. These technologies have driven the transition to Industry 4.0 where they have enabled the digitization of manufacturing with potential gain. Also Industry 4.0 has given birth to several new hybrid concepts as well as several management operations to take advantage and become more efficient by using IoT and these new technologies. In our paper, we discuss the effect of Industry 4.0 on management and quality practices by answering the following questions based on the literature review: What is the positive effect of Industry 4.0 on quality improvement and operations management? How does Industry 4.0 integrate concepts (Lean, Six Sigma, Supply Chain ...) to create new paradigms?

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Contact points between Lean Six Sigma and Industry 4.0: a systematic review and conceptual framework

International Journal of Quality & Reliability Management ◽

10.1108/ijqrm-12-2020-0396 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Juliano Endrigo Sordan ◽

Pedro Carlos Oprime ◽

Marcio Lopes Pimenta ◽

Sérgio Luis da Silva ◽

Mario Orestes Aguirre González

Keyword(s):

Conceptual Framework ◽

Six Sigma ◽

Industry 4.0 ◽

New Technologies ◽

Lean Six Sigma ◽

Future Research ◽

Content Type ◽

Contact Points ◽

Technical Requirements ◽

Two Samples

PurposeThis paper aims to develop a conceptual framework of the implementation of the contact points (CPs) between Lean Six Sigma practices and Industry 4.0 technologies.Design/methodology/approachA systematic literature review was carried out based on two samples. A first sample containing 78 articles was analyzed through bibliometric indicators. After that, a second sample of 33 articles was analyzed in-depth according to research questions.FindingsThe conceptual framework involves 13 CPs between Lean Six Sigma (LSS) practices and I4.0 technologies (what), going through the technical requirements needed (how), categorized as information technology (IT), automation and competence requirements, to finally present the main results reported in the literature (why).Research limitations/implicationsThis paper presents an innovative perspective of interactions between digital technologies and LSS practices, expanding knowledge about Digital LSS. Such perspective gives emphasis to the importance of technical requirements, such as communication and connectivity protocols, network topology, machine-to-machine communication (M2M), human–machine interfaces (HMI), as well as analytical and digital skills.Practical implicationsThe managerial implications regarding the digitalization of LSS practices address the investments required for the acquisition and maintenance of cyber-physical systems (CPS). Moreover, there is a need for the development of skills so that operators can successfully use the new technologies in a context of continuous improvement.Originality/valueThis paper presents a conceptual framework covering 13 CPs between LSS practices and Industry 4.0 technologies, the technical requirements and the expected results. It is hoped that this framework can assist future research and operational excellence projects towards digitalization.

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When Industry 4.0 meets Lean Six Sigma: A review

10.26488/iej.13.1.1214 ◽

2020 ◽

Vol 13 (1) ◽

Cited By ~ 1

Author(s):

Harsimran Sodhi

Keyword(s):

Six Sigma ◽

Industry 4.0 ◽

Lean Six Sigma

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The Synergy between CRISPR and Chemical Engineering

Current Gene Therapy ◽

10.2174/1566523219666190701100556 ◽

2019 ◽

Vol 19 (3) ◽

pp. 147-171

Author(s):

Cia-Hin Lau ◽

Chung Tin

Keyword(s):

Viral Vectors ◽

Chemical Engineering ◽

Target Genes ◽

New Technologies ◽

Rapid Development ◽

Genetic Circuits ◽

Viral Packaging ◽

Conditional Control ◽

Logic Operations

Gene therapy and transgenic research have advanced quickly in recent years due to the development of CRISPR technology. The rapid development of CRISPR technology has been largely benefited by chemical engineering. Firstly, chemical or synthetic substance enables spatiotemporal and conditional control of Cas9 or dCas9 activities. It prevents the leaky expression of CRISPR components, as well as minimizes toxicity and off-target effects. Multi-input logic operations and complex genetic circuits can also be implemented via multiplexed and orthogonal regulation of target genes. Secondly, rational chemical modifications to the sgRNA enhance gene editing efficiency and specificity by improving sgRNA stability and binding affinity to on-target genomic loci, and hence reducing off-target mismatches and systemic immunogenicity. Chemically-modified Cas9 mRNA is also more active and less immunogenic than the native mRNA. Thirdly, nonviral vehicles can circumvent the challenges associated with viral packaging and production through the delivery of Cas9-sgRNA ribonucleoprotein complex or large Cas9 expression plasmids. Multi-functional nanovectors enhance genome editing in vivo by overcoming multiple physiological barriers, enabling ligand-targeted cellular uptake, and blood-brain barrier crossing. Chemical engineering can also facilitate viral-based delivery by improving vector internalization, allowing tissue-specific transgene expression, and preventing inactivation of the viral vectors in vivo. This review aims to discuss how chemical engineering has helped improve existing CRISPR applications and enable new technologies for biomedical research. The usefulness, advantages, and molecular action for each chemical engineering approach are also highlighted.

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Emerging Industrial Revolution: Symbiosis of Industry 4.0 and Circular Economy: The Role of Universities

Science Technology and Society ◽

10.1177/0971721820912918 ◽

2020 ◽

Vol 25 (3) ◽

pp. 505-525 ◽

Cited By ~ 4

Author(s):

Seeram Ramakrishna ◽

Alfred Ngowi ◽

Henk De Jager ◽

Bankole O. Awuzie

Keyword(s):

Economic Growth ◽

Circular Economy ◽

Industry 4.0 ◽

Business Models ◽

Industrial Revolution ◽

New Technologies ◽

Production Systems ◽

Fourth Industrial Revolution ◽

New Jobs

Growing consumerism and population worldwide raises concerns about society’s sustainability aspirations. This has led to calls for concerted efforts to shift from the linear economy to a circular economy (CE), which are gaining momentum globally. CE approaches lead to a zero-waste scenario of economic growth and sustainable development. These approaches are based on semi-scientific and empirical concepts with technologies enabling 3Rs (reduce, reuse, recycle) and 6Rs (reuse, recycle, redesign, remanufacture, reduce, recover). Studies estimate that the transition to a CE would save the world in excess of a trillion dollars annually while creating new jobs, business opportunities and economic growth. The emerging industrial revolution will enhance the symbiotic pursuit of new technologies and CE to transform extant production systems and business models for sustainability. This article examines the trends, availability and readiness of fourth industrial revolution (4IR or industry 4.0) technologies (for example, Internet of Things [IoT], artificial intelligence [AI] and nanotechnology) to support and promote CE transitions within the higher education institutional context. Furthermore, it elucidates the role of universities as living laboratories for experimenting the utility of industry 4.0 technologies in driving the shift towards CE futures. The article concludes that universities should play a pivotal role in engendering CE transitions.

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Application of Lean Six Sigma Methodology and Queueing Theory to Minimize Systemic Variability: A Case Study from Public Services

2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) ◽

10.1109/ieem45057.2020.9309995 ◽

2020 ◽

Author(s):

F. P. Santhiapillai ◽

R. M. Chandima Ratnayake

Keyword(s):

Six Sigma ◽

Queueing Theory ◽

Public Services ◽

Lean Six Sigma ◽

Six Sigma Methodology

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Embracing Industry 4.0: Empirical Insights from Malaysia

Informatics ◽

10.3390/informatics8020030 ◽

2021 ◽

Vol 8 (2) ◽

pp. 30

Author(s):

Mansoor Ahmed Soomro ◽

Mohd Hizam-Hanafiah ◽

Nor Liza Abdullah ◽

Mohd Helmi Ali ◽

Muhammad Shahar Jusoh

Keyword(s):

Industry 4.0 ◽

New Technologies ◽

Descriptive Study ◽

Digital Transformation ◽

Quantitative Approach ◽

Survey Questionnaire ◽

Digital Revolution ◽

Leadership Strategy ◽

The Right ◽

The Cost

Industry 4.0 revolution, with its cutting-edge technologies, is an enabler for businesses, particularly in reducing the cost and improving the productivity. However, a large number of organizations are still too in their infancy to leverage the true potential of Industry 4.0 and its technologies. This paper takes a quantitative approach to reveal key insights from the companies that have implemented Industry 4.0 technologies. For this purpose, 238 technology companies in Malaysia were studied through a survey questionnaire. As technology companies are usually the first in line to adopt new technologies, they can be studied better as leaders in adopting the latest technologies. The findings of this descriptive study surfaced an array of insights in terms of Industry 4.0 readiness, Industry 4.0 technologies, leadership, strategy, and innovation. This research paper contributes by providing 10 key empirical insights on Industry 4.0 that can be utilized by managers to pace up their efforts towards digital transformation, and can help the policymakers in drafting the right policy to drive the digital revolution.

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