scholarly journals Digitalization and Innovative Management of Traditional Manufacturing Industry

2021 ◽  
Author(s):  
Minhua Zhao
Keyword(s):  
Machine Tools ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Industries ◽  
Future Research ◽  
Metalworking Industry ◽  
Innovative Management ◽  
Challenges And Opportunities ◽  
Highly Correlated ◽  
Traditional Manufacturing

Purpose- This study seeks to investigate the collaboration between Digitalization and traditional manufacturing industry and investigate, how digitalized management brings new chances and challenges of management. Design/methodology/approach – The author designed a content analytical study researching the role of digitalization in traditional manufacturing industries. The article presents a selective but systematical review of recent digitalization trend and digital twin to be applied for innovative management in Industry 4.0 era. Findings– Digitalization is highly correlated with traditional manufactory in Industry 4.0 era. The study brings a new outlook on the next wave of Digitalization and review of associated challenges and opportunities for management and innovation in traditional manufacturing industries. Research limitations/implications – The research focuses on two branches of traditional industries only: machine tools building and metalworking industries. Future research needs to examine other traditional industries. The research is limited to 2 high related traditional manufacturing industries, machine tools and metalworking industry. Practical implications – The study and application of digitalization should be highly recommended and launched in traditional manufacturing industries. Universities, institutes and vocational schools should update, optimize their courses systems according to prediction of future industry. Originality/value – The paper enhances understanding about the collaboration between digitalization and traditional manufacturing industry. This paper analyzes an important issue the digitalization serves traditional industries. It is unique in its broad analysis of the related terms – Digitalization, Machines 4.0, Industry 4.0 and innovative management in Industry 4.0 era.

scholarly journals Multi-Layer Quality Inspection System Framework for Industry 4.0

2021 ◽  
Vol 15 (5) ◽  
pp. 641-650
Author(s):  
Victor Azamfirei ◽  
◽  
Anna Granlund ◽  
Yvonne Lagrosen
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Production Control ◽  
Measurement Instrument ◽  
Future Research ◽  
Inspection System ◽  
Work Piece ◽  
Quality Inspection ◽  
Industrial Case Study ◽  
Key Factor

In the era of market globalisation, the quality of products has become a key factor for success in the manufacturing industry. The growing demand for customised products requires a corresponding adjustment of processes, leading to frequent and necessary changes in production control. Quality inspection has been historically used by the manufacturing industry to detect defects before customer delivery of the end product. However, traditional quality methods, such as quality inspection, suffer from large limitations in highly customised small batch production. Frameworks for quality inspection have been proposed in the current literature. Nevertheless, full exploitation of the Industry 4.0 context for quality inspection purpose remains an open field. Vice-versa, for quality inspection to be suitable for Industry 4.0, it needs to become fast, accurate, reliable, flexible, and holistic. This paper addresses these challenges by developing a multi-layer quality inspection framework built on previous research on quality inspection in the realm of Industry 4.0. In the proposed framework, the quality inspection system consists of (a) the work-piece to be inspected, (b) the measurement instrument, (c) the actuator that manipulates the measurement instrument and possibly the work-piece, (d) an intelligent control system, and (e) a cloud-connected database to the previous resources; that interact with each other in five different layers, i.e., resources, actions, and data in both the cyber and physical world. The framework is built on the assumption that data (used and collected) need to be validated, holistic and on-line, i.e., when needed, for the system to effectively decide upon conformity to surpass the presented challenges. Future research will focus on implementing and validating the proposed framework in an industrial case study.

scholarly journals INDUSTRI 4.0: TELAAH KLASIFIKASI ASPEK DAN ARAH PERKEMBANGAN RISET

2018 ◽  
Vol 13 (1) ◽  
pp. 17 ◽  
Author(s):  
Hoedi Prasetyo ◽  
Wahyudi Sutopo
Keyword(s):  
Literature Review ◽  
Research Methods ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Research Direction ◽  
Research Trend ◽  
Future Research ◽  
Upward Trend ◽  
Future Direction

AbstrakIstilah Industri 4.0 lahir dari ide tentang revolusi industri keempat. Keberadaannya menawarkan banyak potensi manfaat. Guna mewujudkan Industri 4.0, diperlukan keterlibatan akademisi dalam bentuk riset. Artikel ini bertujuan untuk menelaah aspek dan arah perkembangan riset terkait Industri 4.0. Pendekatan yang digunakan adalah studi terhadap beragam definisi dan model kerangka Industri 4.0 serta pemetaan dan analisis terhadap sejumlah publikasi. Beberapa publikasi bertema Industri 4.0 dipilah menurut metode penelitian, aspek kajian dan bidang industri. Hasil studi menunjukkan Industri 4.0 memiliki empat belas aspek. Ditinjau dari metode penelitian, sebagian besar riset dilakukan melalui metode deskriptif dan konseptual. Ditinjau dari aspeknya, aspek bisnis dan teknologi menjadi fokus riset para peneliti. Ditinjau dari bidang industri penerapannya, sebagian besar riset dilakukan di bidang manufaktur. Ditinjau dari jumlahnya, riset terkait Industri 4.0 mengalami tren kenaikan yang signifikan. Artikel ini diharapkan dapat memberi gambaran mengenai apa itu Industri 4.0, perkembangan dan potensi riset yang ada di dalamnya. AbstractIndustry 4.0: Study of Aspects Classification and Future Research Direction. The term Industrial 4.0 refers to the idea about fourth industrial revolution. In order to realize Industry 4.0, academic involvement is required in the form of research. This article aims to define the aspects and future direction of research related to Industry 4.0. Literature review of various definition and concept models of Industry 4.0. was conducted to acquire the aspects. Mapping and analysis of several publications were conducted to determine the future direction of research. Publications were sorted according to research methods, aspects and type of industry. The result shows that Industry 4.0 has fourteen aspects. Based on research methods, most of the research is done through descriptive and conceptual methods. Business and technology aspects become the focus of the researchers and most of the research is done in manufacturing industry. Based on quantities, Industrial 4.0 research has experienced a significant upward trend. This article is expected to illustrate the concept, future development and research trend of Industry 4.0.Keywords: Industry 4.0; Literature Review; Research Trend

scholarly journals Technology Enabled Manufacturing Industry Practices – Industry 4.0

2020 ◽  
Vol 8 (4S4) ◽  
pp. 160-162
Keyword(s):  
Energy Efficiency ◽  
Virtual Reality ◽  
Augmented Reality ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Emerging Technologies ◽  
Manufacturing Industries ◽  
Paradigm Shifts ◽  
Vital Part ◽  
Manufacturing Quality

The main aim of this research is to identify the scope for matured and emerging technologies to improve the quality, productivity, energy efficiency and sustainability. Industry 4.0 encourages the manufacturing industries to embrace conducive technologies. The paradigm shifts with OEMs manufacturing quality levels naturally elevate the expectations from the supplier industries. This demands more from the technology and R&D firms to deliver. Simulation technologies are becoming vital part of the industry practices. Augmented Reality and Virtual Reality based simulations are being analyzed here with its utility in manufacturing industries.

Industry 4.0: coherent definition framework with technological and organizational interdependencies

2019 ◽  
Vol 31 (5) ◽  
pp. 837-862 ◽  
Author(s):  
Katarzyna Nosalska ◽  
Zbigniew Michał Piątek ◽  
Grzegorz Mazurek ◽  
Robert Rządca
Keyword(s):  
Literature Review ◽  
Industry 4.0 ◽  
Production Management ◽  
Meta Analysis ◽  
Future Research ◽  
Holistic View ◽  
Content Type ◽  
Industrial Companies ◽  
Traditional Manufacturing ◽  
Key Aspects

Purpose The purpose of this paper is to introduce coherent Industry 4.0 definition via a rigorous analysis framework, and provide a holistic view of technological, organizational and other key aspects (variables) of Industry 4.0 along with the identification of interdependencies that co-occur between them. Design/methodology/approach The study conducts a systematic literature review using Preferred Reporting Items for Systematic Review and Meta-Analysis methodology, and includes 675 papers analyzed both quantitatively and qualitatively. The former utilizes TIBCO Statistica. Furthermore, to define Industry 4.0, the authors reviewed 52 publications. Findings Industry 4.0 is a multidimensional system of value creation that includes 42 groups of terms in management, organizational and business-related variables, 30 technological and manufacturing-related variables – classified into seven categories – and several interdependencies that co-occur between them. Practical implications The analyses’ outcomes are of high importance both for academia and industry practitioners, as the findings elucidate the meaning of Industry 4.0 and may be used as the basis of future research in management, production management, industrial organizations and other Industry 4.0-related disciplines. Regarding industrial companies, the publication serves as a compendium, and should support industrial businesses in the transition from traditional manufacturing into the Industry 4.0 era. Originality/value This work’s novelty and value is threefold: first, the paper introduces an Industry 4.0 definition framework based on the most popular publications in the field. Second, the paper identifies and presents Industry 4.0’s common technologies and organizational variables via a systematic and current literature review. Finally, the paper extends the ongoing discourse on Industry 4.0. For the first time in this discipline, interdependences between identified Industry 4.0 variables are presented and discussed.

scholarly journals Selection the Basic Lean Manufacturing Techniques in Developing the Model for Industry 4.0 in Kosovo Manufacturing Industry

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 62
Author(s):  
Fatmir Azemi ◽  
Roberto Lujić ◽  
Goran Šimunović ◽  
Daniel Tokody
Keyword(s):  
Literature Review ◽  
Production System ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Industries ◽  
Manufacturing Enterprises ◽  
Lean Tools ◽  
Manufacturing Techniques ◽  
Selection Of

Recently, there have been done numerous investigations related to lean manufacturing techniques. However, very little has been reported about the implementation and selection of lean manufacturing in the Kosovo manufacturing industry. This article presents the application of lean tools through Kosovo manufacturing industries and the selection of the most useful lean techniques for developing a model for an innovative smart Kosovo enterprise which is our initiative in the process of preparing Kosovo enterprises for the new age of industry—Industry 4.0. After several visits through Kosovo enterprises, the literature review has noticed that there is no investigation in the selection and implementation of lean techniques and tools in Kosovo enterprises. The purpose was to understand how Kosovo manufacturing enterprises use lean techniques and which are the most useful techniques. Analyses have been done based on interviews and questionnaires. Seven basic lean techniques are selected based on the response from the questionnaire and representing basic lean tools for developing a model of a production system regarding Industry 4.0.

Industry 4.0

2021 ◽  
pp. 1551-1564
Author(s):  
Immo H. Wernicke
Keyword(s):  
Industry 4.0 ◽  
Swot Analysis ◽  
Digital Technologies ◽  
Industrie 4.0 ◽  
Sustainable Growth ◽  
Business Results ◽  
Challenges And Opportunities ◽  
Traditional Manufacturing ◽  
The Impact ◽  
Smart Factories

The German Government and the European Commission have launched the strategic initiative named Industrie 4.0 for a re-industrialization of Germany and Europe and for achieving more competitiveness and sustainable growth. The strategy promotes and supports R&D and the implementation of digital technologies at SMEs of the traditional manufacturing industries. Digital technologies include Cyber Physical Systems, Cloud Computing, Robotics, 3D-printer-technology, Smart Factories, Additive-Manufacturing, and Artificial Intelligence. The impact of digitization on the economy, on employment, and on business results of SMEs is not yet clear due to insufficient availability of business data. The methodological framework of a SWOT-Analysis might be most convenient to discuss the strength, weakness, challenges, and opportunities of the strategy and the threats on its implementation. The contribution is addressed to politicians, academics, media, startups, and managers of SMEs that are less familiar with the Industrie 4.0 strategy. The concept might be useful to overcome the impact of the corona virus lockdown.

Industry 4.0 adoption key factors: an empirical study on manufacturing industry

2020 ◽  
Vol 17 (5) ◽  
pp. 697-725
Author(s):  
Sanjiv Narula ◽  
Surya Prakash ◽  
Maheshwar Dwivedy ◽  
Vishal Talwar ◽  
Surendra Prasad Tiwari
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Principal Component ◽  
Manufacturing Industries ◽  
Maturity Model ◽  
Critical Factors ◽  
Key Factors ◽  
Content Type ◽  
Starting Point ◽  
Shed Light

PurposeThis research aims to outline the key factors responsible for industry 4.0 (I4.0) application in industries and establish a factor stratification model.Design/methodology/approachThis article identifies the factor pool responsible for I4.0 from the extant literature. It aims to identify the set of key factors for the I4.0 application in the manufacturing industry and validate, classify factor pool using appropriate statistical tools, for example, factor analysis, principal component analysis and item analysis.FindingsThis study would shed light on critical factors and subfactors for implementing I4.0 in manufacturing industries from the factor pool. This study would shed light on critical factors and subfactors for implementing I4.0 in manufacturing industries. Strategy, leadership and culture are found key elements of transformation in the journey of I4.0. Additionally, design and development in the digital twin, virtual testing and simulations were also important factors to consider by manufacturing firms.Research limitations/implicationsThe proposed I4.0 factor stratification model will act as a starting point while designing strategy, adopting readiness index for I4.0 and creating a roadmap for I4.0 application in manufacturing. The I4.0 factors identified and validated in this paper will act as a guide for policymakers, researchers, academicians and practitioners working on the implementation of Industry 4.0. This work establishes a solid groundwork for developing an I4.0 maturity model for manufacturing industries.Originality/valueThe existing I4.0 literature is critically examined for creating a factor pool that further presented to experts to ensure sufficient rigor and comprehensiveness, particularly checking the relevance of subfactors for the manufacturing sector. This work is an attempt to identify and validate major I4.0 factors that can impact its mass adoption that is further empirically tested for factor stratification.

scholarly journals Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Lixiong Gong ◽  
Bingqian Zou ◽  
Zhiqun Kan
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Production Equipment ◽  
Utilization Rate ◽  
Mixed Flow ◽  
Logistics System ◽  
Automobile Assembly ◽  
Manufacturing Efficiency ◽  
Equipment Utilization ◽  
Traditional Manufacturing

Industry 4.0 promotes the development of traditional manufacturing industry to digitization, networking, and intellectualization. Smart factory is composed of network that includes production equipment, robot, conveyor, and logistics system. According to the characteristics of the mixed flow assembly, a simulation platform of automobile mixed flow assembly is built based on industry 4.0 in the paper, which operates and manages automobile assembly, logistics warehouse, and CPS effectively. On this basis, FlexSim software is adopted to establish the auto-mixed assembly model that finds out the bottleneck of auto-mixed assembly problem. By means of parameter adjustment, rearrangement, and merger of process, the whole assembly time of the 500 automobiles dropped by 33 hours, the equipment utilization rate increased by 20.19%, and the average blocked rate decreased by 21.19%. The optimized results show that the proposed model can greatly increase manufacturing efficiency and practical application in industry 4.0.

scholarly journals Impact of IoT on Manufacturing Industry 4.0: A New Triangular Systematic Review

2021 ◽  
Vol 13 (22) ◽  
pp. 12506
Author(s):  
Tahera Kalsoom ◽  
Shehzad Ahmed ◽  
Piyya Muhammad Rafi-ul-Shan ◽  
Muhammad Azmat ◽  
Pervaiz Akhtar ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Empirical Studies ◽  
Future Research ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
Iot Applications ◽  
Research Domains ◽  
The Internet Of Things

The Internet of Things (IoT) has realised the fourth industrial revolution concept; however, its applications in the manufacturing industry are relatively sparse and primarily investigated without contextual peculiarities. Our research undertakes an intricate critical review to investigate significant aspects of IoT applications in the manufacturing Industry 4.0 perspective to address this gap. We adopt a systematic literature review approach by Denyer and Tranfield (2009) to carry out critical analyses that help develop future research domains based on empirical studies. We describe key knowledge gaps in the existing literature and empirical studies by exploring the main contribution categories and finding six critical differences between traditional and manufacturing Industry 4.0 and 10 enablers and 11 challenges of IoT applications. Finally, an agenda for future research is proposed with 11 research domains to focus on the recognised gaps.

scholarly journals Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review

2021 ◽  
Author(s):  
Sung Wook Kim ◽  
Jun Ho Kong ◽  
Sang Won Lee ◽  
Seungchul Lee
Keyword(s):  
Artificial Intelligence ◽  
Public Interest ◽  
Industry 4.0 ◽  
Manufacturing Industries ◽  
Human Beings ◽  
Precision Engineering ◽  
Daily Lives ◽  
Industrial Sectors ◽  
Recent Advances ◽  
Traditional Manufacturing

AbstractThe recent advances in artificial intelligence have already begun to penetrate our daily lives. Even though the development is still in its infancy, it has been shown that it can outperform human beings even in terms of intelligence (e.g., AlphaGo by DeepMind), implying a massive potential for its broader application in various industrial sectors. In particular, the growing public interest in industry 4.0, which focuses on revolutionizing the traditional manufacturing scene, has stimulated a deeper investigation of its possible applications in the related industries. Since it has several limitations that hinder its direct usage, research on the convergence of artificial intelligence with other engineering fields, including precision engineering and manufacturing, is ongoing. This overview looks to summarize some of the important achievements made using artificial intelligence in some of the most influential and lucrative manufacturing industries in hopes of transforming the manufacturing sites.

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